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Create docstrings for functions and classes. Use when documenting code APIs.

Use when analyzing failures, outages, incidents, or negative outcomes, conducting blameless postmortems, documenting root causes with 5 Whys or fishbone diagrams, identifying corrective actions with owners and timelines, learning from near-misses, establishing prevention strategies, or when user mentions postmortem, incident review, failure analysis, RCA, lessons learned, or after-action review.

Use when explaining concepts at different expertise levels, moving between abstract principles and concrete implementation, identifying edge cases by testing ideas against scenarios, designing layered documentation, decomposing complex problems into actionable steps, or bridging strategy-execution gaps. Invoke when user mentions abstraction levels, making concepts concrete, or explaining at different depths.

Comprehensive PR review that synthesizes security, performance, correctness, style, and documentation findings with actionable fixes.

Create weekly software meeting agenda in the wiki repo.

Documentation lifecycle skill for API, code, and system guides with continuous validation.

Sync architecture documentation with main branch changes. This skill should be used when the user wants to update docs/guide/architecture.md to reflect changes made on the main branch. It compares origin/docs/arch against local main, analyzes new commits, and updates the architecture document.

Idiomatic Python 3.14+ development. Use when writing Python code, CLI tools, scripts, or services. Emphasizes stdlib, type hints, uv/ruff toolchain, and minimal dependencies.

Use proactively when you need to implement features or fix bugs using strict Test-Driven Development (TDD) methodology. This agent should be activated for any coding task that requires writing new functionality, refactoring existing code, or ensuring comprehensive test coverage, but should not be used for any design-related tasks. The agent excels at breaking down complex requirements into testable increments and maintaining high code quality through disciplined TDD cycles. Use this agent proactively or if the user mentions 'TDD', 'tdd' or 'Test Driven Development'.

Context-driven development methodology for organized, spec-first coding. Use when: - Project has a `conductor/` directory - User mentions specs, plans, tracks, or context-driven development - Files like `conductor/tracks.md`, `conductor/product.md`, `conductor/workflow.md` exist - User asks about project status, implementation progress, or track management - User wants to organize development work with TDD practices - User invokes `/conductor-*` commands (setup, newtrack, implement, status, revert, validate, block, skip, revise, archive, export, refresh) - User mentions documentation is outdated or wants to sync context with codebase changes Interoperable with Gemini CLI extension and Claude Code commands. Integrates with Beads for persistent task memory across sessions.

Z.AI CLI providing: - Vision: image/video analysis, OCR, UI-to-code, error diagnosis (GLM-4.6V) - Search: real-time web search with domain/recency filtering - Reader: web page to markdown extraction - Repo: GitHub code search and reading via ZRead - Tools: MCP tool discovery and raw calls - Code: TypeScript tool chaining Use for visual content analysis, web search, page reading, or GitHub exploration. Requires Z_AI_API_KEY.

Plan and execute technical product launches for developer tools, APIs, and technical products. Use this skill when technical PMMs need to "plan a launch", "create a launch strategy", "coordinate a product release", or "prepare for GA/beta launch".

Use when writing or polishing professional scientific emails, journal cover letters, or responses to reviewers. Invoke when user mentions email to collaborator, cover letter to editor, reviewer response, professional correspondence, or needs help with professional tone, clear asks, or diplomatic communication in academic/scientific contexts.

N8N Documentation - Workflow automation platform with AI capabilities

Comprehensive cryptocurrency market research and analysis using specialized AI agents. Analyzes market data, price trends, news sentiment, technical indicators, macro correlations, and investment opportunities.

Linode API Documentation

Generate visual hierarchy diagrams of agent system showing levels and delegation. Use for documentation or onboarding.

Provides templates, standards, and best practices for writing clear, comprehensive technical documentation

自媒体写作交互式助手。帮助完成从选题到发布的完整流程。适用于：开始写新文章、检查草稿质量、诊断发布后数据不佳的原因。

Generate comprehensive plan documentation following Template 1 format. Use when creating plan.md files for new components or subsections.