OpenSkillIndex ← back to search

claude-code development

Babysitter langchain-tools

LangChain tool creation and integration utilities for agent systems

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/ai-agents-conversational/skills/langchain-tools" ~/.claude/skills/a5c-ai-babysitter-langchain-tools && rm -rf "$T"

manifest: library/specializations/ai-agents-conversational/skills/langchain-tools/SKILL.md

tags

#langchain-tools #tool-integration #function-calling #pydantic #agent-systems

source content

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

@tool decorator: Simple function-based tools
StructuredTool: Tools with complex input schemas
BaseTool subclass: Full control over tool behavior
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