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agent-learning-extractor

Extract generalizable learnings from Skeptic findings_log into .agentic/learnings.md with ticket attribution.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill reads the resolved Skeptic findings_log from a just-completed ticket cycle and extracts generalizable, durable learnings to enrich the project knowledge base at .agentic/learnings.md, enabling knowledge reuse across future tickets.

Core Features & Use Cases

  • Identify generalizable patterns from Skeptic findings that can apply to multiple tickets.
  • Append durable learnings to .agentic/learnings.md with clear attribution to the originating ticket and the merged_diff references.
  • Enforce an append-only, deduplicated knowledge surface with soft-fail handling for errors to maintain workflow resilience.

Quick Start

Run the learning-extractor at Phase 6 clean exit to generate LRN entries for the ticket.

Frequently Asked Questions about agent-learning-extractor

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

FAQPage Schema
How do I extract durable learnings from resolved ticket findings for a knowledge base?▼

Extract durable learnings by identifying generalizable patterns from resolved findings and appending LRN entries to .agentic/learnings.md with attribution to the originating ticket_id and source diffs.

What is the best way to reuse software engineering learnings across multiple tickets?▼

Reuse software engineering learnings by appending generalizable patterns to an append-only, deduplicated knowledge base, enabling cross-ticket knowledge reuse for future development cycles.

How do I automate knowledge base updates from Skeptic findings logs after a ticket cycle?▼

Automate knowledge base updates by processing the resolved Skeptic findings_log at Phase 6 clean exit, extracting durable learnings and appending them to .agentic/learnings.md.

Does the learning extractor skip non-generalizable findings from ticket diffs?▼

Yes, the learning extractor skips non-generalizable findings, processing only durable patterns that apply to multiple tickets while soft-failing gracefully with a clear reason if errors occur.

What happens when the learning extractor encounters an error during findings processing?▼

When encountering an error during findings processing, the learning extractor gracefully soft-fails with a clear reason, maintaining workflow resilience and producing a JSON result on completion.

Can I append deduplicated learnings to an existing knowledge base without overwriting entries?▼

Yes, you can append deduplicated learnings to .agentic/learnings.md using an append-only approach, enforcing a deduplicated knowledge surface that preserves existing entries while adding new LRN entries.

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