Helps Threads creators choose what to post next, draft it in their own voice, and estimate how it may perform based on their past results. It turns post history into a repeatable decision process, though it does not guarantee viral posts.
@akseolabs-seoDecision-first analysis for a finished Threads post: style matching, psychology analysis, algorithm alignment, upside drivers,…
@akseolabs-seoSelf-contained compound loop: read threads_skill_learnings.log, cluster the misses, propose concrete sub-skill rule edits, and…
@akseolabs-seoLaunch or prepare the optional local visual panel for AK-Threads-Booster. Use when the user asks for a dashboard, visual panel,…
@akseolabs-seoEstimate likely 24-hour post performance from the user's historical data. Use after the user writes a post and wants a range…
@akseolabs-seoRefresh threads_daily_tracker.json. Prefer the Threads API when available; fall back to authenticated browser profile scraping…
@akseolabs-seoPost-publish feedback loop: collect actual metrics, compare against predictions, update the tracker, refresh style conclusions…
@akseolabs-seoInitialize AK-Threads-Booster: import historical posts, normalize them into the tracker schema, auto-generate a personalized…
@akseolabs-seoMine insights from comments and historical data to recommend the next worthwhile topics. Trigger words: 'topics', 'topic', '選題',…
@akseolabs-seoCheck AK-Threads-Booster for upstream GitHub updates, safely fast-forward the local skill repo, or install an opt-in weekly Codex…
@akseolabs-seoDeep analysis of user's historical posts and comment replies to build a comprehensive Brand Voice profile. The more complete the…
@akseolabs-seoIs this you? Claim your profilePut a plugin at the top of Plugins, from $9
