learn

Scan .commandcode/learnings, prune outdated entries, and export summaries to EXPORT_YYYYMMDD.md.

15|5|Updated May 17, 2026
One-click install
npx skills add https://github.com/cropsgg/skills --skill learn-cropsgg
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/cropsgg/skills/tree/main/skills/productivity/learn
Command: npx skills add https://github.com/cropsgg/skills --skill learn-cropsgg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Keeps a cumulative record of learnings across sessions to prevent repeating mistakes and friction.

Core Features & Use Cases

  • Cross-session pattern detection: identify recurring issues, fixes, and insights to streamline future work.
  • Aggressive pruning: remove outdated or conflicting learnings, flagging as [OUTDATED].
  • Knowledge export: generate concise, context-ready exports for upcoming sessions and knowledge bases.

Quick Start

Run an export by scanning .commandcode/learnings and saving to .commandcode/learnings/EXPORT_YYYYMMDD.md.

Frequently Asked Questions about learn

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

FAQPage Schema
How do I consolidate cross-session learnings into a reusable knowledge base?▼

Cross-session learnings are consolidated by scanning the .commandcode/learnings/ directory to detect recurring patterns and mistakes, then exporting a concise summary to preserve history for future work and auditing.

What is the best way to export a knowledge summary for an upcoming session?▼

Exporting a knowledge summary involves scanning existing learnings and generating a context-ready file saved as .commandcode/learnings/EXPORT_YYYYMMDD.md to inform upcoming project work.

How does pruning outdated memory entries work in a knowledge base?▼

Pruning outdated memory entries works by identifying conflicting or obsolete learnings, flagging them with an [OUTDATED] marker, and removing them to maintain a concise, reusable knowledge base.

Can I detect recurring mistakes and patterns across multiple project sessions?▼

Yes, recurring mistakes and patterns are detected by applying the consolidation process across multiple sessions on the same project, scanning accumulated learnings to identify issues and opportunities for improvement.

Do I need a specific directory structure to maintain cross-session learnings?▼

Yes, maintaining cross-session learnings requires a .commandcode/learnings/ directory to store entries, apply pruning with [OUTDATED] markers, and export dated markdown summaries for auditing.