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Act as a Patient, Non-Technical Android Studio Guide
A reusable prompt for asking an AI assistant to work as Act as a Patient, Non-Technical Android Studio Guide.
Agent skills for software development, debugging, code review, and implementation. These skills are SKILL.md packages — reusable agent workflows — not one-off prompts. Each card links to when-to-use notes and install steps.
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A reusable prompt for asking an AI assistant to work as Act as a Patient, Non-Technical Android Studio Guide.
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Guide for adding a backend (Rust or Python) to the agent-sec-core security middleware. Use when creating new backends, integrating Rust or Python code into the security middleware, or extending with new backend actions.
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Drive iOS and Android devices for the Expensify App - testing, debugging, performance profiling, bug reproduction, and feature verification. Use when the developer needs to interact with the mobile app on a device.
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Records iOS/Android native MP4 evidence for test/repro flows extracted from an Expensify GitHub PR or issue. Use when the user asks to "record the flow for PR #X", "capture mobile evidence for issue #Y", or "produce screenshots/videos for <PR or issue URL>". Mobile-native only - declines mWeb and Desktop.
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Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.
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Add a redacted agent transcript section to GitHub PR or issue bodies during OpenClaw agent-created PR/issue workflows.
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Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
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Analyze Drift / SQLite slow-query and super-slow-query logs against this app's known stall patterns (read waves, N+1, transaction scoping, MultiExecutor contention, WAL/OS factors)
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A reusable prompt for asking an AI assistant to work as Analyze PDF and Create MATLAB Code.
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Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.
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Guide for modern game anti-cheat architecture, Windows kernel monitoring, and detection tradeoffs. Use this skill when analyzing EAC, BattlEye, Vanguard, FACEIT AC, kernel callbacks, handle protection, manual-map detection, boot-start drivers, BYOVD, DMA threats, or behavioral telemetry in game security research.
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Verify a named artifact, workflow, deployment, or script against observable evidence. Read-only by default, bounded to the requested target, and explicit when evidence is incomplete.
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A reusable prompt for asking an AI assistant to work as Any Programming Language to Python Converter.
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REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs. Use when designing or reviewing REST endpoints, resource names, status codes, pagination, or versioning.
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Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
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Automate web scraping and data extraction with Apify -- run Actors, manage datasets, create reusable tasks, and retrieve crawl results through the Composio Apify integration.
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Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use this skill when designing clean architecture for a new microservice, when refactoring a monolith to use bounded contexts, when implementing hexagonal or onion architecture patterns, or when debugging dependency cycles between application layers.
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A reusable prompt for asking an AI assistant to work as Arista Network Configuration Expert.
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Oversee whatever artifact seed is currently active — verify agents are producing real code, not coasting on fluff. Reads the active seed from seeds.json and adapts to any project or deliverable.
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Automate recruiting and hiring workflows in Ashby -- manage candidates, jobs, applications, interviews, and notes through natural language commands.
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Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
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Investigate reported auth, credential, permission, API proxy, 401, 403, 503, OAuth, token, or secret-resolution failures by querying VictoriaLogs first. Use when a user says an integration auth failed, a tool got unauthorized/forbidden/service unavailable, an api-proxy request failed, or asks why credentials/secrets are not working.
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Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.
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A reusable prompt for asking an AI assistant to work as AUTOSAR Software Module Developer.
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Terapkan kontrol akses RBAC+ABAC default-deny plus RLS pada endpoint/service AWCMS. Gunakan pada setiap endpoint non-public dan setiap akses data tenant-scoped. Menegakkan default deny, deny-overrides-allow, decision log, dan tenant isolation sesuai doc 03 & 10.
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Konteks desain lintas-fitur untuk pengerasan auth online awcms (Turnstile, MFA/TOTP, OIDC/SSO, admin policy UI). PENTING — nomor issue #587-#593, nama file, nama tabel, nomor migrasi, dan path endpoint di badan skill ini milik repo LAIN (awcms-micro); di awcms semuanya bernama BEDA. Baca §Peta ke artefak nyata awcms lebih dulu, lalu perlakukan sisanya sebagai catatan alasan-desain, bukan rujukan path. Kapabilitasnya SENDIRI sudah ada di awcms per #184/#185/#186/#274 — jangan bangun ulang.
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A reusable prompt for asking an AI assistant to work as Banking System App Development with CRUD Operations.
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Master defensive Bash programming techniques for production-grade scripts. Use when writing robust shell scripts, CI/CD pipelines, or system utilities requiring fault tolerance and safety.
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Optimize Bazel builds for large-scale monorepos. Use when configuring Bazel, implementing remote execution, or optimizing build performance for enterprise codebases.
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Master binary analysis patterns including disassembly, decompilation, control flow analysis, and code pattern recognition. Use when analyzing executables, understanding compiled code, or performing static analysis on binaries.
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Configure a PreToolUse hook to prevent AI agents from skipping git pre-commit hooks with --no-verify and other bypass flags. Use when setting up Claude Code projects that enforce commit quality gates.
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Ensure async-path backend code that could block the asyncio event loop is protected by a teeth-verified runtime anchor in tests/blockingio/. Use when changing backend Python under app/, packages/harness/deerflow/, or scripts/, when running a blocking-IO triage round over the whole repo, or when a reviewer/CI asks for blocking-IO coverage. Runs a deterministic scan (changed-lines or full-repo), routes each candidate, drafts/extends an anchor, and proves it fails when the blocking IO regresses.
