Claude Skills
The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 354 files from 1 739 authors, of which 61 713 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
| Detects non-functional "theater" code that appears complete but doesn't actually work. Use this skill to identify code that looks correct in static analysis but fails during execution, preventing fake implementations from reaching production. Scans for suspicious patterns, validates actual functionality, and reports findings with recommendations.
Specialized ML model development, training, and deployment workflow
Automated comprehensive code documentation generation with API docs, README files, inline comments, and architecture diagrams
Use Claude Code's AskUserQuestion tool to gather comprehensive requirements through structured multi-select questions.
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning. Coordinates planner, issue-tracker, and project-board-sync agents to automate issue triage, sprint planning, milestone tracking, and project board updates. Integrates with GitHub Projects v2 API for advanced automation, custom fields, and workflow orchestration. Use when managing development projects, coordinating team workflows, or automating project management tasks.
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration. Coordinates repo-architect, code-analyzer, and coordinator agents across multiple repositories to maintain consistency, propagate changes, manage dependencies, and ensure architectural alignment. Handles monorepo-to-multi-repo migrations, cross-repo refactoring, and synchronized releases. Use when managing microservices, multi-package ecosystems, or coordinating changes across related repositories.
Proactive token budget management tool for assessing usage, analyzing task complexity, generating chunking strategies, and creating execution plans that stay within budget limits
Comprehensive dependency mapping, analysis, and visualization tool for software projects
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement
Comprehensive framework for analyzing, creating, and refining prompts for AI systems using evidence-based techniques
Active diagnostic tool for analyzing prompt quality, detecting anti-patterns, identifying token waste, and providing optimization recommendations
Complex multi-agent swarm orchestration with task decomposition, distributed execution, and result synthesis
Comprehensive performance profiling, bottleneck detection, and optimization system
| Use when launching a new product end-to-end from market research through post-launch monitoring. Orchestrates 15+ specialist agents across 5 phases in a 10-week coordinated workflow including research, development, marketing, sales preparation, launch execution, and ongoing optimization. Employs hierarchical coordination with parallel execution for efficiency and comprehensive coverage.
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management. Coordinates release-manager, cicd-engineer, tester, and docs-writer agents through hierarchical topology to handle semantic versioning, changelog generation, release notes, deployment validation, and post-release monitoring. Supports multiple release strategies (rolling, blue-green, canary) and automated rollback. Use when creating releases, managing deployments, or coordinating version updates.
Comprehensive PR review with multi-agent swarm specialization for security, performance, style, tests, and documentation
Comprehensive GitHub pull request code review using multi-agent swarm with specialized reviewers for security, performance, style, tests, and documentation. Coordinates security-auditor, perf-analyzer, code-analyzer, tester, and reviewer agents through mesh topology for parallel analysis. Provides detailed feedback with auto-fix suggestions and merge readiness assessment. Use when reviewing PRs, conducting code audits, or ensuring code quality standards before merge.
| Use when conducting comprehensive code review for pull requests across multiple quality dimensions. Orchestrates 12-15 specialized reviewer agents across 4 phases using star topology coordination. Covers automated checks, parallel specialized reviews (quality, security, performance, architecture, documentation), integration analysis, and final merge recommendation in a 4-hour workflow.
Configure Claude Code sandbox network isolation with trusted domains, custom access policies, and environment variables for secure network communication.
This SOP provides a systematic workflow for training and deploying neural networks using Flow Nexus platform with distributed E2B sandboxes. It covers architecture selection, distributed training, ...
Advanced swarm patterns with dynamic topology switching and self-organizing behaviors for complex multi-agent coordination
Comprehensive Flow Nexus platform management covering authentication, sandboxes, storage, databases, app deployment, payments, and monitoring. This SOP provides end-to-end platform operations.
| Validates that code actually works through sandbox testing, execution verification, and systematic debugging. Use this skill after code generation or modification to ensure functionality is genuine rather than assumed. The skill creates isolated test environments, executes code with realistic inputs, identifies bugs through systematic analysis, and applies best practices to fix issues without breaking existing functionality.
