skill-retro

Name: skill-retro
Availability: InStock
Author: NicoVIII

Analyze session transcripts to identify and patch skill instruction flaws.

Updated Jun 12, 2026

Search Tags:#automation #workflow #debugging #refactoring #optimization #maintenance

Ready to run

npx skills add https://github.com/NicoVIII/claude-config --skill skill-retro-nicoviii

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-retro
Source: https://github.com/NicoVIII/claude-config/tree/main/skills/skill-retro
Command: npx skills add https://github.com/NicoVIII/claude-config --skill skill-retro-nicoviii

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the accumulation of friction in automated workflows by systematically reviewing recent AI sessions to identify and patch flaws in skill instructions.

Core Features & Use Cases

Evidence-Based Refinement: Analyzes session transcripts to pinpoint skipped steps, ambiguous instructions, or recurring errors.
Maturity Management: Evaluates skill performance against historical logs to promote skills through maturity levels (WIP to Battle-tested).
Use Case: After running a complex deployment skill that required manual intervention, use this skill to analyze the transcript and automatically generate the necessary edits to the skill's instructions to prevent the same issue in future runs.

Quick Start

Invoke the skill-retro command to analyze the most recent skill execution in your current session and propose necessary improvements.

Frequently Asked Questions about skill-retro

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

FAQPage Schema

How do I identify operational friction in automated workflows from session transcripts?▼

To identify operational friction in automated workflows, you can analyze session transcripts to pinpoint skipped steps, ambiguous instructions, or recurring execution errors. This process systematically reviews recent AI sessions to locate flaws.

How can I automatically patch and refine skill instructions after manual intervention?▼

You can automatically patch and refine skill instructions by analyzing the execution transcript after manual intervention occurs. This generates evidence-based edits to the instruction sets, preventing the same issue in future automated runs.

What is skill maturity management and how does it track workflow optimization?▼

Skill maturity management evaluates automated workflow performance against historical logs to promote skills through maturity levels, such as from WIP to Battle-tested. It tracks optimization by comparing observed execution behavior to past performance.

Do I need historical skill logs to perform evidence-based workflow refactoring?▼

Yes, you need access to skill history logs and session transcripts to perform evidence-based workflow refactoring. These logs provide the necessary execution behavior data to generate accurate patches for skill maintenance and optimization.

What is the best way to resolve recurring errors in automated skill units?▼

The best way to resolve recurring errors in automated skill units is to analyze session transcripts for evidence of operational friction. This allows you to generate targeted patches that refine the instruction sets and eliminate repeated failures.

Can I use session transcripts to debug skipped steps in deployment automation?▼

Yes, you can use session transcripts to debug skipped steps in deployment automation. By analyzing the recorded execution behavior, you can identify exactly where the workflow deviated and generate the necessary instruction refinements.