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Autonomously set up a complete Rappterbook world simulation from a fresh fork. Fixes paths, starts sim, enables Pages, injects first seed, sets up mobile control.
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Break up a large PR into vertical feature slices delivered incrementally via Graphite stacked PRs. All verticals share a single feature flag so the entire feature ships atomically. Use when: splitting a large PR, breaking up a diff, vertical slicing, incremental delivery, phased rollout, or when a PR is too large to review.
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A reusable prompt for asking an AI assistant to work as Build a Self-Hosted App Dashboard with Next.js.
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Dev environment setup for NeMo AutoModel — container-based development, uv package management, installation options, environment variables, and common build pitfalls.
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Smoke test the Agent Builder feature branch end-to-end against a hermetic project scaffolded by the skill (linked to the current worktree). Covers workspace reconciliation, stored agents/skills CRUD, ownership, visibility, stars, registry/library Copy flow, picker allowlists, model policy, RBAC role gating, role impersonation UI, builder defaults, infrastructure diagnostics, channels, and Studio + Agent Builder UI. Trigger when validating the agent-builder feature branch, PRs that touch packages/server, packages/playground, packages/playground-ui agent-builder routes, or builder EE code paths.
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A reusable prompt for asking an AI assistant to work as Building an Inventory Management System.
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Integrate Cardcom payment processing and Israeli invoice generation into applications, covering Low Profile payments, tokenization, recurring billing, and automatic tax invoice/receipt creation per Israeli law. Use when user asks to accept payments via Cardcom, generate Israeli invoices with payments, set up "slikat ashrai" with hashbonit, handle recurring billing (hora'ot keva), or mentions "Cardcom", "CardCom API", "Low Profile", Israeli payment with invoicing, or needs combined payment plus document generation. Targets the REST API V11. Do NOT use for Tranzila integration (use tranzila-payment-gateway), general accounting, or non-payment queries.
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Detect cell-ordering / enchainement problems in Jupyter notebooks (canonical-order slippage, misplaced or forgotten cells). Arguments: [target] [--severity HIGH|MED|LOW] [--json]
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Use Checkov to scan Terraform and infrastructure-as-code repositories for policy violations, explain findings, choose safe fixes, rerun scans, and prepare pull requests with remediations.
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Diagnose failed GitHub Actions runs for pi-agent-dashboard. Maps the 6-workflow taxonomy (ci.yml, ci-electron.yml, electron-build.yml, publish.yml, sync-release-version.yml, deploy-site.yml), walks the release pipeline (prepare→publish→electron→github-release with strict needs[] contract), surfaces known failure modes (lockfile mismatch, bad Node version, CHANGELOG already-versioned, npm publish ordering, no-bash-on-Windows lint, missing node-pty prebuilds, GO/NO-GO bundle-server guard), and shows how to read gh run logs and retrigger failed jobs. Use when a CI run is red, a release is stuck, a workflow won't dispatch, or you need to understand which workflow does what. For triggering a release see release-cut; for revoking one see release-revoke.
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CI/CD reference for NeMo AutoModel — pipeline structure, commit and PR workflow, CI failure investigation, and common failure patterns.
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A reusable prompt for asking an AI assistant to work as Cinematic Vertical Portrait of Vintage Car Radio at Night.
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Up-to-date Claude API reference for model IDs, tool use, MCP, prompt caching, streaming, and SDK patterns so an agent stops guessing against stale docs.
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Rules when working with ClickHouse database in Gram for analytics and telemetry features, including editing the ClickHouse schema (server/clickhouse/schema.sql) and creating or fixing ClickHouse migrations
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Set up and run the doughnut dev environment on Cursor Cloud VM (no Nix). Use when working on Cloud VM, running tests on Cloud VM, or encountering command errors related to missing nix. Triggers on: cloud VM, cloud agent, no nix available, /workspace path.
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Drive static-analysis code quality in pi-agent-dashboard with Biome (analyze → fix → test). Two modes — changed-files (the goal-loop daily driver, scoped to git diff vs develop) and whole-repo (explicit, scoped cleanup). Owns the procedure; the goal-plugin's judge owns when-to-stop via the quality:changed exit code. Use when asked to "improve code quality", "lint and fix", "clean up warnings", "fix Biome issues", "run static analysis", or when setting a code-quality goal. Skip for one-line edits.
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Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review standards, or mentoring developers.
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A reusable prompt for asking an AI assistant to work as Code Translator: Any Language to Any Language.
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A reusable prompt for asking an AI assistant to work as Coding Structure with MVC and SOLID Principles.
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Use Centaur's indexed company context together with direct Slack, Linear, Google Docs, Drive, Calendar, or Granola searches when answering internal company-history, prior-decision, project-context, meeting-context, roadmap/status, or cross-source memory questions. Indexed context includes Slack channels, user-visible Slack DMs, Google Docs, Google Calendar, Linear, and user-visible Granola notes. Use for questions like what was discussed, decided, planned, mentioned, or documented internally, especially when the user did not name one exact source.
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A reusable prompt for asking an AI assistant to work as Comprehensive repository analysis.
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A reusable prompt for asking an AI assistant to work as Comprehensive Repository Analysis and Bug Fixing Framework.
