ag-learn

Summarize and persist agent session learnings into a durable log.

21|Updated Jan 3, 2026
One-click install
npx skills add https://github.com/kevinslin/skills --skill ag-learn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ag-learn
Source: https://github.com/kevinslin/skills/tree/main/active/ag-learn
Command: npx skills add https://github.com/kevinslin/skills --skill ag-learn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Consolidates insights from the current and prior agent sessions into a durable learnings log to drive continuous improvement and reduce repeated mistakes.

Core Features & Use Cases

  • Time-bounded reviews across single or multiple sessions to surface mistakes, uncertainties, and optimization opportunities.
  • Routing learnings to skills, AGENTS.md, repository docs, or personal workflows to guide future work.
  • Persisting syntheses into a durable learnings log for audit and replay.

Quick Start

Ask me to run the default learn cycle on the current session to generate a concise improvement report.

Frequently Asked Questions about ag-learn

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

FAQPage Schema
How do I consolidate learnings from LLM agent sessions into a durable log?▼

Consolidating learnings from LLM agent sessions involves summarizing insights and persisting them into a durable log to drive continuous improvement and reduce repeated mistakes across workflows.

How does session reflection identify mistakes and optimization opportunities?▼

Session reflection identifies mistakes and optimization opportunities by applying time-bounded reviews across single or multiple sessions to surface uncertainties and route learnings to skills or repository docs.

What is the best way to audit agent workflows for continuous improvement?▼

Auditing agent workflows for continuous improvement requires summarizing session data, persisting syntheses into a durable learnings log, and generating rollup reports to guide future work.

Can I apply learnings from previous sessions to improve future LLM outputs?▼

Yes, you can apply learnings from previous sessions to single-session or multi-session windows to identify past mistakes and route insights to personal workflows for optimizing future LLM outputs.

Does session learning require specific file naming conventions for audit logs?▼

Yes, ensuring output conforms to required file naming and rollup reporting is necessary when persisting syntheses into a durable learnings log for audit and replay purposes.

When should I not use automated session reflection for workflow improvement?▼

Automated session reflection is not ideal when lacking sufficient session data, as time-bounded reviews require multiple sessions to effectively surface mistakes, uncertainties, and optimization opportunities.