Claude Skill

Work-Fisher/openclaw-ai-assistant-framework

OpenClaw AI Assistant Framework: a Python-based framework with a 7-step deep usage methodology and trace-cleaning mechanism for building secure, efficient AI assistants.

Overview

Stars322
Forks104
LanguagePython
Last pushed2026-02-28
Last synced2026-05-15
View on GitHub

Repository

OwnerWork-Fisher
Repositoryopenclaw-ai-assistant-framework
Full nameWork-Fisher/openclaw-ai-assistant-framework
Repo ID1,168,519,469

🚀 Install this Skill

openclaw install Work-Fisher/openclaw-ai-assistant-framework

Summary

OpenClaw AI Assistant Framework is a complete Python-based framework for building AI assistants, featuring a 7-step deep usage methodology and a trace-cleaning mechanism to ensure efficient and secure interactions.

Chinese description

OpenClaw AI助手完整框架 - 7步深度使用法 + 回溯清理机制

Key features

  • 7-step deep usage methodology for structured AI assistant workflows
  • Trace-cleaning mechanism to maintain privacy and reduce context noise
  • Python-based, easy to integrate into existing projects
  • Lightweight and modular design for flexible customization

Use cases

  • Building custom AI assistants with controlled conversation flow
  • Privacy-sensitive applications requiring automatic trace cleanup
  • Rapid prototyping of AI-powered tools and chatbots
  • Educational projects for learning AI assistant architecture

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Data from GitHub. Synced on 2026-05-15