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Hill-climb the benchmarks in elizaOS/asi, a JAX continual-reinforcement-learning framework, with optional public payout registration. Use when an agent is asked to improve a measured result, port a method from the literature, fix something that corrupts measurement, decisively close a research direction with paired evidence, or register a public Solana payout address.
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Advance, test, refute, or independently review machine-checked work in elizaOS/proximityprize's Delta Star proximity-gap programme. Use when an agent is asked to solve formal mathematics, implement Lean proofs, validate a research lane, improve executable checks, or prepare evidence for contribution-share review toward the external Proximity Prize.
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Implement, test, diagnose, or independently review mission-critical work in elizaOS/eliza, with optional public payout registration. Use when an agent is asked to improve the shipped Eliza app, Eliza Cloud, the core agent runtime, or a primary capability on an existing product path; prove one authorized outcome; publish a device-signed project token receipt; or register a public Solana payout address.
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A reusable prompt for asking an AI assistant to work as Conventional Commit Message Generator.
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Use for authored-source correspondence corpus maintenance: verify the vendored CIVIL/EVIL snapshot for drift against upstream, re-harvest or re-pin it, run the offline benchmark, and decide when to advance the pin.
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Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.
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Scaffold and build new tool integrations in tools/. Use when asked to create a new tool, add an API integration, or build a new client for an external service.
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A reusable prompt for asking an AI assistant to work as Customizable Web Template for Company Branding.
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Use for daily chores in dotnet-inspect; inspect main CI and staging health, scheduled certification, performance, runtime-pin, security, and dependency runs, then classify and prioritize any action.
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Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
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Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
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Diagnose problems in the running pi-agent-dashboard system. Tail /.pi/dashboard/server.log, probe /api/health for mode + uptime, check bridge WebSocket connectivity, triage vitest failures via tee→grep, inspect known-issue FAQ entries (Electron Node bin selection, Fastify + bad-Node crashes, stale-port hangs, single-instance lock). Routes UI/visual issues to the browser skill. Use when the server seems hung, a pi session won't connect, tests fail mysteriously, the dashboard shows a blank page, restart loops, port conflicts, or any "why isn't X working" / "the dashboard is doing Y" question.
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Use early when debugging a medium or hard bug, especially when tests alone may not reveal the real runtime failure. Trigger this before extended TDD iteration when a bug involves runtime state, ordering, persistence, streaming, concurrency, UI/manual reproduction, external services, or when a red or newly passing test may not model the real issue. Skip only when the root cause is already directly proven by a stack trace or deterministic test that exercises the real runtime path.
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Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.
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Use for opt-in Deep Inspect run triage: test lane failures, census artifacts, pinned-subset drift, and routing findings into issues or tracker updates.
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Use when a DeerFlow maintainer needs comment-only GitHub issue or PR handling: resolve issue/PR scopes with gh, analyze issues, post or draft issue comments, perform PR review comments, review PR or issue batches, compare competing PRs that target the same issue, give fix strategy, risk classification, and validation guidance. Intended for maintainers and trusted local agents, not general contributors.
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Manage major dependency version upgrades with compatibility analysis, staged rollout, and comprehensive testing. Use when upgrading framework versions, updating major dependencies, or managing breaking changes in libraries.
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Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use this skill when designing zero-downtime deployment pipelines, implementing canary rollout strategies, setting up multi-environment promotion workflows, or debugging failed deployment gates in CI/CD.
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Builds and evolves enterprise-quality CSS Design Systems based on Chameleon web components. Use when the user wants to create, scaffold, or evolve a DS, add components/tokens/themes. Triggers on: 'design system', 'DS', 'design tokens', 'theme system', 'build a DS', 'scaffold DS', 'create design system'.
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Build scalable design systems with design tokens, theming infrastructure, and component architecture patterns. Use when creating design tokens, implementing theme switching, building component libraries, or establishing design system foundations.
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A reusable prompt for asking an AI assistant to work as Developer Daily Report Generator.
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A reusable prompt for asking an AI assistant to work as Developer Work Analysis from Git Diff and Commit Message.
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Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
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A reusable prompt for asking an AI assistant to work as Django Unit Test Generator for Viewsets.
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Guide for PCIe DMA threat modeling, FPGA-based memory access, and defensive implications in game security. Use this skill when researching pcileech, BAR and TLP behavior, page-table walking, IOMMU or VT-d, device impersonation, firmware mimicry, or DMA detection and mitigation in game security research.
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Interactive documentation quality review for Mastra docs. Use when auditing, reviewing, or critiquing Mastra documentation; checking docs against source code; validating code examples, API accuracy, or property completeness; checking whether docs follow the styleguide and deterministic linters; or evaluating whether a beginner or agent can follow a doc to complete a job. This skill keeps humans in the loop with askuser and submitplan, then always runs an agent-build eval after approved fixes.
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Systematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to "dogfood", "QA", "exploratory test", "find issues", "bug hunt", "test this app/site/platform", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.
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Master C#/.NET backend development patterns for building robust APIs, MCP servers, and enterprise applications. Covers async/await, dependency injection, Entity Framework Core, Dapper, configuration, caching, and testing with xUnit. Use when developing .NET backends, reviewing C# code, or designing API architectures.
