Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
| Date | Stars |
|---|---|
| 2026-07-31 | 1056 |
| 2026-08-01 | 1058 |
| 2026-08-02 | 1066 |
| 2026-08-03 | 1073 |
| 2026-08-04 | 1078 |
| 2026-08-05 | 1100 |
| 2026-08-06 | 1104 |
Today
+4 stars today
This week
— stars this week
This month
— stars this month
Momentum
21.0
growth rate 0.00%/day
# LangChain Skills > **⚠️** — This project is in early development. APIs and skill content may change. Agent skills for building agents with LangChain, LangGraph, and Deep Agents. > For LangSmith-specific trace and dataset workflows, use [langsmith-skills](https://github.com/langchain-ai/langsmith-skills). ## Supported Coding Agents These skills can be installed via [`npx skills`](https://github.com/vercel-labs/skills) for any agent that supports the [Agent Skills specification](https://skills.sh), including Claude Code, Cursor, Windsurf, and more. ## Installation ### Quick Install Using [`npx skills`](https://github.com/vercel-labs/skills): **Local** (current project): ```bash npx skills add langchain-ai/langchain-skills --skill '*' --yes ``` **Global** (all projects): ```bash npx skills add langchain-ai/langchain-skills --skill '*' --yes --global ``` To link skills to a specific agent (e.g. Claude Code): ```bash npx skills add langchain-ai/langchain-skills --agent claude-code --skill '*' --yes --global ``` --- ### Claude Code Plugin Install directly as a [Claude Code plugin](https://code.claude.com/docs/en/plugins): ```bash /plugin marketplace add langchain-ai/langchain-skills /plugin install langchain-skills@langchain-skills ``` --- ### Install Script (Claude Code & Deep Agents CLI only) Alternatively, clone the repo and use the install script: ```bash # Install for Claude Code in current directory (default) ./install.sh # Install for Claude Code in a specific project directory ./install.sh ~/my-project # Install for Claude Code globally ./install.sh --global # Install for Deep Agents CLI in a specific project directory ./install.sh --deepagents ~/my-project # Install for Deep Agents CLI globally (includes agent persona) ./install.sh --deepagents --global ``` | Flag / Argument | Description | |------|-------------| | `DIRECTORY` | Target project directory (default: current directory, ignored with `--global`) | | `--claude` | Install for Claude Code (default) | | `--deepagents` | Install for Deep Agents CLI | | `--global`, `-g` | Install globally instead of current directory | | `--force`, `-f` | Overwrite skills with same names as this package | | `--yes`, `-y` | Skip confirmation prompts | ## Usage After installation, set your API keys: ```bash export OPENAI_API_KEY=<your-key> # For OpenAI models export ANTHROPIC_API_KEY=<your-key> # For Anthropic models ``` Then run your coding agent from the directory where you installed (for local installs) or from anywhere (for global installs). ### Eval Engineering To install only the eval-engineering skill: ```bash npx skills add langchain-ai/langchain-skills --skill eval-engineering --yes ``` Or ask Codex: “Install the `eval-engineering` skill from `langchain-ai/langchain-skills`.” Eval tasks require [Harbor](https://www.harborframework.com/docs). Run Harbor locally with Docker or use a supported cloud environment. Then ask your coding agent: ```text Use eval-engineering to inspect this agent and propose two or three Harbor evals. Traces for this agent can be found here [Tracing Project/Location]. ``` ## Available Skills (21) ### Getting Started - **ecosystem-primer** - Start-here primer: framework selection (LangChain vs LangGraph vs Deep Agents), env setup, and which skill to load next - **langchain-dependencies** - Full package version and dependency management reference (Python + TypeScript) ### Quickstarts (local) Thin wrappers around the official Mintlify quickstarts — ask for provider/model (default `anthropic:claude-sonnet-5`), new directory, provider API key only: - **langchain-python-quickstart** / **langchain-typescript-quickstart** → [Python](https://docs.langchain.com/oss/python/langchain/quickstart) / [JS](https://docs.langchain.com/oss/javascript/langchain/quickstart) (weather) - **langgraph-python-quickstart** / **langgraph-typescript-quickstart** → [Python](https://docs.langchain.com/oss/python/langgraph/quickstart) / [J
Excerpt of 5,581 characters
Read on GitHub130
12
7
Sydney Runkle · @langchain-ai · Morocco
6
Mason Daugherty · United States
5
Victor Moreira
5
3
Palash Shah · United States
3
3
2
Colin Francis
2
John Kennedy · @langchain-ai
2
1
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c4635d1655904387, llm:Repository name 'langchain-skills' under langchain-ai; likely extensions/skills for LangChain (agent skills, tooling) in TypeScript for building agent capabilities and chains.
matched fp:c4635d1655904387, llm:Repository name 'langchain-skills' under langchain-ai; likely extensions/skills for LangChain (agent skills, tooling) in TypeScript for building agent capabilities and chains.
matched fp:c4635d1655904387, llm:Repository name 'langchain-skills' under langchain-ai; likely extensions/skills for LangChain (agent skills, tooling) in TypeScript for building agent capabilities and chains.