Explore
MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
Nothing matches every word exactly, so these are the closest matches.
Local-first completion-evidence system for AI-built apps: read-only audit, verifier-executed challenges, evidence-based 0-100 score, guided fixes, learning plan, CLI, and MCP.
Node.jsApache-2.0★ 5No key
CodeTrain: an open-source Socratic coding tutor that runs as an Agent Skill in your coding agent. Tested in Claude Code and OpenCode. The learner writes every line; the agent sets steps, hints and rev
SkillApache-2.0★ 3Few starsNo key
Metric-learning recognition (ml-recog) for fine-grained visual recognition. Learns embeddings for retrieval-based matching (e.g., retail product recognition) using triplet / contrastive losses. Use wh
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grant
OfficialSkillApache-2.0★ 11k in collectionNo key
ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.
SkillApache-2.0★ 2.1kNo key
A collection of skills to turn claude code/codex into a long-lived personal tutor.
SkillApache-2.0★ 15No key
Local-first personal knowledge management (PKM) MCP server and learning memory for every AI tutor—goal trees, a reusable knowledge graph, and evidence-gated mastery.
Node.jsApache-2.0Few starsNo key
Persistent memory MCP server for AI agents — Rust, 19 tools, knowledge graph, Hebbian learning, episodic memory, contradiction detection, prospective triggers, Bayesian calibration, zero-config Docker
Node.jsApache-2.0★ 30No key
CHAP, the Collaborative Human Agent Protocol, is a MCP/A2A-compatible runtime for auditable human-agent work: approvals, overrides, handoffs, escalation and verifiable evidence logs.
Node.jsApache-2.0★ 110No key
Commercial real estate AI agent skills for CRE underwriting, due diligence, financing, brokerage, legal and closing workflows - standalone prompts for Claude Code, ChatGPT, Cursor, and other LLMs.
SkillApache-2.0★ 121No key
SkillApache-2.0★ 39No key
Governance framework for AI coding agents — enforces task traceability, structural gates, session continuity, and audit trails for Claude Code, Cursor, and Copilot.
SkillApache-2.0★ 18No key
Context-aware handoffs for Claude Code that prevent knowledge loss across sessions.
SkillApache-2.0★ 5No key
A cheap, always-on model that learns your repo — so your agent stops re-reading it.
PythonApache-2.0★ 7No key
Give any LLM a private, self-hosted brain on your NAS: categorized memory & skills, your tools, devices, email, calendar & webhooks, an encrypted vault, roles & per-user areas — single-user or multi-u
SkillApache-2.0★ 10No key
Codex-first Agent Skill for verified, local-only IKEA GLB research collections; no IKEA models included.
SkillApache-2.0★ 3Few starsNo key
Fine-tune, quantize, and publish your model all from your Apple silicon devices. I meant macOS.
Node.jsApache-2.0★ 1Few starsNo key
Probe RL environment verifiers for false passes and false fails
PythonApache-2.0★ 1Few starsNo key
Turns an organization's internal docs into a living learning system: AI agents generate courses, tutor learners, and adapt content on the fly.
SkillApache-2.0★ 18No key
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect o
OfficialSkillApache-2.0★ 21k in collectionNo key
EDUMCP is a protocol that integrates the Model Context Protocol (MCP) with applications in the education field, dedicated to achieving seamless interconnection and interoperability among different AI
SkillApache-2.0★ 156No key
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classifica
OfficialSkillApache-2.0★ 11k in collectionNo key
NVDINOv2 for self-supervised visual representation learning. Trains vision transformers via self-distillation (teacher-student) without labels and produces general-purpose visual features. Use when tr
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Who stands behind it