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agent-learnings-agent

Capture and classify session learnings into LRN or KNW entries in .agentic/learnings.md.

12|1|Updated Apr 7, 2026
Search Tags:#automation#logging#learning#agent#memory#session-management#deduplication
One-click install
npx skills add https://github.com/Space-Dinosaurs/DinoStack --skill agent-learnings-agent
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-learnings-agent
Source: https://github.com/Space-Dinosaurs/DinoStack/tree/main/.openclaw/skills/agent-learnings-agent
Command: npx skills add https://github.com/Space-Dinosaurs/DinoStack --skill agent-learnings-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Session-scoped learnings capture for AI-assisted workflows. This agent records learning events and classifies them as LRN (bug-fix) or KNW (knowledge), writing structured entries to .agentic/learnings.md and optionally to MEMORY.md, enabling knowledge reuse across tasks while enforcing dedup and soft-fail semantics.

Core Features & Use Cases

  • Spawns once per session and remains active, listening for mandatory trigger events and producing learnings.
  • Writes LRN/KNW entries using a canonical schema and optionally updates MEMORY.md for project-affecting facts.
  • Deduplicates similar entries, caps total learnings per session, and soft-fails on errors to keep the conductor responsive.

Quick Start

Trigger a learning event to start capturing a session's learnings and writing entries to .agentic/learnings.md.

Frequently Asked Questions about agent-learnings-agent

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

FAQPage Schema
How do I capture session learnings for AI-assisted workflows?▼

Session learnings are captured by triggering a learning event, which spawns a background agent that classifies entries as LRN or KNW and appends them to .agentic/learnings.md for reuse.

How does deduplication work for session memory management?▼

Deduplication for session memory management works by comparing new learning entries against existing ones in .agentic/learnings.md, preventing redundant records while enforcing a cap on total learnings per session.

What is the difference between LRN and KNW entries in learnings.md?▼

LRN entries capture bug-fix learnings while KNW entries record general knowledge, both formatted using a canonical schema to structure project-affecting facts for AI session reuse.

Can I automatically update MEMORY.md with project-affecting facts from a session?▼

Yes, the agent optionally updates MEMORY.md with project-affecting facts classified during the session, writing structured entries alongside the primary .agentic/learnings.md file.

What happens when the learning agent encounters errors during session management?▼

When the learning agent encounters errors during session management, it uses soft-fail semantics to keep the conductor responsive, preventing capture failures from blocking the active workflow.

Do I need conductor events to start logging learnings in the background?▼

Yes, conductor events are required as the agent reads mandatory trigger events to spawn once per session, listening for learnings and writing structured entries to the learnings.md file.

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