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deepwork_jobs.learn

Analyze DeepWork job conversation histories to extract learnings and update AGENTS.md.

1|Updated Jun 30, 2025
Search Tags:#learnings#knowledge-management#AGENTS.md#doc-spec#deepwork#job-instructions#instruction-improvement
One-click install
npx skills add https://github.com/EONMUN/EONMUN --skill deepwork-jobs-learn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deepwork_jobs.learn
Source: https://github.com/EONMUN/EONMUN/tree/main/.claude/skills/deepwork_jobs.learn
Command: npx skills add https://github.com/EONMUN/EONMUN --skill deepwork-jobs-learn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes conversation histories from DeepWork job executions to extract learnings and improve future instructions.

Core Features & Use Cases

  • Analyze conversation history for DeepWork job executions to surface learnings and actionable improvements.
  • Update generalizable instruction files to guide future runs and reduce repeated issues.
  • Capture bespoke learnings in AGENTS.md within the deepest common folder for the topic, ensuring context is preserved for future work.
  • Reference related doc-spec improvements where applicable to keep documentation aligned with practice.

Quick Start

Run the learn command after completing a DeepWork job to generate a focused AGENTS.md with run-specific insights and improvements. Review the resulting file and integrate any referenced changes into the relevant instruction files. Ensure the AGENTS.md resides in the deepest common folder to maintain future-access context.

Frequently Asked Questions about deepwork_jobs.learn

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

FAQPage Schema
How do I extract learnings from job execution conversation histories to improve instructions?▼

To extract learnings from conversation histories, analyze DeepWork job executions to surface actionable insights, then update generalizable instruction files to guide future runs and reduce repeated operational issues.

What is an AGENTS.md file used for in knowledge management?▼

An AGENTS.md file captures bespoke learnings and run-specific insights within the deepest common project folder, ensuring context is preserved and accessible for future work on that topic.

How to update doc-spec files based on post-run refinement from job instructions?▼

Update doc-spec files by referencing related improvements identified during conversation analysis, keeping documentation aligned with practice and syncing changes back to the repository after post-run refinement.

When should I run a learning capture workflow for DeepWork job executions?▼

Run a learning capture workflow after completing a DeepWork job execution to generate a focused AGENTS.md, extract run-specific insights, and apply generalizable improvements to instruction files.

Does capturing run-specific insights require updating generalizable instruction files?▼

Capturing run-specific insights separates bespoke notes into AGENTS.md, while generalizable improvements update instruction files, ensuring recurring issues are addressed without overfitting instructions to a single run.

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