rrq-retro
CommunityLearn from video performance, improve future content.
Content & Communication#content strategy#knowledge management#performance review#video analysis#ai synthesis#post-publish analysis
AuthorGunjanGrunge
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the analysis of video performance after publication, extracting lessons to improve future content strategy and avoid repeating mistakes.
Core Features & Use Cases
- Automated Performance Monitoring: Tracks key metrics like CTR, retention, and geo performance for 7 days post-publish.
- AI-Driven Synthesis: Uses advanced AI (Claude Opus 4) to synthesize agent reviews into actionable lessons.
- Knowledge Archiving: Stores lessons in a searchable index for future reference.
- Use Case: After a video is published, this Skill automatically monitors its performance, identifies what worked and what didn't, and writes a permanent lesson into a knowledge base, ensuring the team continuously learns and improves.
Quick Start
Initiate the rrq-retro skill to analyze the performance of video ID '12345'.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: rrq-retro Download link: https://github.com/GunjanGrunge/rrq/archive/main.zip#rrq-retro Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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