codify-lessons

Codify session trial and error into persistent agent instructions and enforcement mechanisms.

Updated Apr 30, 2026

Search Tags:#automation #linting #debugging #workflow-optimization #agent-learning #codification

Ready to run

npx skills add https://github.com/kazukitcy/skills --skill codify-lessons

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: codify-lessons
Source: https://github.com/kazukitcy/skills/tree/main/codify-lessons
Command: npx skills add https://github.com/kazukitcy/skills --skill codify-lessons

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the problem of repeating the same mistakes or re-deriving the same solutions across different sessions by codifying hard-won insights into machine-enforced rules.

Core Features & Use Cases

Failure Analysis: Systematically pairs abandoned approaches with successful solutions to identify actionable lessons.
Automated Enforcement: Routes insights into the most effective tier, ranging from lint rules and runtime gates to repository scripts and instruction file updates.
Use Case: If you spent an hour debugging a specific API integration, this skill helps you capture the fix as a lint rule or instruction so that future agents avoid the same trap immediately.

Quick Start

Invoke the codify lessons skill to review the current conversation and propose improvements based on the trial and error encountered.

Frequently Asked Questions about codify-lessons

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

FAQPage Schema

How do I turn debugging trial and error into permanent agent rules?▼

Codifying session failures into permanent agent rules requires pairing abandoned approaches with successful solutions, then routing those insights into standardized lint rules, runtime gates, or repository scripts for automated enforcement.

How do I stop my workflow from repeating the same debugging mistakes across sessions?▼

To stop repeating debugging mistakes across sessions, you can codify hard-won insights into machine-enforced rules, transitioning improvised debugging into persistent agent instructions and repository scripts.

What is the best way to automate enforcement for software development workflow fixes?▼

Automating enforcement for workflow fixes involves routing codified lessons into the most effective tier, ranging from lint rules and runtime gates to repository scripts and instruction file updates.

Do I need reference files to codify session lessons into lint rules?▼

Yes, codifying session lessons into lint rules requires runtime-specific reference files to validate destination locations and perform mandatory deduplication checks before applying updates.

Can I use this to update agent instructions for API integration debugging?▼

Yes, you can capture API integration debugging fixes as instruction file updates or lint rules, ensuring future agents avoid the same trap immediately without re-deriving the solution.

What happens if deduplication checks fail when codifying agent instructions?▼

Deduplication checks are mandatory when codifying agent instructions; failing to validate destination locations with reference files risks duplicating existing rules rather than creating new enforcement mechanisms.