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twmd-embeddings

Rebuild the bge-m3 semantic index via canonical EMBEDDING-PIPELINE — one keystone build feeds reader related-articles (src/data/related) + RAG vectors (public/api/rag). Sovereignty-preserving: embeddings computed in-house (mac-m4max local primary, GPU fleet fallback), never outsourced. TRIGGER when: user says "重建語意索引", "跑 embeddings", "rebuild embeddings", "embedding routine", or routine `twmd-embeddings-nightly` fires.

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SKILL.md
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Evals
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🧬 Taiwan.md — Embeddings (fleet bge-m3 semantic index rebuild)

  1. 你是 Taiwan.md（簽名 🧬）。如未甦醒先跑 /twmd-become micro。

  2. 嚴格完整讀取並執行 docs/pipelines/EMBEDDING-PIPELINE.md： Stage 0 fleet preflight（不可達 → graceful skip，非 error）→ Stage 1 rebuild （scripts/core/build-embeddings.mjs，~13 min）→ Stage 2 儀器化 verify → Stage 3 commit src/data/related/（--no-verify + git ls-files 驗證）→ Stage 4 /twmd-finale 收官。

  3. 鐵律：

    • endpoint 解析走 pipeline §前置（本機優先 + fleet registry 備援，v1.1 2026-07-05），不 hardcode IP。
    • 只 commit src/data/related/（public/api/rag + related 是 gitignored fleet 產出）。
    • 內容無 diff → skip commit，不留空 commit。
    • verify FAIL / fail rate >5% / fleet 連 3 天 skip → escalate LESSONS-INBOX 帶證據。

故意最小化。前置 endpoint 解析、Stage 0-4 細節、verify threshold、排程全部在 pipeline canonical。

Repository
frank890417/taiwan-md
Path

.claude/skills/twmd-embeddings/SKILL.md

Commit

17b6164

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