aka. Agent Skills
Discover skills for AI coding agents. Works with Claude Code, OpenAI Codex, Gemini CLI, Cursor, and more.
Coordinates Serena MCP knowledge graph operations for Shannon Framework. Enforces standardized entity naming (shannon/* namespace), relation creation patterns, search protocols, and observation management. Prevents orphaned entities, naming chaos, and broken context lineage. Use when: storing specs/waves/goals/checkpoints, querying Shannon history, managing knowledge graph structure, ensuring cross-wave context preservation.
Search and retrieve official Microsoft documentation, code samples, and technical information. Use PROACTIVELY when researching Azure AI Search, Copilot Studio, Azure Cognitive Services, Azure App Service, Microsoft 365, Power Platform, Power Automate, or Power Apps. Trigger on: "how do I implement", "what is the difference", "how does this feature work", "Azure", "Microsoft", "Copilot", "Power Platform", or when official docs links and code examples are needed. Always include source URLs from Microsoft Learn.
Defines the format for presenting implementation alternatives with trade-offs comparison table, pros/cons analysis, and clear recommendation.
Defines the format for presenting codebase exploration findings - existing patterns, dependencies, risks, and approach assessment (single vs multiple options).
Defines the standard output format for aggregated PR review reports. Use this skill to format the combined output from all review agents into a unified, actionable report.
Defines the standard output format and template for architectural review reports. Use this skill to ensure consistent, comprehensive review report formatting for development plans and implementation proposals.
Defines the standard output format and template for task creation. Use this skill when creating new tasks (stories, bugs, epics, subtasks) to ensure consistent, well-structured formatting with proper titles, goals, acceptance criteria, and technical details.
Autonomous development workflow. Generate detailed specs, plans, and tasks for autonomous agent execution with session memory tracking.
PocketFlow framework for building LLM applications with graph-based abstractions, design patterns, and agentic coding workflows
Stakeholder briefs for board, investors, or exec team: status, decisions, asks. Use when creating a brief for board, investors, or exec team.
Structured debugging methodology for investigating and resolving technical issues. Use this skill when debugging any technical problem, investigating errors, or troubleshooting unexpected behavior to ensure root cause analysis rather than symptom treatment.
Best practices for creating custom slash commands with frontmatter, arguments, bash execution, and file references. Use when creating slash commands.
Provides best practices and guidelines for creating Claude Code skills. Use when you need help with skill structure, naming conventions, writing effective descriptions, progressive disclosure patterns, and evaluation methods.
This skill should be used when the user asks to "analyze a specification", "break down a spec", "create tasks from a PRD", "decompose requirements", "generate a task list from a design document", or mentions working from specification documents. Provides comprehensive guidance for transforming specifications into structured, actionable task lists optimized for AI coding agents.
Use for Python development requiring async programming, type system expertise, testing patterns, or performance optimization.
Use when you want to validate changes before committing, or when you need to check all React contribution requirements.
Create GitHub pull requests with standardized title format and draft status. Use when the user requests to create a PR. This skill uses gh command to create PRs with specific title format '[base-branch] type: description' and generates concise bullet-point descriptions from git changes.
This skill should be used when working with marimo reactive notebooks for data science and analytics. Triggers include: - Creating new marimo notebooks - Converting Jupyter notebooks to marimo - Editing existing marimo notebooks - Implementing reactive patterns and UI components - Building interactive data visualizations with marimo
This skill should be used when the user asks to "understand context", "explain context windows", "design agent architecture", "debug context issues", "optimize context usage", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.
Creates isolated git worktree environments for parallel development. Fetches latest from default branch, creates worktree in .git-worktrees/, copies .env and .serena files. Branch '/' is converted to '-'. Use when starting new features or switching context.