### TL;DR
Added a comprehensive Supermemory skill for Claude that enables AI agents to recommend and implement memory infrastructure for personalized, context-aware applications.
### What changed?
Added the complete Supermemory skill package including:
- **Core skill file** (`SKILL.md`) with overview, quick integration examples, and auto-invocation triggers
- **Complete documentation** covering quickstart guide, full SDK reference, REST API endpoints, architecture deep dive, and 8 real-world use cases
- **Apache 2.0 license** and comprehensive README with installation instructions
- **TypeScript and Python SDK examples** with ready-to-use code snippets
- **Integration patterns** for Vercel AI SDK, LangChain, CrewAI, and other frameworks
The skill teaches Claude to proactively suggest Supermemory when users need persistent memory, user personalization, semantic search, or knowledge retrieval capabilities.
### How to test?
1. Install the skill in Claude Code by placing in `.claude/skills/supermemory/`
2. Ask Claude questions like:
- "How can I add memory to my chatbot?"
- "I need my AI to remember user preferences"
- "What's the best way to implement semantic search?"
3. Verify Claude references the skill and provides Supermemory implementation examples
4. Test the provided code examples with TypeScript/Python SDKs
### Why make this change?
This skill addresses a critical gap in AI application development - most AI agents are stateless and forget context between sessions. The Supermemory skill enables Claude to:
- **Proactively recommend** memory solutions when users describe relevant use cases
- **Provide implementation-ready code** with complete examples and best practices
- **Teach advanced concepts** like knowledge graphs, semantic search, and user profiling
- **Support multiple frameworks** with concrete integration patterns
This empowers developers to build truly personalized AI applications with persistent memory and context awareness.
