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Label taxonomy and triage workflow for GitHub issues. Defines type labels (bug/feature/enhancement/docs/chore), priority levels (critical/high/medium/low), status labels, and triage decision workflow. Use when categorizing and prioritizing issues.

Expert skill for writing production-grade Python tests using pytest with modern fixtures, parametrization, and coverage integration.

Test development with pytest, fixtures, and mocking. Use for writing tests, test patterns, coverage, parametrization, and debugging test failures.

This skill should be used when users request research on any topic that requires web search, source analysis, and structured documentation saved to a file. It provides a systematic workflow for gathering information from multiple web sources, synthesizing findings into a comprehensive document, and saving results to a user-specified file path. This is a general-purpose research skill that works across all domains and languages.

Write and maintain Architecture Decision Records (ADRs) when meaningful technical or architecture decisions are made. Use when introducing dependencies, changing APIs, adopting patterns, or making hard-to-reverse decisions.

Knowledge retrieval from multiple sources. Search docs, web, and code with intelligent routing.

Comprehensive Python testing best practices, pytest conventions, test structure patterns (AAA, Given-When-Then), fixture usage, mocking strategies, code coverage standards, and common anti-patterns. Essential reference for code reviews, test writing, and ensuring high-quality Python test suites with pytest, unittest.mock, and pytest-cov.

Expert in Pattern Stack framework architecture. Auto-activates when writing backend code using Pattern Stack's Atomic Architecture, Field abstraction, and pattern composition system.

Performs web searches using Gemini CLI headless mode with google_web_search tool. Includes intelligent caching, result validation, and analytics. Use when searching for current information, documentation, or when the user explicitly requests web search.

Use when writing Python code with the Affinity SDK, or when user asks about "affinity-sdk", "affinity package", typed IDs, async Affinity client, pagination, or Python scripts for Affinity CRM.

Use when encountering unfamiliar import statements, exploring dependency APIs, or when user asks "what's import X" or "what does X do". Generates on-demand API documentation for Swift package dependencies.

Calculate and interpret effect sizes for statistical analyses. Use when: (1) Reporting research results to show practical significance, (2) Meta-analysis to combine study results, (3) Grant writing to justify expected effects, (4) Interpreting published studies beyond p-values, (5) Sample size planning for power analysis.

Expert in PDF content extraction and analysis. **Use whenever the user mentions PDFs, .pdf files, or requests to extract, read, parse, analyze, convert, or process PDF documents.** Handles text extraction, image extraction, converting PDFs to markdown or other formats, batch PDF processing, and analyzing PDF document structure for AI processing. Uses a fast Go binary with Vertex AI Gemini for intelligent image analysis. Supports two methods - preferred binary-based extraction (default) and alternative image-based extraction (when explicitly requested). (project, gitignored)

Guide for using pytest-mock plugin to write tests with mocking. Use when writing pytest tests that need mocking, patching, spying, or stubbing. Covers mocker fixture usage, patch methods, spy/stub patterns, and assertion helpers.

DeFi protocol expert ensuring correct data formats, types, denominations, and API structures. MUST be consulted before writing ANY protocol integration code. Triggers on ANY mention of Aave, Compound, Uniswap, Curve, Balancer, or DeFi terms like liquidation, swap, flash loan, health factor.

Transform raw brain dumps into structured implementation artifacts. Use when user has messy ideas, scattered thoughts, or dictated stream-of-consciousness about something they want to build. Produces contracts, phased PRDs, and implementation specs written to ./docs/ideation/{project-name}/.

Use this when working on the Workbench UI, Workbench state/store, export/compile pipeline, or adapter/target behavior (agents-md, claude-code, github-copilot, etc.).

Write minimal, focused tests that cover core user flows and primary workflows without over-testing during development. Use this skill when deciding what to test, writing behavior-focused tests, naming test cases clearly, mocking external dependencies, or keeping tests fast. Apply when completing feature implementation and adding strategic tests, testing critical paths rather than edge cases, or deferring edge case testing to dedicated testing phases.

This skill orchestrates comprehensive documentation intelligence operations. Use when asked to "analyze documentation", "learn from docs", "create SOPs from documentation", "maximize documentation understanding", or any request involving systematic multi-agent documentation analysis with parallelization.

Generate comprehensive WIKI.md documentation for any codebase using LSP for precise code analysis. Use when user asks to document a codebase, generate technical documentation, create architecture diagrams, or analyze code structure and dependencies. Supports TypeScript, JavaScript, Python, Go, Rust, Java, and C/C++ projects.