SkillCheatSheet
langchain
An AI agent skill from Orchestra-Research/AI-Research-SKILLs, scored 67 out of 100 by code.
Code score by group
It loses the most points in Done criteria (15), the group that checks whether there is a checklist and a step that verifies the work.
What the author says it does
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- Orchestra-Research/AI-Research-SKILLs
- Folder
- 14-agents/langchain
- License
- MIT
- GitHub stars
- 14,480
- SKILL.md lines
- 481
- Other files
- 3
Add langchain to your agent
npx skills add Orchestra-Research/AI-Research-SKILLs --skill langchainThe command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.
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All skills in Orchestra-Research/AI-Research-SKILLs
Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.