learnings

Manage a structured learnings database for corrections, preferences, and learned information.

1|Updated Dec 1, 2016

Search Tags:#knowledge management #recall #learnings #preferences #capture #corrections

Ready to run

npx skills add https://github.com/aaron-vaz/dotfiles --skill learnings-aaron-vaz

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: learnings
Source: https://github.com/aaron-vaz/dotfiles/tree/main/opencode/.opencode/skills/learnings
Command: npx skills add https://github.com/aaron-vaz/dotfiles --skill learnings-aaron-vaz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you remember corrections, preferences, and learned information to avoid repeating mistakes and improve efficiency.

Core Features & Use Cases

Capture Corrections: Immediately save feedback you receive.
Manage Preferences: Record your preferred ways of working.
Query Knowledge: Search past learnings to inform current tasks.
Use Case: After being corrected on a configuration path, you can capture this information so you don't forget it for future reference.

Quick Start

Use the learnings skill to capture the last correction you received.

Frequently Asked Questions about learnings

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

FAQPage Schema

How do I capture corrections and feedback so I don't repeat mistakes?▼

You can capture corrections by saving feedback into a structured learnings database, which records detailed context and tags to prevent repeating the same mistakes in future tasks.

What is the best way to manage and recall preferences for software engineering projects?▼

Managing preferences is best handled by recording your preferred ways of working into a structured learnings database, allowing you to query past preferences to inform current project tasks.

How does a knowledge management database for learned information work?▼

A knowledge management database works by storing learned information with detailed context, corrections, and tags, enabling you to search and query past entries to retrieve relevant knowledge on demand.

Can I search and query past learnings entries by tags and context?▼

Yes, you can search and query past learnings entries using detailed context and tags, allowing you to quickly retrieve specific corrections or preferences to apply to your current work.

When do I need a structured system to capture learned information?▼

You need a structured system to capture learned information when you frequently receive corrections or feedback, ensuring you can record and query preferences to avoid repeating past mistakes.