Threads growth operating system for topic selection, drafting, analysis, prediction, review, and tracker refresh based on the user's own post history.
Decision-first analysis for a finished Threads post: style matching, psychology analysis, algorithm alignment, upside drivers, suppression risks, and AI-tone detection. Use after the user writes a post, or when they ask to analyze, check, inspect, or AK-review a draft.
Select a topic and generate a draft based on the user's Brand Voice. Draft quality depends on Brand Voice completeness. Trigger words: 'draft', 'write', '起草', '寫文'.
Self-contained compound loop: read threads_skill_learnings.log, cluster the misses, propose concrete sub-skill rule edits, and apply them with the user's approval. The fourth step after Plan / Work / Review. Trigger words: 'optimize', 'compound', '優化skill', '自我優化', '閉環'.
Launch or prepare the optional local visual panel for AK-Threads-Booster. Use when the user asks for a dashboard, visual panel, local UI, data cockpit, or quick way to view tracker/compiled data.
Estimate likely 24-hour post performance from the user's historical data. Use after the user writes a post and wants a range estimate, upside view, or expectation check.
Refresh threads_daily_tracker.json. Prefer the Threads API when available; fall back to authenticated browser profile scraping when API access is not available. Trigger words: 'refresh', 'update tracker', 'scrape profile', '更新貼文', '抓最新數據'.
Post-publish feedback loop: collect actual metrics, compare against predictions, update the tracker, refresh style conclusions carefully, and learn from deviations.