LangChain Tools Skill

SkillAI & models

LangChain tool creation and integration utilities for agent systems

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Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

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LangChain Tools SkillStart free

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/ai-agents-conversational/skills/langchain-tools/SKILL.md and read by Ahel’s review.

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

Signals

GitHub stars
2k
Forks
113
Last commit
Sep 2026
Advanced
Item type
skill
Key
langchain-tools
Source
github.com/a5c-ai/babysitter