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Runtime tool management with toolmanage and tools.toml format. Create, enable, disable, reload tools without restart. (/dynamic-tools, toolmanage, runtime tools)
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Master end-to-end testing with Playwright and Cypress to build reliable test suites that catch bugs, improve confidence, and enable fast deployment. Use when implementing E2E tests, debugging flaky tests, or establishing testing standards.
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Create and edit pi-flows flows and agents from the main session. Use when the user wants to create a new flow, add or change an agent, or edit an existing flow/agent. Covers agent frontmatter, flow YAML, step types, model references, the flowagents and flowwrite tools, write locations, and how to fix validation errors.
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Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
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Given a place name or cell64, return the top-K most similar places on Earth by cosine similarity over the 128-D Tessera foundation embedding. Use when the user asks for analogues, look-alikes, or counterparts ("find cities like Bangalore", "where else looks like the Sundarbans", "show me places with a similar urban canopy to Singapore"). Returns cell64s with scores, lat/lng, and cached place labels.
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A reusable prompt for asking an AI assistant to work as ERP to Feishu Data Integration Solution.
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Master error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.
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Build the evaluation harness that gates every fine-tuning run — golden sets, per-failure-mode graders, judge calibration, and base-model baselines. Use when starting a fine-tuning effort, when converting traces into an eval set, or when calibrating a judge against human labels.
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Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
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Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
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Decision guide and implementation patterns for Gram's two feature-gating systems: productfeatures (org-level, admin-configurable, entitlement-tied) vs PostHog feature flags (per-user/per-group rollout, engineering-controlled). Activate whenever the task involves gating a feature behind a flag, dogfooding a change, deciding which system to use, or adding a new product feature or PostHog flag.
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Maintain the NeMo AutoModel Fern docs site under docs/ (MDX content) + docs/fern/ (infra) — add, update, move, or remove pages; manage redirects, slugs, navigation, and version aliases; run validation and previews.
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Convert files between formats — PDF to Word, HEIC to JPG, MP4 to MP3, CSV to JSON, EPUB to MOBI, and 999 total routes across images, video, audio, documents, data, fonts, ebooks, and archives. Free via changethisfile.com, no API key or signup. Use when the user needs a file converted to a different format.
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Use when implementation is complete, all tests pass, and you need to decide how to integrate the work
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Automate web crawling and data extraction with Firecrawl -- scrape pages, crawl sites, extract structured data, batch scrape URLs, and map website structures through the Composio Firecrawl integration.
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Get Firecrawl credentials and SDK setup into a project. Use when an application needs FIRECRAWLAPIKEY, when an agent should add Firecrawl to .env, when the user wants to authenticate Firecrawl for app code, or when choosing the first SDK and docs for a new Firecrawl integration. This skill includes its own browser auth flow, so it does not depend on the website onboarding skill.
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A reusable prompt for asking an AI assistant to work as Flamenco inspired Turkish Pop song for Suno AI.
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A reusable prompt for asking an AI assistant to work as Floating City Island - Photoreal 4K Poster.
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Rules and best practices when working on the dashboard React frontend codebase (including the inlined Gram Elements code)
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Guide for game-engine internals, source trees, plugins, and engine-specific security research. Use this skill when researching Unreal, Unity, Source, Godot, custom engines, engine detectors, engine explorers, or engine protection patterns relevant to modding, reverse engineering, and anti-cheat.
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Guide for game-hacking technique taxonomy and threat modeling relevant to game security. Use this skill when researching memory access, code injection, overlays, input simulation, engine-specific attack surfaces, or how modern anti-cheat systems constrain user-mode, kernel-mode, hypervisor, and DMA-based cheat implementations.
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Create production-ready GitHub Actions workflows for automated testing, building, and deploying applications. Use when setting up CI/CD with GitHub Actions, automating development workflows, or creating reusable workflow templates.
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Implement GitOps workflows with ArgoCD and Flux for automated, declarative Kubernetes deployments with continuous reconciliation. Use when implementing GitOps practices, automating Kubernetes deployments, or setting up declarative infrastructure management.
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Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race conditions.
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Automate Google Maps tasks via Rube MCP (Composio): geocode addresses, search places, get directions, compute route matrices, reverse geocode, autocomplete, get place details. Always search tools first for current schemas.
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Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.
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Use scripts/connectors/gsc.py as the only executable surface for Google Search Console work. Keep this skill as an instruction layer: do not copy the connector into the skill, reimplement its API calls, or broaden its OAuth scope.
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Run the toolkit's security commands in order to surface secrets, MCP supply-chain issues, install drift, release provenance gaps, and untrusted-code risks before shipping. Use before opening a PR, after adding a dependency, or whenever the security posture needs a fresh check.
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A reusable prompt for asking an AI assistant to work as Hata Tespiti için Kod İnceleme Asistanı.
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Design, organize, and manage Helm charts for templating and packaging Kubernetes applications with reusable configurations. Use when creating Helm charts, packaging Kubernetes applications, or implementing templated deployments.
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A reusable prompt for asking an AI assistant to work as HTS Veri Analiz Portalı Geliştirme ve Hata Ayıklama.
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Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
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Runtime security for AI coding agents. Use when about to install a package, paste a secret, run a destructive command, set up a new workspace, or recover from a Prismor block.