Comprehensive quality verification and validation through static analysis, dynamic testing, integration validation, and certification gates
Comprehensive backend development guide for Supabase Edge Functions + PostgreSQL. Use when working with Supabase (database, auth, storage, realtime), Edge Functions, PostgreSQL, Row-Level Security (RLS), Resend email, Stripe payments, or TypeScript backend patterns. Covers database design, auth flows, Edge Function patterns, RLS policies, email integration, payment processing, and deployment to Supabase.
Waypoint plans methodology and session survival patterns for Claude Code. Use when working on long-running features, need to resume after context reset, want to document task progress, or need to survive session interruptions. Covers three-file structure (plan/context/tasks), SESSION PROGRESS tracking, quick resume instructions, update frequency, and context handoff patterns.
Frontend development guidelines for Next.js + React 19 + shadcn/ui applications. Modern patterns including App Router, Server Components, Client Components, Server Actions, shadcn/ui with Tailwind CSS, React Hook Form, lazy loading, Suspense boundaries, Supabase client integration, performance optimization, and TypeScript best practices. Use when creating pages, components, forms, styling, data fetching, or working with Next.js/React code.
Context tracking and decision logging patterns for intentional memory management in Claude Code Waypoint Plugin. Use when you need to remember user preferences, track decisions, capture context across sessions, learn from corrections, or maintain project-specific knowledge. Covers when to persist context, how to track decisions, context boundaries, storage mechanisms, and memory refresh strategies.
Plan-approval workflow patterns for user control over AI actions in Claude Code Waypoint Plugin. Use when planning complex changes, need user approval before execution, want to prevent mistakes, or need to document proposed changes. Covers plan creation, approval checkpoints, plan deviation tracking, revision management, and learning from approved/rejected plans.
Create and manage Claude Code skills with auto-activation, progressive disclosure, and memory patterns. Use when creating skills, modifying skill-rules.json, understanding triggers (keywords, intent, file, content), working with hooks (UserPromptSubmit, PreToolUse, Stop), debugging activation, implementing guardrails, or building memory-aware skills that persist context across sessions. Covers 500-line rule, session tracking, enforcement levels (block, suggest, warn), plan-approval workflows, and best practices.
Guides agents through launching, playing, sculpting, and capturing performances with the Orthonotone polychoral instrument MVP. Use when generating music, soundscapes, or live demos from this repository.
Clean code principles adapted for TypeScript-first, functional development.
Techniques for analyzing existing codebases to reverse-engineer requirements and understand business logic. Use when conducting brownfield analysis or understanding existing system capabilities.
Command Query Separation (CQS) and CQRS patterns for .NET. Use when designing methods, handlers, and application architecture. Ensures predictable, testable code.
Functional programming patterns that promote testability, composability, and maintainability.
Requirements gathering and elicitation techniques for business analysis. Use when conducting stakeholder interviews, gathering functional/non-functional requirements, or identifying gaps in requirements.
SOLID principles adapted for functional and TypeScript-first development.
Software Requirements Specification documentation following IEEE 830 standard. Use when generating formal SRS documents or compiling gathered requirements into structured documentation.
Test-Driven Development methodology for Node.js/TypeScript projects.
Technical analysis capabilities for APIs, data models, integrations, and security requirements. Use when analyzing technical aspects of systems or documenting technical requirements.
Search arXiv preprint repository for papers in physics, mathematics, computer science, quantitative biology, and related fields.
Use this skill for requests related to Pydantic AI framework - building agents, tools, dependencies, structured outputs, and model integrations.
Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research.
Document technical debt, anti-patterns, and patterns to avoid from analyzed frameworks. Use when (1) creating a "Do Not Repeat" list from framework analysis, (2) categorizing observed code smells and issues, (3) assessing severity of architectural problems, (4) generating remediation suggestions, or (5) synthesizing lessons learned across multiple frameworks.
Master protocol for deconstructing agent frameworks to inform derivative system architecture. Use when (1) analyzing an agent framework's codebase comprehensively, (2) comparing multiple frameworks to select best practices, (3) designing a new agent system based on prior art, (4) documenting architectural decisions with evidence, or (5) conducting technical due diligence on AI agent implementations. This skill orchestrates sub-skills for data substrate, execution engine, cognitive architecture, and synthesis phases.
