Production-grade Agent Skills for AI coding agents—composable workflows for planning, TDD, debugging, review, UI/UX, releases, incidents, and evals.

Composable agent runtime with enforced isolation boundaries

Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps

The IM for agents. Shared Agent Context & Memory, supervised execution, and cross-agent audit across AI providers.

Agent skills for LandingAI's Agentic Document Extraction (ADE) — production-ready document AI for agentic coding assistants

Practical Agent Skills — English-for-engineers coaching, Pi Agent setup, and more. Install via npx skills add.

Self-hosted agent OS with skills, workflows, MCP, and second brain storage.

Open-source AI coding agent and agent runtime: one binary, any model, MCP-native. Runs in terminal, CI, or as a daemon.

Claude Code plugin that picks and implements the right payment method for your app — from your terminal. 42 providers, 136 payment rails, and deterministic validators that block insecure payment code as it is written.

AI agent skills for Basecamp

An evaluation and evolution tool for Agent Skills.

Rome is the agentic OS.

A framework for discovering, compiling, and validating reusable skills for scientific agents.

Open-Source Platform for Subagents and Agent Teams. Long-running, collaborative, proactive.

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

Orchestrate AI coding agents (Claude Code, Codex) as parallel subagents over tmux — a loop-engineering runtime with auto-continue, execute-then-review, and cross-session memory.

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

Emdash is the Open-Source Agentic Development Environment (🧡 YC W26). Run multiple coding agents in parallel. Use any provider.

A fast, native RSS reader — plus an agent-facing CLI so your AI agent can read, search and triage your feeds from the shell.

Agent-friendly ComfyUI workflow skills for OpenClaw, Hermes Agent, Codex, and Claude Code; complementary to Comfy official local MCP.

Lateral thinking skills for AI agents - 8 techniques + a router. de Bono for your coding agent.

Growing Expertise for Coding Agents — structured expertise files that accumulate over time, live in git, work with any agent

Agent-native marketing CLI: 76 skills, 6 research/review agents, brand memory that compounds across sessions, and a local Studio dashboard. One npm install, then /cmo in your coding agent.

An enterprise AI development framework for building AI agents. It provides unified management of multi-provider LLMs, secure enterprise knowledge bases with high-precision retrieval, visual workflow orchestration and multi-agent coordination. Compatible with mainstream Agent Skill standards, it enables developers to efficiently build production-gra