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Zoe's self-improvement system - learns from corrections and user preferences
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Token-efficient tracking for AI orchestration. CLI-first for status updates (~50 tokens), agent fallback for complex ops (~1KB). Use when: updating task status, querying blockers, creating progress files, validating phases.
AshAi extension guidelines for integrating AI capabilities with Ash Framework. Use when implementing vectorization/embeddings, exposing Ash actions as LLM tools, creating prompt-backed actions, or setting up MCP servers. Covers semantic search, LangChain integration, and structured outputs.
This skill should be used when solving hard questions, complex architectural problems, or debugging issues that benefit from GPT-5 Pro or GPT-5.1 thinking models with large file context. Use when standard Claude analysis needs deeper reasoning or extended context windows.
Based on SOC occupation classification
| name | self-improvement |
| description | Zoe's self-improvement system - learns from corrections and user preferences |
| version | 1.0.0 |
| author | zoe-team |
| api_only | true |
| priority | 1 |
| triggers | ["remember that","don't forget","i prefer","from now on","always remember","never forget","i told you"] |
| allowed_endpoints | ["GET /api/learnings","POST /api/learnings/*/confirm","POST /api/learnings/*/dismiss"] |
| tags | ["meta","self-improvement"] |
Automatically active. This skill runs in the background to detect when users correct Zoe or express preferences. Explicit triggers like "remember that" or "from now on" create immediate learnings.
