Best github automation skills for AI agents

A comprehensive library of over 1,273 agentic skills for various AI coding assistants, featuring clear documentation and installation instructions.

Excellent quality, 38K stars, and a 33 use-case fit score.

A repository of skills designed to enhance daily work efficiency with Claude Code.

Excellent quality, 19K stars, and a 32 use-case fit score.

Open Design is a powerful, local-first design tool that integrates multiple coding-agent CLIs for generating various design outputs.

Excellent quality, 50K stars, and a 32 use-case fit score.

A curated list of resources and tools for enhancing Claude AI workflows.

Excellent quality, 61K stars, and a 30 use-case fit score.

A comprehensive collection of AI-related utilities with community contributions.

Excellent quality, 6.0K stars, and a 30 use-case fit score.

Zvec is a lightweight and fast in-process vector database suitable for various applications.

Excellent quality, 9.7K stars, and a 29 use-case fit score.

A marketplace for AI-assisted security analysis and auditing plugins.

Excellent quality, 5.3K stars, and a 28 use-case fit score.

Agent Skills provides a structured approach for AI coding agents to follow production-grade engineering practices throughout the software development lifecycle.

Excellent quality, 45K stars, and a 27 use-case fit score.

FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

Excellent quality, 23K stars, and a 26 use-case fit score.

A curated collection of over 380 agent skills from official teams and the community, enhancing AI capabilities.

Excellent quality, 23K stars, and a 26 use-case fit score.

A skill for implementing persistent markdown planning workflows inspired by a successful AI agent acquisition.

Excellent quality, 22K stars, and a 26 use-case fit score.

Agent Skills provides a structured format for enhancing AI agents with new capabilities through community-contributed skills.

Excellent quality, 19K stars, and a 26 use-case fit score.

Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.

Excellent quality, 18K stars, and a 26 use-case fit score.

KubeSphere is a comprehensive container platform designed for managing Kubernetes across multi-cloud, datacenter, and edge environments.

Excellent quality, 17K stars, and a 26 use-case fit score.

Manifest provides smart routing for LLMs in OpenClaw, significantly reducing costs.

Excellent quality, 6.6K stars, and a 25 use-case fit score.

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

Excellent quality, 78K stars, and a 25 use-case fit score.

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

Excellent quality, 78K stars, and a 25 use-case fit score.

Adaptive web scraping for agent data collection

Excellent quality, 53K stars, and a 24 use-case fit score.

A comprehensive collection of community-built OpenClaw skills organized by category.

Excellent quality, 49K stars, and a 24 use-case fit score.

Vane is an AI-powered answering engine.

Excellent quality, 35K stars, and a 24 use-case fit score.

Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.

Excellent quality, 29K stars, and a 24 use-case fit score.

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

Excellent quality, 28K stars, and a 24 use-case fit score.

A comprehensive set of agent skills designed for various scientific and analytical applications.

Excellent quality, 25K stars, and a 24 use-case fit score.

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.

Excellent quality, 25K stars, and a 24 use-case fit score.

OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.

Excellent quality, 25K stars, and a 23 use-case fit score.

Build browser agents with natural language actions

Excellent quality, 23K stars, and a 23 use-case fit score.

An open-source RAG-based tool for chatting with your documents.

Excellent quality, 25K stars, and a 23 use-case fit score.

Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.

Excellent quality, 22K stars, and a 23 use-case fit score.

A collection of 100+ specialized Claude Code subagents covering a wide range of development use cases

Excellent quality, 20K stars, and a 23 use-case fit score.

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Excellent quality, 19K stars, and a 23 use-case fit score.