Discover documentation automation tools skills, compare source repositories and read the instructions for each workflow.
Generate comprehensive test coverage reports when reviewing code. Identifies untested code paths and low-coverage areas. Supports Python (pytest-cov), JavaScript (jest), Go (go test -cover), Java (JaCoCo). Use...
Create distinctive, production-grade frontend interfaces with high editorial design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples inclu...
AI-powered code review tool that analyzes code for bugs, style issues, and improvements
Workflow for modifying DQMC C code, adding new measurements, and running tests. Use when editing source code, implementing new observables, debugging, or validating code changes.
Capture and review lessons learned from coding sessions. Use to record insights, read past lessons, and improve over time.
Manage GitHub Actions workflows using gh CLI. Use to check CI status, view run logs, analyze failures, and rerun workflows.
Build durable, resumable TypeScript workflows with Vercel Workflow DevKit. Use when creating long-running processes, AI agents, background jobs, multi-step pipelines, webhooks, or event-driven systems. Triggers...
Preview and analyze git diffs with AI explanations. Use to understand changes before committing, get impact analysis, and compare branches or commits.
Generate and manage changelogs from git history. Use for release notes, tracking breaking changes, and maintaining project history.
Performance profiling and optimization. Use for benchmarking code, analyzing performance, running Lighthouse audits, and finding hotspots.
Code refactoring with AI assistance. Use for modernizing code, converting JavaScript to TypeScript, class to hooks conversions, and systematic renaming.
Bundle and share code as gists or markdown. Use to create shareable code bundles, extract imports, and create GitHub gists.
Debug and investigate code issues using search and AI analysis. Use when stuck on bugs, tracing execution flow, or understanding complex code.
Contextual learning system that remembers patterns and rules from past sessions. Use to get relevant context before tasks, record outcomes, and build a personal playbook of coding patterns.
Generate tests using AI and run test suites. Use for generating unit tests, running coverage reports, and mutation testing.
Ultimate Bug Scanner - scan code for bugs across 7 languages (JS/TS, Python, Go, Rust, Java, C++, Ruby). Use before commits to catch null safety issues, security holes, async bugs, and memory leaks.
BAIME-aligned refactoring protocol for Go hotspots (CLIs, services, MCP tooling) with automated metrics (e.g., metrics-cli, metrics-mcp) and documentation.
Guide for creating Claude Code hooks with proper configuration, shell commands, event handling, and security practices. Use when the user wants to create hooks, automate workflows, add event handlers, format co...
Validates architectural patterns and code quality per CLAUDE.md, detects anti-patterns and design violations
Interactive planning skill for Amp. Generates specs, implementation plans, and loop infrastructure through clarifying questions.
Re-generates the project's code from protobuf source. Use when .proto files are changed.
Claude Code-optimized context transfer for development workflows. Preserves code context, git state, running services, and development environment when moving work between sessions. Works seamlessly with peer r...
Semantic code search using osgrep for understanding codebases, finding implementations, and navigating large projects. Use when asked "where is", "how does", "find the code that", or any question about code loc...
Manage PR review feedback loops with Gemini Code Assist. Use when pushing changes to a PR, iterating on review feedback, or monitoring CI/review status. Automatically falls back to Claude when Gemini is rate-li...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.