القائمة
Extract training signals from Fae's memory — SFT examples, DPO correction pairs, engagement scores, and interest-weighted sampling.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Collaborate over x0x — contacts, messages, spaces, boards, files, presence, trusted-machine port forwards, and replicated stores. Use for sharing cards, connecting people, or cross-device work.
Guide for surfacing one relevant Fae capability that the user hasn't set up yet. Warm, specific, one thing at a time.
Deep pipeline diagnostic — every model, system specs, audio config, speaker state. Flags missing or broken components. Use for diagnose, debug, or health check.
Set up (or turn off) a cloud brain for harder questions via OpenRouter — privacy-first, plain language. Use when the user wants a bigger or smarter brain or mentions the cloud.
A warm first conversation for someone meeting Fae for the first time — getting to know their name, where they live, and what they care about, showing one thing live, and explaining how to talk to her.
Phase C headless proof skill — prints a deterministic marker via uv run --script through the governed ToolHost bash path.
| name | training-data-bridge |
| description | Extract training signals from Fae's memory — SFT examples, DPO correction pairs, engagement scores, and interest-weighted sampling. |
| tags | ["training","self-improvement","memory"] |
| metadata | {"author":"fae","version":"1.0"} |
Converts Fae's memory into weighted training data for personal model improvement.
| Memory Kind | Training Signal |
|---|---|
| .episode | Raw SFT examples (conversation turns) |
| .profile | Style preferences (response format shaping) |
| .interest | Topic weighting (upweight relevant domains) |
Patterns detected for DPO pair generation:
Generates files in ~/Library/Application Support/fae/training/data/:
