recommend-prune
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npx mdskill add lyndonkl/claude/recommend-pruneGenerate non-executable cleanup proposals for section maps.
- Identifies under-filled, stale, or overlapping content areas.
- Depends on drift audit flags and semantic overlap metrics.
- Applies heuristics for retirement, merging, and reassignment.
- Outputs structured lists with steelman counter arguments.
SKILL.md
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--- name: recommend-prune description: Recommends structural cleanups for the substacker section map — sections to retire, sections to merge, posts to reassign. Applies under-filled, stale, and overlapping heuristics. Writes proposals with reasons-to-reject (steelman counter). Does not execute. Use once per Curator run, after drift audit. Trigger keywords: prune, retire section, merge sections, reassign post, cleanup. --- # Recommend Prune ## Three cleanup categories 1. **Retire**: section with <2 posts added in 3 months AND no new cluster signal → candidate for retirement. 2. **Merge**: two sections whose promises overlap >60% semantically OR whose post-sets have >40% cross-fit → merge candidate. 3. **Reassign**: posts from `audit-drift` flagged as genuine-drift → suggest target section or move to `unassigned`. ## Workflow ``` Per Curator run: - [ ] Step 1: For each section, check retire conditions - [ ] Step 2: Cross-check section promises for merge candidates - [ ] Step 3: Collect reassignment candidates from drift audit - [ ] Step 4: For each proposal: write reasoning + reasons-to-reject - [ ] Step 5: Emit three lists (retire / merge / reassign) ``` ## Guardrails 1. Never delete. Only retire (mark status: retired, keep in map). 2. Never merge without the merge proposal fully visible in review artifact (both original promises preserved verbatim). 3. Never recommend pruning a provisional section in its first 2 cycles — give it probation time. 4. Reasons-to-reject are mandatory for every proposal. Writer needs the counter-argument pre-built.
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