add-learning

Append durable agent lessons to .agents/learnings.md in structured bullet format.

92|7|Updated Dec 11, 2025
One-click install
npx skills add https://github.com/dannys-code-corner/incan --skill add-learning
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: add-learning
Source: https://github.com/dannys-code-corner/incan/tree/main/.agents/skills/add-learning
Command: npx skills add https://github.com/dannys-code-corner/incan --skill add-learning

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps teams capture and preserve durable, generalizable lessons learned by agents, preventing repeated mistakes.

Core Features & Use Cases

  • Structured learning entries: append concise bullets to .agents/learnings.md under the appropriate section.
  • Guided workflow: ensures learnings remain generalizable and not tied to a single feature.
  • Knowledge reuse: accelerates onboarding and cross-project learning by surfacing insights for future agents.

Quick Start

Add a new bullet to .agents/learnings.md describing the newly observed lesson following the existing section guidelines.

Frequently Asked Questions about add-learning

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

FAQPage Schema
How do I capture durable agent learnings for future reference?▼

To capture durable agent learnings, you record generalizable lessons as structured bullet points in a .agents/learnings.md file, adding new entries under the appropriate section while maintaining alphabetical or logical ordering for future reference.

What is the best way to prevent repeated mistakes across multiple agent projects?▼

Preventing repeated mistakes across projects requires preserving durable, generalizable lessons in a shared knowledge base. Recording these learnings in a structured .agents/learnings.md file surfaces insights for future agents and accelerates onboarding.

How do I structure retrospective knowledge entries for AI agents?▼

Structured learning entries for AI agents should be concise bullets appended to .agents/learnings.md under the appropriate section. The guided workflow ensures learnings remain generalizable and not tied to a single feature.

Does the agent learning capture workflow require specific dependencies?▼

The agent learning capture workflow requires no specific dependencies. It operates independently to enforce a structured bullet format in .agents/learnings.md, adding new entries under the appropriate section without external tools.

When should I not use a generalizable learning entry for agent interactions?▼

You should not use a generalizable learning entry when the observed lesson is tied to a single feature or specific project context. The workflow is designed to preserve durable, generalizable lessons that apply across projects for future reference.

How does the add-learning skill maintain organization in a knowledge base?▼

The add-learning skill maintains organization in a knowledge base by enforcing a structured bullet format in .agents/learnings.md, adding new entries under the appropriate section, and preserving alphabetical or logical ordering for future reference.