extract-learnings-to-issues

name	extract-learnings-to-issues
description	Extract unstructured user reflections and learnings, distill core themes, route insights to existing GitHub issues as contextual comments rather than creating duplicates.
version	1.0.0

Extract Learnings to Issues

Convert unstructured user thoughts, reflections, and learnings into structured, actionable GitHub issue content that enhances existing issues rather than creating noise.

When to Use

• User shares random thoughts/workflow reflections and wants them "captured"
• User says "put this into issues" or "filter this to repos"
• Post-session learnings that should compound in the repo
• User wants their reflections to "straighten the twisted brain"

Pattern

Phase 1: Distill Themes

Parse the unstructured thoughts and extract core themes. Look for:

• Problems/gaps identified
• Insights about what works (secret sauce)
• Proposed improvements or next steps
• Metrics or evidence of problems
• Connections to existing work

Phase 2: Map to Existing Issues

CRITICAL: Before creating any new issues, search the existing landscape:

cd /mnt/local-analysis/workspace-hub

# Search by label categories
gh issue list --label cat:harness --state open --limit 10
gh issue list --label cat:platform --state open --limit 10
gh issue list --label domain:knowledge --state open -- 10


gh issue search  --state open -- 10


gh issue view  2>/dev/null