What problem does it solve?
Tracking what was published where, and how each post performed, becomes unmanageable when you publish to WeChat, Douyin, Bilibili, Xiaohongshu, Twitter/X and a dozen other platforms. This Skill centralizes all publish records and engagement metrics into one local SQLite database with per-platform tables.
Core Features & Use Cases
- Publish Recording: After any publish skill finishes, record the post with title, URL, content type, account alias, and automatic DNA linkage read from dna-meta.json, using upsert semantics keyed on source folder and publish date.
- Metrics Fetching and Updating: Automatically fetch engagement stats (plays, likes, comments, shares, favorites) for Bilibili, Douyin, and Kuaishou via HTTP APIs with cookie sessions, or manually backfill metrics supplied by the user.
- Query and Distribution Management: Query records per platform, check whether content was already published, list items pending distribution, and update distribution status.
- Use Case: After publishing a WeChat article and a Douyin video, record both into the database, then let the nightly heartbeat job fetch the latest play and like counts so the content-calibrator can evaluate DNA performance.
Quick Start
Ask the agent to initialize the published-track database and record the article you just published to WeChat with its URL.