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A reusable prompt for asking an AI assistant to work as Interactive Quiz Application for TV Shows and Movies.
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Configure Istio traffic management including routing, load balancing, circuit breakers, and canary deployments. Use when implementing service mesh traffic policies, progressive delivery, or resilience patterns.
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Implement comprehensive testing strategies using Jest, Vitest, and Testing Library for unit tests, integration tests, and end-to-end testing with mocking, fixtures, and test-driven development. Use when writing JavaScript/TypeScript tests, setting up test infrastructure, or implementing TDD/BDD workflows.
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Create production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resources, or implementing production-grade Kubernetes configurations.
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Implement Kubernetes security policies including NetworkPolicy, PodSecurityPolicy, and RBAC for production-grade security. Use when securing Kubernetes clusters, implementing network isolation, or enforcing pod security standards.
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A reusable prompt for asking an AI assistant to work as Knowledgeable Software Development Mentor.
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A reusable prompt for asking an AI assistant to work as Kognitiv aktivierende Aufgaben erstellen.
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Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
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A reusable prompt for asking an AI assistant to work as Large Language Models Security Specialist.
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Implement Linkerd service mesh patterns for lightweight, security-focused service mesh deployments. Use when setting up Linkerd, configuring traffic policies, or implementing zero-trust networking with minimal overhead.
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Code style and quality rules for NeMo AutoModel — ruff configuration, naming conventions, type hints, docstrings, copyright headers, and the code review checklist.
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A reusable prompt for asking an AI assistant to work as Linux Monitoring Dashboard with React.
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Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
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Configure LoRA and QLoRA supervised fine-tuning with current best-practice hyperparameters. Use when writing or reviewing a LoRA/QLoRA training configuration, choosing rank/alpha/target modules, or deciding between LoRA, QLoRA, and full fine-tuning.
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A reusable prompt for asking an AI assistant to work as Manufacturing Workflow Optimization with OR-Tools.
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Design and implement Model Context Protocol servers so an agent can call external tools with typed schemas instead of stuffing API docs into a skill.
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Use when measuring a Sentry performance span locally with an agent-device replay flow on iOS simulator or Android emulator.
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Audits all memory systems in a Perseus environment, identifies stale or superseded stores (Mem0, Mempalace, old vector DBs, garbled federation artifacts), and deletes them. Keeps Perseus Mneme (the live system) as the single source of truth. Run periodically or when upgrading Perseus versions.
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Master memory forensics techniques including memory acquisition, process analysis, and artifact extraction using Volatility and related tools. Use when analyzing memory dumps, investigating incidents, or performing malware analysis from RAM captures.
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Implement memory-safe programming with RAII, ownership, smart pointers, and resource management across Rust, C++, and C. Use when writing safe systems code, managing resources, or preventing memory bugs.
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A reusable prompt for asking an AI assistant to work as Minimal Web-Compatible Food Order App Development.
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Master ES6+ features including async/await, destructuring, spread operators, arrow functions, promises, modules, iterators, generators, and functional programming patterns for writing clean, efficient JavaScript code. Use when refactoring legacy code, implementing modern patterns, or optimizing JavaScript applications.
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Generate an explore-prompt.md file that gives Momentic's explore agent (momentic ai explore diff / momentic ai explore latest) repo-specific context — which applications to test, the URLs tests must target, how to authenticate, where to save generated tests, and repo quirks. Use when setting up or improving the prompt file passed via --prompt-file.
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Momentic is an end-to-end testing framework where each test is composed of browser interaction steps. Each step combines Momentic-specific behavior (AI checks, natural-language locators, ai actions, etc.) with Playwright capabilities wrapped in our YAML step schema. When these tests are run, they produce results data that can be used to analyze the outcome of the test. The results data contains metadata about the run as well as any assets generated by the run (e.g. screenshots, logs, network requests, video recordings, etc.). Your job is to use these test results to classify failures that occurred in Momentic test runs.
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Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.
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Discovery for an autonomous loop — find this turn's work instead of being handed it. Reads what changed since the last run (failed CI, new issues, merged commits), judges what's actually worth acting on, writes findings to a durable state file, and hands each off to the SDLC loop with a stop-condition. Use as the first move of a scheduled loop, or by hand to plan a session. Read-only on code; never edits, opens PRs, or merges.
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Configure mutual TLS (mTLS) for zero-trust service-to-service communication. Use when implementing zero-trust networking, certificate management, or securing internal service communication.
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Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, GCP, and OCI. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.
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Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.
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A reusable prompt for asking an AI assistant to work as Next.js Specialized Front-End Developer.
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A reusable prompt for asking an AI assistant to work as Nietzschean Mentor for Holistic Growth.
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Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices. Use when creating Node.js servers, REST APIs, GraphQL backends, or microservices architectures.
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Configure and optimize Nx monorepo workspaces. Use when setting up Nx, configuring project boundaries, optimizing build caching, or implementing affected commands.
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Master on-call shift handoffs with context transfer, escalation procedures, and documentation. Use this skill when transitioning on-call responsibilities between engineers and ensuring the incoming responder has full situational awareness, when writing a shift summary that captures active incidents, ongoing investigations, and recent changes, when handing off mid-incident so a fresh engineer can take over the incident commander role without losing context, when onboarding a new engineer to the on-call rotation for the first time, or when auditing and improving the quality of existing handoff processes across teams.
