local-skills-mcp-guide
Repository implementation guide for local-skills-mcp. Provides technical documentation on MCP tool handlers, skill loading, aggregation logic, and project structure for developers.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
160 skills found
Repository implementation guide for local-skills-mcp. Provides technical documentation on MCP tool handlers, skill loading, aggregation logic, and project structure for developers.
Manage screenpipe pipes (AI-driven automations) and integrations via CLI. Create, run, schedule, and debug local agents to automate tasks based on your computer activity.
Generate high-quality images via a local ComfyUI instance. Perfect for private workflows and professional-grade AI image synthesis.
Context Engineering agent skill to initialize, generate, and execute comprehensive implementation blueprints (PRPs) for one-pass software development.
A comprehensive aphorism and quote management system for thematic content enrichment, research, and newsletter curation.
A Pomodoro focus timer that tracks work sessions in a local SQLite database to provide productivity analytics and personalized performance insights over time.
Transcribe audio files (wav, mp3, ogg) to text using the Qwen ASR model. Fast, local-friendly, and requires no API keys.
Fast-reference guide and utility skill for Helm chart development, template syntax, and Kubernetes application deployment.
Multi-perspective AI consultation for technical architecture, complex refactoring, and structured debugging.
Manage your Anki flashcards effortlessly via the AnkiConnect REST API. Create, update, search, and organize decks, notes, and cards directly through your AI agent.
Manage agent skills with the ClawdHub CLI: search, install, update, and publish skills directly from clawdhub.com for your local AI assistant.
A wise conductor of expert agents. It helps you achieve goals by summoning, orchestrating, and creating specialized AI experts. Features intellectual humility, multi-agent debate, and self-learning pattern capture.