retro

Analyze skill usage logs to rank frequency and identify unused skills.

6|Updated Jan 16, 2026
One-click install
npx skills add https://github.com/kok1eee/o-m-cc --skill retro-kok1eee
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: retro
Source: https://github.com/kok1eee/o-m-cc/tree/main/skills/retro
Command: npx skills add https://github.com/kok1eee/o-m-cc --skill retro-kok1eee

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps plugin maintainers and teams understand which skills are actually used, detect unused or rarely used skills, and provide evidence-based recommendations for improvement or removal to keep the skill set maintainable.

Core Features & Use Cases

  • Usage Frequency Ranking: Reads aggregated usage logs and ranks skills by invocation count to show which skills drive value.
  • Recent Activity Snapshot: Extracts the last 7 days of activity and task-creation metrics to spot trends and regressions.
  • Actionable Recommendations: Identifies never-used or low-use skills and suggests description/triggers improvements or candidates for deletion to streamline the plugin.
  • Use Case: Periodic maintenance run to produce a checklist for product owners deciding which skills to optimize, document, or retire.

Quick Start

Run the retro skill to analyze skill-usage.log and receive frequency rankings, unused-skill flags, and improvement suggestions.

Frequently Asked Questions about retro

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze plugin runtime logs to find unused skills?

To analyze plugin runtime logs for unused skills, aggregate timestamped log entries from skill-usage logs to produce ranked counts. This identifies never-used or low-use skills to flag for removal.

Can I generate a weekly snapshot of skill usage frequency from log files?

Yes, you can generate a weekly snapshot of skill usage frequency by applying recent-window filters to timestamped log entries. This extracts the last seven days of activity to spot trends and regressions.

What is the best way to recommend description edits for rarely used skills?

The best way to recommend description edits is by analyzing task-creation counts and invocation frequencies. Evidence-based recommendations identify low-use skills needing trigger improvements or deletion.

Does retrospective log analysis work with full-history aggregations of skill invocations?

Retrospective log analysis works with full-history aggregations by reading aggregated usage logs and ranking skills by total invocation count. This shows which skills drive value over time.

How do I count task creation metrics from CLAUDE_PLUGIN_DATA logs?

To count task creation metrics from CLAUDE_PLUGIN_DATA logs, aggregate timestamped log entries and apply filters to extract task-creation counts. This produces a checklist for product owners.

When should I remove skills from my plugin based on usage logs?

You should remove skills from your plugin when usage logs show zero invocations during full-history aggregations and weekly snapshots. This keeps the skill set maintainable.