tweet-rl-tracker

What problem does it solve?

Notion-based tweet-performance tracking is often manual and fragmented. This skill provides a Notion-centric reinforcement-learning style loop to systematically log inputs (hook, topic, posting date) and outputs (likes, impressions, score), enabling rapid pattern discovery and iterative improvement.

Core Features & Use Cases

• Notion database for tweet performance: Create and update a structured database to capture key metrics.
• Poor man's reinforcement learning loop: A lightweight cycle for drafting, posting, logging, scoring, and reviewing results to improve future content.
• Screenshot capture with Chrome MCP: Automatically capture screenshots from tweet links (including 10-second video frames) and attach to records.
• Guided setup and experimentation: Step-by-step workflow for daily logging, weekly reviews, and monthly hypothesis testing.

Quick Start

Use the Notion-based tracker to create a Tweet Lab with a Tweets database and configure Chrome MCP for screenshot capture. Then add a sample tweet and log initial metrics to begin the learning loop.