AK體 · 數據驅動的 Threads 寫文決策系統。用你的歷史貼文、演算法與社媒心理學，協助選題、起草、發文前診斷、表現預估與復盤。Data-driven Threads writing advisor — topic selection, drafting, diagnosis, prediction & review based on your own post history.
# Add to your Claude Code skills
git clone https://github.com/akseolabs-seo/AK-Threads-boosterak-threads-booster remains the internal skill id for routing and installation.
Use this as the single entry point for the AK Threads workflow.
This skill is for creators who want to pick stronger topics, write posts with clearer upside, and improve over time using their own Threads history.
It is not a viral-post guarantee engine. It is a decision system:
Classify the user's request first, then open and follow one primary module unless the task clearly needs a short sequence.
Each sub-skill is located via Glob **/skills/<name>/SKILL.md so resolution works regardless of where the plugin is installed. Do not assume an absolute path or environment variable.
**/skills/setup/SKILL.md**/skills/refresh/SKILL.md**/skills/analyze/SKILL.md**/skills/draft/SKILL.md**/skills/predict/SKILL.md**/skills/review/SKILL.md**/skills/topics/SKILL.md**/skills/voice/SKILL.mdAK-Threads-Booster 是這個 skill 的內部代號與安裝 id。
AK-Threads-Booster 是一套給 Threads 創作者用的 AI skill 系統。
它不是要幫你亂寫一堆貼文，而是幫你把「選題、起草、分析、預測、復盤」變成一套有資料依據的工作流，讓你更容易發出值得被分享、收藏、討論的內容。
如果你平常的痛點是這些：
這套 skill 就是為這些問題設計的。
它不保證爆文。
它做的是讓你用自己的歷史資料，提高每一次發文決策的品質，讓「更有擴散機會」這件事變得比較可複製。
/topics 不是單純丟熱門題給你。
它會一起看：
也就是說，它不只是找「熱門」，而是找「對你這個帳號來說，現在更值得發」的題目。
/draft 會根據：
brand_voice.mdstyle_guide.md來起草一篇比較接近你語感的內容。
而且它不是拿到題目就直接寫，前面還會先做 freshness gate，避免你花時間寫一個其實已經被寫爛的角度。
/analyze 是這套 skill 的 decision layer。
它會看：
這樣你在按下發送前，不是只靠感覺。
/predict 會用相似歷史貼文幫你估 24 小時的可能區間，讓你不要因為單篇波動就誤判。
No comments yet. Be the first to share your thoughts!
threads_daily_tracker.json is missing, do not pretend the work is data-backed. Ask for fallback history or use the setup path./analyze. /analyze gives pointed diagnosis and preserves the user's format; it does not rewrite the post. Route to /draft only when the user has no existing text and wants something generated from a topic.brand_voice.md is a composition driver only in /draft. Every other module treats it as observation-only — for flagging drift, never for rewriting the user's submission toward a voice template.Look in the working directory for:
threads_daily_tracker.json - canonical machine-readable trackerstyle_guide.md - produced by /setupconcept_library.md - produced by /setupbrand_voice.md - produced by /voice, referenced by /draftposts_by_date.md - human-readable archiveposts_by_topic.md - human-readable topic indexcomments.md - human-readable flat comment logthreads_freshness.log - audit log for /draft and /topics freshness gates, read by /reviewthreads_refresh.log - audit log for /refresh runs, read by /reviewIf legacy Chinese companion filenames already exist, treat them as equivalent companion files instead of forcing a rename.
If only the tracker exists, continue in tracker-only fallback mode when the chosen module allows it. If the tracker is missing, do not pretend the work is data-backed - ask for fallback history or use /setup.
/review 會把實際表現、預測偏差、風格訊號再寫回 tracker。
這點很重要，因為很多工具只會給你建議，不會讓系統越用越準。這套 skill 的重點就是把學到的東西留下來。
/refresh 可以更新 threads_daily_tracker.json：
你不用每次都自己慢慢補資料。
這套 skill 特別適合：
如果你現在還完全沒有歷史資料，它也可以用，但前期的判斷會比較弱。這套系統的價值，會隨著你的資料累積而變強。
跑完 /setup 之後，工作目錄通常會有：
threads_daily_tracker.jsonstyle_guide.mdconcept_library.mdbrand_voice.md（如果有跑 /voice）posts_by_date.mdposts_by_topic.mdcomments.md其中最重要的是 threads_daily_tracker.json。
其他 skill 幾乎都是圍繞這份 tracker 在做判斷。
/setup
/voice
先把歷史資料整理好，再把 Brand Voice 建起來。
/topics
/draft
/analyze
這是最實用的一組流程：
/topics 找題/draft 起草/analyze 發文前檢查/predict
/review
這樣系統會慢慢知道：
你可以用這些方式建立資料：
API 不是必須，但如果你有 API，更新會輕鬆很多。
AK-Threads-Booster 是一套以你的 Threads 歷史資料為核心的內容決策系統。
它的重點不是自動亂生文，而是幫你：
claude install-plugin https://github.com/akseolabs-seo/AK-Threads-booster
git clone https://github.com/akseolabs-seo/AK-Threads-booster.git
再依你使用的工具，把這個 repo 放到對應的 skill / plugin 目錄即可。
AK-Threads-booster/
|- SKILL.md
|- AGENTS.md
|- skills/
| |- setup/SKILL.md
| |- refresh/SKILL.md
| |- analyze/SKILL.md
| |- draft/SKILL.md
| |- predict/SKILL.md
| |- review/SKILL.md
| |- topics/SKILL.md
| |- voice/SKILL.md
|- knowledge/
| |- _shared/
| |- psychology.md
| |- algorithm.md
| |- ai-detection.md
| |- data-confidence.md
| |- chrome-selectors.md
|- scripts/
| |- fetch_threads.py
| |- parse_export.py
| |- update_snapshots.py
| |- update_topic_freshness.py
| |- render_companions.py
|- templates/
|- examples/
MIT License. See LICENSE.