SkillHub

openclaw-skill-langchain-local

v0.1.0

使用 Ollama 和 phi4-mini 本地离线运行 LangChain AI 流水线，支持编程、DevOps、聊天及文档查询，无需云端或 API。

Sourced from ClawHub, Authored by manoj kumar

Installation

Please help me install the skill `openclaw-skill-langchain-local` from SkillHub official store. npx skills add manojrammurthy/openclaw-skill-langchain-local

LangChain Local — Offline AI Chains with Ollama

Run LangChain pipelines locally using Ollama and phi4-mini (or any local model). No API keys, no cloud, fully private and offline.

Requirements

  • Ollama installed and running (ollama serve)
  • phi4-mini pulled (ollama pull phi4-mini)
  • Python packages: pip install langchain langchain-ollama langchain-community

Modes

  • coding — Python/Django code generation (low temperature, precise)
  • devops — Linux/Nginx/Docker shell commands
  • chat — General conversation
  • rag — Document-grounded answers (context-aware)

Usage Examples

  • "Ask langchain-local to write a Django REST API view"
  • "Use langchain-local in devops mode to show how to check disk usage"
  • "Run langchain-local chat mode: explain what is RAG"
  • "Use langchain-local coding mode to write a PostgreSQL backup script"

Implementation

Execute: python3 ~/.openclaw/skills/langchain-local/main.py

Parameters

  • mode: coding | devops | chat | rag (default: coding)
  • query: Your question or instruction

Author

Manoj — https://github.com/manoj