tweet-rl-tracker_skill

Overview

This skill creates and manages a Notion-based tweet performance tracking system to implement a manual feedback loop for improving tweet quality over time. It includes automated tweet screenshot capture (including video frame capture at 10s) via Chrome DevTools MCP and a CLI-first workflow for adding entries to your Notion database. The system makes it easy to log inputs, measure outcomes, and run simple reinforcement-style experiments.

How this skill works

The tool sets up a Notion page and database with fields for tweet text, likes, impressions, calculated engagement score, hook type, topic, posted date, and optional media. A Chrome MCP workflow navigates to a tweet URL, extracts text/author/metrics, captures a screenshot (or a 10s video frame), uploads the image to an external host, and creates a Notion entry with the metadata and screenshot URL. Regular logging and weekly reviews reveal what hooks and topics perform best.

When to use it

• When you want to learn which tweet hooks and topics drive engagement
• To run simple, repeatable A/B-style experiments on tweet formats
• If you need a lightweight RL-like feedback loop without complex tooling
• When you want visual archives of tweets (screenshots or video frames)
• For teams or creators tracking growth, virality, or conversation metrics

Best practices

• Log tweets consistently after 24–48 hours to let metrics stabilize
• Decide hook type before posting and record it as an input feature
• Use the binary "Worked?" checkbox to simplify weekly analysis
• Group and filter by Hook and Topic during review sessions
• Host screenshots on a public file service (S3, Cloudinary) before adding to Notion

Example use cases

• A founder testing whether questions or bold claims get more replies
• A creator tracking which behind-the-scenes topics drive profile clicks
• A marketer measuring amplification rate for campaign tweets
• An analyst archiving tweet visuals and metadata for monthly hypothesis testing
• An agency running weekly reviews to advise content strategy