langchain-builder

name	langchain-builder
description	Build LangChain chains, agents, and tool integrations with scaffolding, validation, and template generation. Use when this capability is needed.
metadata	{"author":"Danielhogben"}

LangChain Builder

Build LangChain chains, agents, and tool integrations with scaffolding, validation, and template generation.

What it does

Scaffolds LangChain projects, generates chain and agent configurations, creates prompt templates, and validates chain configs for common errors. Produces ready-to-run Python files with proper imports and structure.

Commands

Command	Description
init <project>	Scaffold a new LangChain project with requirements.txt and project structure
chain <type> --name <n>	Generate a chain template: llm, sequential, router
agent <tools>	Generate an agent config with specified tools (search, calculator, python_repl)
prompt <description>	Create a prompt template from a natural language description
validate <file>	Check a chain/agent Python file for common configuration errors

Examples

python3 langchain_builder.py init my-rag-app
python3 langchain_builder.py chain llm --name summarizer
python3 langchain_builder.py agent search,calculator
python3 langchain_builder.py prompt "Summarize a document in 3 bullet points"
python3 langchain_builder.py validate my_chain.py

Chain types

• llm — Single LLMChain with prompt + model
• sequential — SequentialChain connecting multiple LLMChains
• router — RouterChain that selects sub-chains based on input classification

Generated files include

• Proper langchain imports (community packages where needed)
• Environment variable loading via python-dotenv
• Error handling and type hints
• Runnable patterns (LangChain Expression Language where applicable)

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Source: Danielhogben/hermes-skills — distributed by TomeVault.