🧬 twmd-terminology-trends — 用語趨勢月度觀察（薄殼）
SkillSearchMonthly terminology trends observation via the canonical TERMINOLOGY-TRENDS-PIPELINE — SC requirements → multi-facet search → gap comparison (dual-check deduplication) → up to 20 high-confidence entries stored → monthly trends report. TRIGGER when: routine twmd-terminology-trends-monthly fires / use
Available today. Use it from your connected AI after setup.
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Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the 🧬 twmd-terminology-trends — 用語趨勢月度觀察（薄殼） skill
What this skill tells your AI
The instructions your AI receives, as published by frank890417/taiwan-md in .claude/skills/twmd-terminology-trends/SKILL.md and read by ahel’s review.
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BECOME 前置：跑
/twmd-become write完整甦醒（Step 0-9，Write mode self-test 全過）。 -
完整讀
docs/pipelines/TERMINOLOGY-TRENDS-PIPELINE.md後照 7 stage 嚴格執行，6 個 hard gate 一個不跳：- 雙防線查重（檔名＋全庫值掃描）
- 入庫 ≤20 條/輪
- 帶肉入庫（origin 敘事＋證據 URL）
- 誤判四型必查（日源／方言／港澳／台灣本有）誠信標註
- QA 四件套（parse／charcheck／重複掃／extract-china-terms）
- 刪除類／政治敏感判定 → OBSERVER-QUEUE 不自主施作
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收官：
/twmd-finale（memory 必寫）。
故意最小化。SOP 100% 在 pipeline canonical，本 skill 只做 routing（REFLEXES #15：熟了跳步是最常見退化）。首輪範本：reports/terminology-zhiyu-deep-research-2026-08-04.md。
Signals
- GitHub stars
- 1k
- Forks
- 185
- Last commit
- Sep 2026
Advanced
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twmd-terminology-trends- Source
- github.com/frank890417/taiwan-md