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Found 2,731 Skills
Analyze main branch implementation and configuration to find missing, incorrect, or outdated documentation in docs/. Use when asked to audit doc coverage, sync docs with code, or propose doc updates/structure changes. Only update English docs (docs/src/content/docs/**) and never touch translated docs under docs/src/content/docs/ja, ko, or zh. Provide a report and ask for approval before editing docs.
Generate Jest unit tests for JavaScript/TypeScript with mocking, coverage. Use for JS/TS modules, React components, test generation, or encountering missing coverage, improper mocking, test structure errors.
Verifies implementation against specifications by checking requirement fulfillment, task completion, and contract implementation. Generates a fulfillment report with coverage metrics. Always run after /speckit.implement completes.
pytest testing patterns for Python. Triggers on: pytest, fixture, mark, parametrize, mock, conftest, test coverage, unit test, integration test, pytest.raises.
Use when the user wants to review a pull request, understand what a PR changes, assess risk of merging, or check for missing test coverage. Examples: "Review this PR", "What does PR #42 change?", "Is this PR safe to merge?"
Thread-safe data persistence in Swift using actors — in-memory cache with file-backed storage. Use when building local storage layers, offline-first patterns, or any shared mutable state that needs both concurrency safety and disk persistence.
Generates comprehensive, workable unit tests for any programming language using a multi-agent pipeline. Use when asked to generate tests, write unit tests, improve test coverage, add test coverage, create test files, or test a codebase. Supports C#, TypeScript, JavaScript, Python, Go, Rust, Java, and more. Orchestrates research, planning, and implementation phases to produce tests that compile, pass, and follow project conventions.
Run live eval sessions against the vercel-plugin to verify hook behavior, skill injection, dedup correctness, and coverage. Launches real Claude Code sessions via WezTerm, monitors debug logs, and produces a structured coverage report.
LLM prompt injection playbook. Use when testing AI/LLM applications for direct injection, indirect injection via RAG/browsing, tool abuse, data exfiltration, MCP security risks, and defense bypass techniques.
Points to Michał Zalewski’s (lcamtuf) canonical American Fuzzy Lop (AFL) documentation at lcamtuf.coredump.cx/afl—coverage-guided fuzzing concepts, afl-fuzz usage, and historical technical notes for C/C++ targets. Use when the user cites AFL classic, lcamtuf’s AFL page, or needs the original upstream reference—not as a substitute for current AFL++ docs or authorized fuzzing policy.
Use this skill when handling pointer, mouse, touch, or wheel input in PixiJS v8. Covers eventMode (none, passive, auto, static, dynamic), FederatedEvent types, propagation and capture phase, hitArea, interactiveChildren, cursor and cursorStyles, global move events for drag, eventFeatures config. Triggers on: eventMode, FederatedPointerEvent, pointerdown, click, tap, globalpointermove, drag, hitArea, cursor, stopPropagation.
Use when reviewing Swift code for modern idioms, working with noncopyable types, implementing drag and drop, adding debug deep links, or building for tvOS.