langchain-tools
LangChain tool creation and integration utilities for agent systems
npx skills add majiayu000/claude-skill-registry --skill langchain-tools-a5c-ai-babysitter --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LangChain Tools Skill ## Capabilities - Create custom LangChain tools with proper schemas - Integrate existing tools and APIs - Design tool descriptions for optimal LLM understanding - Implement structured tool inputs with Pydantic - Handle tool errors and fallbacks - Create tool chains and pipelines ## Target Processes - custom-tool-development - function-calling-agent ## Implementation Details ### Tool Creation Patterns 1. **@tool decorator**: Simple function-based tools 2. **StructuredTool**: Tools with complex input schemas 3. **BaseTool subclass**: Full control over tool behavior 4. **Tool from functions**: Dynamic tool creation ### Configuration Options - Tool name and description - Input schema (args_schema) - Return type specification - Error handling strategy - Async/sync execution modes ### Best Practices - Clear, action-oriented descriptions - Explicit input parameter documentation - Proper error messages for LLM understanding - Idempotent operations where possible ### Dependencies - langchain-core - pydantic
- Capabilities
- Target Processes
- Implementation Details
- Tool Creation Patterns
- Configuration Options
- Best Practices
- Dependencies
What does the langchain-tools skill do?
LangChain tool creation and integration utilities for agent systems
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill langchain-tools-a5c-ai-babysitter --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.