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A reusable prompt for asking an AI assistant to work as One-Click Design Mockup Creator.
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Generate and maintain OpenAPI 3.1 specifications from code, design-first specs, and validation patterns. Use when creating API documentation, generating SDKs, or ensuring API contract compliance.
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Use when working in, operating, extending, integrating, documenting, or debugging OpenGeni: the session-based agent service with an API, durable event log, Temporal worker, sandboxed OpenAI Agents SDK runtime, file/object storage, MCP tools, scheduled tasks, and self-hosted local stack. Trigger this skill for questions about OpenGeni architecture, client-side API integration, sessions/events, worker orchestration, sandbox backends, file uploads, tools/MCP, scheduling, storage, GitHub integration, configuration, deployment, or how to keep agents using OpenGeni correctly as the repo evolves.
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A reusable prompt for asking an AI assistant to work as Optimize Large Data Reading in Code.
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Debug complex issues using competing hypotheses with parallel investigation, evidence collection, and root cause arbitration. Use this skill when debugging bugs with multiple potential causes, performing root cause analysis, or organizing parallel investigation workflows.
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Coordinate parallel feature development with file ownership strategies, conflict avoidance rules, and integration patterns for multi-agent implementation. Use this skill when decomposing a large feature into independent work streams, when two or more agents need to implement different layers of the same system simultaneously, when establishing file ownership to prevent merge conflicts in a shared codebase, when designing interface contracts so parallel implementers can build against each other's APIs before they are ready, or when deciding whether to use vertical slices versus horizontal layers for a full-stack feature.
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Integrate PayPal payment processing with support for express checkout, subscriptions, and refund management. Use when implementing PayPal payments, processing online transactions, or building e-commerce checkout flows.
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Implement PCI DSS compliance requirements for secure handling of payment card data and payment systems. Use when securing payment processing, achieving PCI compliance, or implementing payment card security measures.
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Use when you need live project state (git branch, service health checks, recent sessions, task board, env vars, agent inbox) injected into context BEFORE the AI reads it. Perseus is a compile-before-context engine — it runs directives like @query, @services, @waypoint, @agora and hands the assistant a fully-resolved markdown briefing. Use for: deterministic session starts, multi-agent coordination, workspace audits, and anywhere you want "all the facts first."
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Write effective blameless postmortems with root cause analysis, timelines, and action items. Use when conducting incident reviews, writing postmortem documents, or improving incident response processes.
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Align a fine-tuned model with preference data using DPO, ORPO, KTO, or SimPO. Use when preference pairs or thumbs-up/down feedback exist, when choosing between preference-optimization methods, or when a DPO run needs hyperparameters or debugging.
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A reusable prompt for asking an AI assistant to work as Project Evaluation for Production Decision.
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Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.
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This skill should be used when the user asks to "optimize a prompt", "improve prompt performance", "design a prompt template", "write better prompts", "debug prompt issues", "use chain-of-thought", "structured prompting", "few-shot prompting", or wants to apply advanced prompt engineering patterns for production LLM applications.
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Configure Cedar policy enforcement and Ed25519 signed receipts for Claude Code tool calls. Use when setting up projects that need cryptographic audit trails, policy-gated tool execution, or compliance-ready evidence of agent actions.
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A reusable prompt for asking an AI assistant to work as Pull Request Review Assistant.
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Use this skill when reviewing Python code for common anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing implementations, or when debugging issues that might stem from known bad practices.
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Python background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, job queues, long-running operations, or decoupling work from request/response cycles.
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Python code style, linting, formatting, naming conventions, and documentation standards. Use when writing new code, reviewing style, configuring linters, writing docstrings, or establishing project standards.
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Python configuration management via environment variables and typed settings. Use when externalizing config, setting up pydantic-settings, managing secrets, or implementing environment-specific behavior.
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Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use this skill when designing a new service or component from scratch and choosing how to layer responsibilities, when refactoring a God class or monolithic function that has grown too large, when deciding whether to add a new abstraction or live with duplication, when evaluating a pull request for structural issues like tight coupling or leaking internal types, when choosing between inheritance and composition for a new class hierarchy, or when a codebase is becoming hard to test because of entangled I/O and business logic.
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Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.
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Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems.
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Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.
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Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
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Python project organization, module architecture, and public API design. Use when setting up new projects, organizing modules, defining public interfaces with all, or planning directory layouts.
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Python resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators. Use when adding retry logic, implementing timeouts, building fault-tolerant services, or handling transient failures.
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Python resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file handles, implementing cleanup logic, or building streaming responses with accumulated state.
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Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
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Python type safety with type hints, generics, protocols, and strict type checking. Use when adding type annotations, implementing generic classes, defining structural interfaces, or configuring mypy/pyright.
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Export a promoted fine-tuned model in the right deployment format — merged safetensors, LoRA-only, GGUF with imatrix, or FP8. Use after a checkpoint passes promotion, when choosing a quantization format for a target device, or when an exported model fails its smoke test.
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Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
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Upgrade React applications to latest versions, migrate from class components to hooks, and adopt concurrent features. Use when modernizing React codebases, migrating to React Hooks, or upgrading to latest React versions.
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Build production React Native apps with Expo, navigation, native modules, offline sync, and cross-platform patterns. Use when developing mobile apps, implementing native integrations, or architecting React Native projects.
