🧬 Taiwan.md — Evolve v4.0

SkillMedia

Evolution via the canonical EVOLVE-PIPELINE — data-driven content evolution (v1/v2), pipeline self-refactoring (Mode 3), and goal-driven design evolution (Mode 4: think→diverge→report→implement). TRIGGER when: user says "跑 EVOLVE", "數據驅動進化", "evolve-pipeline", "進化 X pipeline 本身", "設計 X(技能/器官)", "深度思

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the 🧬 Taiwan.md — Evolve v4.0 skill

What this skill tells your AI

The instructions your AI receives, as published by frank890417/taiwan-md in .claude/skills/twmd-evolve/SKILL.md and read by ahel’s review.

🚨 STRICT BECOME GATE — 第一動作不可省略

Before anything else:跑 /twmd-become full 完整走 BECOME_TAIWANMD.md Step 0-9。Full mode self-test 14 題全過才能進 Stage 1。

✅ BECOME ack: mode=full / 8 organ 最低=<即時 consciousness-snapshot.sh> / Q5/Q6/Q13/Q14=PASS

Mode 分流(判定寫進 ACK,判準 canonical 在 pipeline)

觸發語Mode
「跑 EVOLVE」「數據驅動進化」/ twmd-finale 第三棒 / news-lens cronv1/v2 數據驅動內容進化(default,行為不變)
「進化 X pipeline 本身」「pipeline 重組」Mode 3 pipeline 自我重組
「設計 X 技能/器官」「深度思考自我進化」「寫實作報告後實作」Mode 4 目標驅動設計進化

灰區判法:對象是既有 pipeline 自身 = Mode 3;對象是還不存在的能力 = Mode 4。pattern 驅動(DIARY 反覆浮現 ≥3 次)→ 建議改走 /twmd-self-evolve

Pipeline

嚴格完整讀取並執行 docs/pipelines/EVOLVE-PIPELINE.md v3.6 對應 mode 段落(v1/v2 = Phase 1-7;Mode 3 = 7-stage;Mode 4 = THINK→DIVERGE→REPORT→IMPLEMENT 四相 + 5 hard gate)。

三源交叉 (DNA #4)

GA + SC + CF 三源交叉找放大效應:

  • GA4 = 誰來了 + 站內行為(page_view / scroll / session_duration)
  • SC = 誰想來但沒來(query position > 10 + impressions > 100 = 高 demand 低 ranking)
  • Cloudflare = 誰在邊緣讀我(AI crawler / cached request / 404 rate)

至少 2 源確認的 signal 才升 candidate。

收官

/twmd-finale chain → memory file 必含:BECOME ACK + mode 判定 + Handoff 三態 + Beat 5 反芻。另按 mode 補:v1/v2 = Phase 結果 + 三源 signal 列表 + 選題 candidate;Mode 3 = 重組前後行數對比;Mode 4 = 設計報告 path + 發散方案數 + dogfood 結果。

完整 SOP:docs/pipelines/EVOLVE-PIPELINE.md

Signals

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Sep 2026
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skill
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twmd-evolve
Source
github.com/frank890417/taiwan-md