learn

Extract mistakes from conversations and update .config/rules.md with generalized rules.

20|1|Updated Nov 12, 2024

Search Tags:#improvement #postmortem #conversations #rules #learn #mistakes #config-update

Ready to run

npx skills add https://github.com/igor9silva/meseeks --skill learn-igor9silva

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/igor9silva/meseeks/tree/main/.cursor/skills/learn
Command: npx skills add https://github.com/igor9silva/meseeks --skill learn-igor9silva

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill analyzes conversations to identify mistakes, generalizes them into actionable rules, and updates the project rules file to prevent recurrence.

Core Features & Use Cases

Mistake extraction: Scans conversations to detect when the user or model erred.
Rule generalization: Transforms specific mistakes into broad, reusable guidelines.
Ruleset maintenance: Updates .config/rules.md with the new lessons and guidance.
Use Case: After a tricky chat, run Learn to formalize the issue into an updateable rule and improve future responses.

Quick Start

Provide the conversation transcript to the Learn skill to extract lessons and apply them to the rules. Review the proposed updates and confirm to apply them to .config/rules.md.

Frequently Asked Questions about learn

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

FAQPage Schema

How do I extract lessons from chat transcripts to update project guidelines?▼

Extracting lessons from chat transcripts involves analyzing dialogue to identify mistakes and generalizing them into actionable rules. You provide the conversation, review the proposed rules, and apply them to update your project guidelines file.

What is the best way to automate postmortem ruleset maintenance from conversations?▼

Automating postmortem ruleset maintenance is done by scanning dialogue-heavy transcripts to detect errors, generalizing them into reusable guidelines, and directly updating the rules.md configuration file to prevent future recurrence.

Can I formalize workflow mistakes into reusable rules without manual coding?▼

You can formalize workflow mistakes into reusable rules without manual coding by feeding conversation transcripts into an analyzer that derives generalized guidelines and automatically patches your rules configuration file.

Does mistake extraction require a human review step before updating the rules file?▼

Mistake extraction includes a human review step when needed, allowing you to verify the generalized rules derived from the conversation before they are confirmed and applied to the rules.md file.

How do generalization techniques handle specific dialogue errors for ongoing improvement tasks?▼

Generalization techniques handle specific dialogue errors by transforming isolated incidents into broad, reusable guidelines that codify lessons learned, ensuring ongoing improvement tasks systematically update project rules.