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Master modern React state management with Redux Toolkit, Zustand, Jotai, and React Query. Use when setting up global state, managing server state, or choosing between state management solutions.
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A reusable prompt for asking an AI assistant to work as Real-Time Multiplayer Defense Game.
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Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
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Transform monolithic Terraform configurations into reusable, maintainable modules following HashiCorp's module design principles and community best practices.
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Cut a Lotti release — assemble the changelog.d/ fragments into CHANGELOG.md and the Flathub metainfo, bump the version, open the release PR, then tag. Use when asked to cut or prepare a release, assemble the changelog, publish a new version, or work out what is unreleased.
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Use when completing tasks, implementing major features, or before merging to verify work meets requirements
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Configure human-in-the-loop gating for AI agent review actions in Claude Code. Use when setting up a project where an agent may post PR reviews, comments, merges, or edit CI configuration, and you want a cryptographically auditable approval trail with Cedar-enforced gates.
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Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems.
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Master Rust async programming with Tokio, async traits, error handling, and concurrent patterns. Use when building async Rust applications, implementing concurrent systems, or debugging async code.
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Implement saga patterns for distributed transactions and cross-aggregate workflows. Use this skill when implementing distributed transactions across microservices where 2PC is unavailable, designing compensating actions for failed order workflows that span inventory, payment, and shipping services, building event-driven saga coordinators for travel booking systems that must roll back hotel, flight, and car rental reservations atomically, or debugging stuck saga states in production where compensation steps never complete.
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Configure Static Application Security Testing (SAST) tools for automated vulnerability detection in application code. Use when setting up security scanning, implementing DevSecOps practices, or automating code vulnerability detection.
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Scans the codebase to generate project-doc.md and AGENTS.md. Use when bootstrapping a new agent-driven repo, refreshing project documentation after architectural changes, or running a delta scan to detect drift. Runs a full scan on first use and a smart delta scan on subsequent runs. Uses understand-anything + context-mode when available, falls back to native tools otherwise. Only updates AGENTS.md on detected architectural changes with human confirmation.
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Test web applications with screen readers including VoiceOver, NVDA, and JAWS. Use when validating screen reader compatibility, debugging accessibility issues, or ensuring assistive technology support.
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Consulta a base LOCAL de reuniões do ScribaDev (índice SQLite+FTS5 com resumos, transcrições, participantes, clientes e pendências). Use sempre que o usuário perguntar sobre reuniões ou calls gravadas, mesmo sem citar o Scriba: "qual foi a última reunião do cliente X", "o que foi discutido/decidido sobre Y", "quem participou da call de sexta", "quais pendências ficaram da reunião", "em que reunião falamos de Z", "me resume a reunião de ontem".
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Implement secure secrets management for CI/CD pipelines using Vault, AWS Secrets Manager, or native platform solutions. Use when handling sensitive credentials, rotating secrets, or securing CI/CD environments.
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How to monitor and fix security issues in Massing — CodeQL alerts, dependency audits, secret scanning, and ReDoS/XXE fixes. Invoke after a push (standing directive) or when doing a hardening pass. Emphasises that a green CodeQL run != zero alerts.
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Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.
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A reusable prompt for asking an AI assistant to work as Setting Up a New iOS App in Xcode.
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The Massing release discipline — how to ship a verified, CI-green version-numbered release direct to main. Invoke whenever finishing a shippable change (feature, fix, doc). Covers version bump (both files), CHANGELOG/roadmap notes, the ruff/lint CI gotchas, tag, push, and CI/CodeQL verification.
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Step-by-step cookbook for setting up cryptographically signed audit trails on Claude Code tool calls. Use when explaining, evaluating, or demonstrating the pattern before committing to the protect-mcp runtime hooks. Covers Cedar policy, Ed25519 receipts, offline verification, tamper detection, CI/CD integration, and SLSA composition.
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Evolutionary optimize-by-metric loop — mutate a target, evaluate against fixed criteria, KEEP if the score improves (commit) or REVERT if it doesn't (git checkout), repeat, plateau-break after N stagnated runs. Adapts Karpathy's autoresearch pattern (and the ECC autoresearch-agent) with mandatory yool guardrails (§11 caps), git-isolated branch discipline, an anti-Goodhart eval order (correctness gate FIRST, score SECOND, labeled tokenizer), a local-first mutation ladder, and a simplicio.savings-event/v1 receipt per run. Use when the user says "optimize this by <metric>", "autoresearch loop", "evolutionary optimize", "mutate/eval/keep-revert", or asks to shrink tokens/latency/bundle size/improve pass-rate against a fixed, measurable eval. Worker: scripts/autoresearch.py.
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Unified public entrypoint for Simplicio's body-of-work orchestration: core + loop in one command. Use when the user types /simplicio-loop, says \"ralph loop\", \"keep iterating until done\", \"finish all open issues\", or asks to drain a queue of work autonomously. Runtime-agnostic: binds a real stop-hook where the host supports hooks (Claude, Cursor); otherwise self-paces via the host scheduler. The older /simplicio-tasks surface is a legacy alias; never escape the loop with a false promise.
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Scaffold a new AI agent skill from a plain-language job description: folder, SKILL.md frontmatter, trigger description, and a first draft of the instructions.
