Add topics/material to ARTICLE-INBOX via canonical BRANCH-PIPELINE — digest observer input (theme / article / raw material) into curated candidates with priority + 連結密度 + 對比理由, then append §Pending. TRIGGER when: user says "/twmd-article-inbox X", "把 X 加進 article inbox", "幫我研究 X 放進 inbox", "X 進 inbox 消化".
Before anything else:跑 /twmd-become write 完整走 BECOME_TAIWANMD.md Step 0-9(write mode 會載 ARTICLE-INBOX §P0/P1 視野,dedup 需要)。
✅ BECOME ack: mode=write / ARTICLE-INBOX pending 數=<inbox-signal 即時讀> / Q14=PASS嚴格完整讀取並執行 docs/pipelines/BRANCH-PIPELINE.md v2.1 Stage 0-5。不消化=不 append:這條 skill 的存在理由是「進 inbox 的每條 entry 都經過分支分析」,raw 主題直接塞 inbox 是本 skill 的反面。
Mode 判斷交 Stage 0(single-article / broad-theme / hybrid;觀察者丟素材而非主題時走 §素材 intake 前處理)。
ls + wc -l reports/research/{YYYY-MM}/...,檔案不存在就補寫或重派。反例:Stage 1 research agent 曾 self-report「已落檔」但檔案不存在(feedback_agent_writefile_hallucination,已升 REWRITE §13)commit + push(worktree 走 semiont-worktree.sh ship)→ memory file 必含:BECOME ACK + mode 判定 + N candidates appended(含 P0/P1/P2 分佈)+ dedup 三查結果 + Handoff 三態。
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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.