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Open-source skill repos

Find the public repos shaping how AI agents work.

Browse curated GitHub repos builders can install, study, adapt, compare, or integrate into real agent workflows. Each card points to the source and the trust checks to run before use.

Featured starting points

Start with repos that map cleanly to builder workflows

These are not generic AI links. Each one gives builders a concrete workflow, skill format, context pattern, or integration path to study.

Category guides

Browse by agent builder problem

Use these static guides when you want a focused comparison set instead of the full inventory.

Curated comparisons

Choose between common agent repo options

These short guides compare practical first moves without pretending to rank every project in the ecosystem.

Curated repo inventory

Filter by the job you need the repo to do

Use category and intent filters to find install candidates, study references, adaptation patterns, comparison sets, and integrations.

Claude Code directory

Awesome Claude Code

Shared by hesreallyhim · hesreallyhim/awesome-claude-code

46.1k

A curated list of Claude Code skills, hooks, slash commands, orchestrators, apps, and plugins.

Best next step: Study first. Review the source, then try one low-risk workflow before making it default.
Claude Code directorystudyPython
Open profile

Design context

Awesome DESIGN.md

Shared by VoltAgent · VoltAgent/awesome-design-md

89.0k

A collection of DESIGN.md files that teach coding agents how popular design systems behave.

Best next step: Study first. Review the source, then try one low-risk workflow before making it default.
Design contextstudyMarkdown
Open profile

Prompt library

Prompt Engineering Guide

Shared by dair-ai · dair-ai/Prompt-Engineering-Guide

75.5k

Guides, papers, lessons, notebooks, and resources for prompt engineering, context engineering, RAG, and agents.

Best next step: Study first. Review the source, then try one low-risk workflow before making it default.
Prompt librarystudyMDX
Open profile

Prompt library

Prompts.chat

Shared by f · f/prompts.chat

164k

A large open-source prompt collection formerly known as Awesome ChatGPT Prompts.

Best next step: Study first. Review the source, then try one low-risk workflow before making it default.
Prompt librarystudyHTML
Open profile

Coding agent

Claude Code

Shared by anthropics · anthropics/claude-code

34.2k

Public Claude Code repo and docs for studying agentic coding workflows.

Best next step: Study first. Review the source, then try one low-risk workflow before making it default.
Coding agentstudyTypeScript
Open profile

Agent framework

AutoGen

Shared by microsoft · microsoft/autogen

50.2k

Framework for building conversational, tool-using, and multi-agent applications.

Best next step: Study first. Review the source, then try one low-risk workflow before making it default.
Agent frameworkstudyPython
Open profile

Memory and context

Letta

Shared by letta-ai · letta-ai/letta

17.1k

Framework for stateful agents with memory, tools, and long-running behavior.

Best next step: Study first. Review the source, then try one low-risk workflow before making it default.
Memory and contextstudyPython
Open profile

RAG and documents

PrivateGPT

Shared by zylon-ai · zylon-ai/private-gpt

55.6k

Reference implementation for private document ingestion and question answering.

Best next step: Study first. Review the source, then try one low-risk workflow before making it default.
RAG and documentsstudyPython
Open profile

Browser automation

Skyvern

Shared by Skyvern-AI · Skyvern-AI/skyvern

13.7k

AI browser automation for repetitive web workflows and form-heavy tasks.

Best next step: Study first. Review the source, then try one low-risk workflow before making it default.
Browser automationstudyPython
Open profile

Learning resource

Awesome Generative AI

Shared by steven2358 · steven2358/awesome-generative-ai

8.9k

Curated resources for generative AI tools, agents, courses, and references.

Best next step: Study first. Review the source, then try one low-risk workflow before making it default.
Learning resourcestudyMarkdown
Open profile

Learning resource

AI Engineering Hub

Shared by patchy631 · patchy631/ai-engineering-hub

18.0k

Hands-on examples for RAG, agents, LLM apps, and production AI engineering.

Best next step: Study first. Review the source, then try one low-risk workflow before making it default.
Learning resourcestudyJupyter Notebook
Open profile

Trust check

Treat every public agent workflow as source to review, not magic to trust.

Before installing or integrating, check the license, maintainer activity, permission scope, hidden network calls, credential handling, and whether the workflow was tested on a task like yours.

Build in public with us

Have an AI agent skill, MCP server, or workflow repo worth studying?

Submit it for review. Strong fits can be added to the directory, highlighted on BuildLeanSaaS X, and included in future blog roundups for builders comparing real agent workflows.

Submit yours for X highlight

Builder learning path

Want help turning these repo ideas into working agent systems?

BuildLeanSaaS teaches builders how to evaluate public examples, design safer workflows, and ship agent-backed product systems with review loops.

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Open Source AI Skills and Agent Workflow Repos | Build Lean SaaS