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Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting. Use when establishing reliability targets, implementing SRE practices, or measuring service performance.
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A reusable prompt for asking an AI assistant to work as Software Quality Assurance Tester.
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Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, hitting libcudart or wheel-ABI errors on aarch64, or choosing between NGC containers and bare pip installs.
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Preflight and diagnose the ten known failure modes for ML training on NVIDIA DGX Spark. Use when a training run on DGX Spark fails to start, OOMs below the 128GB limit, slows down mid-run, or before any multi-hour training job on GB10.
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A reusable prompt for asking an AI assistant to work as Squid Game - Red Light, Green Light Challenge.
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Implement Stripe payment processing for robust, PCI-compliant payment flows including checkout, subscriptions, and webhooks. Use when integrating Stripe payments, building subscription systems, or implementing secure checkout flows.
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Use when executing implementation plans with independent tasks in the current session
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A root-cause debugging loop for coding agents: reproduce, isolate, hypothesize, then change one thing — instead of shotgun patches.
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Decompose complex tasks, design dependency graphs, and coordinate multi-agent work with proper task descriptions and workload balancing. Use this skill when breaking down work for agent teams, managing task dependencies, or monitoring team progress.
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Structured messaging protocols for agent team communication including message type selection, plan approval, shutdown procedures, and anti-patterns to avoid. Use this skill when establishing communication norms for a newly spawned team, when deciding whether to send a direct message or a broadcast, when a team-lead needs to review and approve an implementer's plan before work begins, when orchestrating a graceful team shutdown after all tasks are complete, or when debugging why teammates are not coordinating correctly at integration points.
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Design optimal agent team compositions with sizing heuristics, preset configurations, and agent type selection. Use this skill when deciding how many agents to spawn for a task, when choosing between a review team versus a feature team versus a debug team, when selecting the correct subagenttype for each role to ensure agents have the tools they need, when configuring display modes (tmux, iTerm2, in-process) for a CI or local environment, or when building a custom team composition for a non-standard workflow such as a migration or security audit.
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Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.
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Build reusable Terraform modules for AWS, Azure, GCP, and OCI infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.
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Force a coding agent to write a failing test first, then the minimum implementation, then refactor — so it cannot claim done without a red-green loop.
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A reusable prompt for asking an AI assistant to work as Test Python Algorithmic Trading Project.
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How to write integration tests for error processors in packages/core/src/processors/.
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Map identified threats to appropriate security controls and mitigations. Use when prioritizing security investments, creating remediation plans, or validating control effectiveness.
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Convert evaluation traces and production logs into SFT examples and preference pairs. Use when graded traces or failure examples exist and need to become training data, when applying rejection sampling to model outputs, or when building DPO pairs from passing and failing runs.
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Run bounded, spec-first implementation cycles for Treeship's workflow and graph proof layer. Use when continuing workflow declarations, checkpoint composition, run binding, evidence-derived paths, bounded loops, or conformance verification.
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Use when another agent hands Claude work — a handoff, an A2A task, an envelope, a message saying "take this from agent://…" — or when someone asks Claude to prove who it is. Refuses foreign work until the sender proves live key control, and records the verify in the handoff.
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Configure Turborepo for efficient monorepo builds with local and remote caching. Use when setting up Turborepo, optimizing build pipelines, or implementing distributed caching.
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Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications. Use when implementing complex type logic, creating reusable type utilities, or ensuring compile-time type safety in TypeScript projects.
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A reusable prompt for asking an AI assistant to work as Ultra-Detailed Vintage Photo Restoration and Colorization.
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Master Unity ECS (Entity Component System) with DOTS, Jobs, and Burst for high-performance game development. Use when building data-oriented games, optimizing performance, or working with large entity counts.
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Run parallel agent sessions in git worktrees so long jobs do not block the main checkout and diffs stay reviewable.
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A reusable prompt for asking an AI assistant to work as Vacuum Arc Modeling under Transverse Magnetic Fields.
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Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
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How to verify Massing web/viewer UI changes given that the dev-preview geometry loader stalls. Invoke when you changed apps/web and need to prove it works. Covers typecheck/lint/vitest/build, the tools-panel force-build technique, and honest flagging of flows you couldn't exercise.
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A reusable prompt for asking an AI assistant to work as Visual Web Application Development.
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A reusable prompt for asking an AI assistant to work as Web Application Testing Skill.
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Master React, Vue, and Svelte component patterns including CSS-in-JS, composition strategies, and reusable component architecture. Use when building UI component libraries, designing component APIs, or implementing frontend design systems.
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Test smart contracts comprehensively using Hardhat and Foundry with unit tests, integration tests, and mainnet forking. Use when testing Solidity contracts, setting up blockchain test suites, or validating DeFi protocols.
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Drive a real browser against a local or deployed web app: click, type, assert visible state — not just unit tests of components.
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A reusable prompt for asking an AI assistant to work as When to clear the snow (generic).
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Use this skill when implementing tasks according to Conductor's TDD workflow, handling phase checkpoints, managing git commits for tasks, or understanding the verification protocol.
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Use when you have a spec or requirements for a multi-step task, before touching code
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Edit, tighten, and verify SKILL.md files so they trigger reliably and stay short enough for progressive disclosure.
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A reusable prompt for asking an AI assistant to work as Xiaomi Company Self-Service Management System Frontend Development.