Agent-Skills.md

Agent Skills: LangChain Tools Skill

LangChain tool creation and integration utilities for agent systems

UncategorizedID: a5c-ai/babysitter/langchain-tools

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

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pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/plugins/babysitter/skills/babysit/process/specializations/ai-agents-conversational/skills/langchain-tools

Skill Files

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plugins/babysitter/skills/babysit/process/specializations/ai-agents-conversational/skills/langchain-tools/SKILL.md

Skill Metadata

Name
langchain-tools
Description
LangChain tool creation and integration utilities for agent systems

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