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Found 1,864 Skills
Write detailed Conventional Commit messages using only the active chat conversation as context. Use when the user asks for commit messages based on discussion history, requests module-scoped commit subjects, or explicitly forbids checking git logs, diffs, or code files.
Use when working on multiple branches simultaneously, context switching without stashing, reviewing PRs while developing, testing in isolation, or comparing implementations across branches - provides git worktree commands and workflow patterns for parallel development with multiple working directories.
Search and restore AI conversation context from git history
Use after implementing features - 7-criteria code review with MANDATORY artifact posting to GitHub issue; blocks PR creation until complete
Create git commits using conventional commits with scopes. Use when the user asks to commit, make a commit, save changes, or any git commit operation. Never include Co-Authored-By lines, AI agent mentions, or any reference to Claude, AI, or automated tooling in commit messages.
Design and generate property-based tests (PBT) for changed files in the current git branch. Extracts specifications, designs properties (invariants, round-trip, idempotence, metamorphic, monotonicity, reference model), builds generator strategies, implements tests, and self-scores against a rubric (24/30+ required). Supports fast-check (TS/JS), hypothesis (Python), and proptest (Rust). Use when: (1) "write property tests for my changes", (2) "add PBT", (3) "property-based test", (4) after implementing pure functions, validators, parsers, or formatters to verify invariants.
Deep Python code review of changed files using git diff analysis. Focuses on production quality, security vulnerabilities, performance bottlenecks, architectural issues, and subtle bugs in code changes. Analyzes correctness, efficiency, scalability, and production readiness of modifications. Use for pull request reviews, commit reviews, security audits of changes, and pre-deployment validation. Supports Django, Flask, FastAPI, pandas, and ML frameworks.
A cat clone with syntax highlighting, line numbers, and Git integration - a modern replacement for cat.
Search GitHub and automatically install and configure MCP (Model Context Protocol) server tools into Claude configuration files. This skill is triggered when users need to install MCP tools. Workflow: Search for MCP projects on GitHub -> Extract npx configuration -> Add to ~/.claude.json -> Handle API keys (if any).
Developer oversight and AI agent coaching. Use when viewing project status across repos, syncing GitHub data, or analyzing agents.md against commit patterns.
Use to spawn isolated worker processes for autonomous issue work. Creates git worktrees, constructs worker prompts, and handles worker lifecycle.
Use when receiving UAT feedback, bug reports, user testing results, stakeholder feedback, QA findings, or any batch of issues to investigate. Investigates each item BEFORE creating issues, classifies by type and priority, creates well-formed GitHub issues with proper project board integration.