Generate a reference architecture specification from analyzed frameworks. Use when (1) designing a new agent framework based on prior art, (2) defining core primitives (Message, State, Tool types), (3) specifying interface protocols, (4) creating execution loop pseudocode, or (5) producing architecture diagrams and implementation roadmaps.
Repository structure and dependency analysis for understanding a codebase's architecture. Use when needing to (1) generate a file tree or structure map, (2) analyze import/dependency graphs, (3) identify entry points and module boundaries, (4) understand the overall layout of an unfamiliar codebase, or (5) prepare for deeper architectural analysis.
Generate structured comparisons and decision matrices across analyzed frameworks. Use when (1) comparing multiple frameworks or approaches side-by-side, (2) making architectural decisions between alternatives, (3) creating best-of-breed selection documentation, (4) synthesizing findings from multiple analysis skills into actionable decisions, or (5) producing recommendation reports for technical stakeholders.
Evaluate extensibility patterns, abstraction layers, and configuration approaches in frameworks. Use when (1) assessing base class/protocol design, (2) understanding dependency injection patterns, (3) evaluating plugin/extension systems, (4) comparing code-first vs config-first approaches, or (5) determining framework flexibility for customization.
Extract and analyze agent reasoning loops, step functions, and termination conditions. Use when needing to (1) understand how an agent framework implements reasoning (ReAct, Plan-and-Solve, Reflection, etc.), (2) locate the core decision-making logic, (3) analyze loop mechanics and termination conditions, (4) document the step-by-step execution flow of an agent, or (5) compare reasoning patterns across frameworks.
Analyze fundamental data primitives, type systems, and state management patterns in a codebase. Use when (1) evaluating typing strategies (Pydantic vs TypedDict vs loose dicts), (2) assessing immutability and mutation patterns, (3) understanding serialization approaches, (4) documenting state shape and lifecycle, or (5) comparing data modeling approaches across frameworks.
Analyze control flow, concurrency models, and event architectures in agent frameworks. Use when (1) understanding async vs sync execution patterns, (2) classifying execution topology (DAG/FSM/Linear), (3) mapping event emission and observability hooks, (4) evaluating scalability characteristics, or (5) comparing execution models across frameworks.
Analyze the protocol layer between agent harness and LLM model. Use when (1) understanding message wire formats and API contracts, (2) examining tool call encoding/decoding mechanisms, (3) evaluating streaming protocols and partial response handling, (4) identifying agentic chat primitives (system prompts, scratchpads, interrupts), (5) comparing multi-provider abstraction strategies, or (6) understanding how frameworks translate between native LLM APIs and internal representations.
Analyze context management, memory systems, and state continuity in agent frameworks. Use when (1) understanding how prompts are assembled, (2) evaluating eviction policies for context overflow, (3) mapping memory tiers (short-term/long-term), (4) analyzing token budget management, or (5) comparing context strategies across frameworks.
Analyze coordination patterns, handoff mechanisms, and state sharing in multi-agent systems. Use when (1) understanding how agents transfer control, (2) evaluating shared vs isolated state patterns, (3) mapping communication protocols between agents, (4) assessing multi-agent orchestration approaches, or (5) comparing coordination models across frameworks.
Assess error handling, isolation boundaries, and recovery mechanisms in agent frameworks. Use when (1) tracing error propagation paths, (2) evaluating sandboxing for code execution, (3) understanding retry and fallback mechanisms, (4) assessing production readiness, or (5) identifying failure modes and recovery patterns.
Analyze tool registration, schema generation, and error feedback mechanisms in agent frameworks. Use when (1) understanding how tools are defined and registered, (2) evaluating schema generation approaches (introspection vs manual), (3) tracing error feedback loops to the LLM, (4) assessing retry and self-correction mechanisms, or (5) comparing tool interfaces across frameworks.
Enforce WCAG 2.2 accessibility standards. Use when creating UI components, reviewing frontend code, or when accessibility issues are detected. Covers semantic HTML, ARIA, keyboard navigation, and color contrast.
Document architecture decisions with ADR (Architecture Decision Records). Use when making significant technical decisions, choosing between alternatives, or when onboarding needs context on past decisions.
Create generative art using p5.js with seeded randomness. Use this when creating procedural art, interactive visualizations, or algorithmic designs.
Claude Skills — questions
Answers built from the skills we actually parsed.