coding-tutor
Your personal AI coding tutor that creates customized tutorials based on your actual codebase, tracks your learning progress, and uses spaced repetition to ensure mastery.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
182 skills found
Your personal AI coding tutor that creates customized tutorials based on your actual codebase, tracks your learning progress, and uses spaced repetition to ensure mastery.
A specialized Git assistant for executing safe interactive rebases, managing commit history, and resolving merge conflicts with automated safety backups.
Perform rigorous code reviews for FastMCP projects, focusing on API design, dependency management, and codebase consistency.
Build AI agents with tool calling and multi-step reasoning. Generate, manage, and orchestrate custom skill files for Claude Code, Cursor, Cline, and other AI assistants to standardize your development workflows.
Sends debugging data, logs, and visual output to the Ray desktop application via its local API for real-time developer feedback.
AI-driven GitHub Actions automation featuring swarm-based workflow orchestration, intelligent CI/CD pipeline management, and autonomous repository maintenance.
Automated code quality validation tool for pre-commit and pre-deploy checks, covering TypeScript, builds, and linting.
A rigorous TDD workflow agent that enforces test-first development, ensuring 80%+ code coverage across unit, integration, and E2E tests for features, bug fixes, and refactoring.
A testing utility for the npm-agentskills framework, designed to validate Nuxt module integration and skill discovery patterns.
Systematic project technology stack detection, framework-specific skill auto-loading, and multi-stack analysis for fullstack projects like React + Go.
Security-first auditing framework for AI-generated code. Provides multi-level protection including hardcoded secret detection, dangerous pattern identification, and comprehensive vulnerability audits for modern web applications.
Analyze codebase statistics: LOC, language distribution, and code-to-comment ratios using pygount.