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.