Context Engineering Intro
This is a structured AI coding assistant tool that replaces vague prompts with systematic context engineering. It's like giving your AI assistant a detailed screenplay instead of sticky notes.
- 12k+ developer proven
- 80% less failures
- Direct AI like a screenplay
- MIT open-source freedom
- Complex feature development
- Code standard unification
- Team onboarding
- Legacy project refactoring
- Initial setup takes time
- Requires pattern library maintenance
openclaw/openclaw
openclaw
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
f/awesome-chatgpt-prompts
f
Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
Validated by 140k users, used by Harvard professors - turn you into an AI conversation expert in 3 seconds
anthropics/skills
anthropics
Public repository for Agent Skills
Official skill repository ensures quality, ready-to-use solutions for 90% professional needs
upstash/context7
upstash
Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
Solves the most frustrating problem in AI coding - outdated docs and hallucinated APIs
CherryHQ/cherry-studio
CherryHQ
AI Agent + Coding Agent + 300+ assistants: agentic AI desktop with autonomous coding, intelligent automation, and unified access to frontier LLMs.
Integrates top AI services with document processing and coding features, offering commercial-grade experience for free
affaan-m/everything-claude-code
affaan-m
Complete Claude Code configuration collection - agents, skills, hooks, commands, rules, MCPs. Battle-tested configs from an Anthropic hackathon winner.
37k stars validate its practical essence, directly improving code quality and development efficiency