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* docs: cap prose paragraphs at 3 sentences and clarify token budgets CLAUDE.md constrained prose only at whole-file granularity, with three conflicting per-SKILL.md token numbers and a "why" pattern that tempted a second sentence per rule. Add a per-paragraph sentence cap, a budget table clarifying which number measures what, and a mechanical checker (scripts/check_prose_density.py) wired into the "After updating a skill" checklist so verbose paragraphs get caught instead of only whole-file token/line counts. * docs: rewrite prose paragraphs over the new 3-sentence density cap CLAUDE.md now caps standalone prose paragraphs at 3 sentences (scripts/check_prose_density.py). Running it across every skill found 62 flagged paragraphs in 31 skills, dominated by a recurring "library disclaimer" paragraph repeated near-verbatim across 17 library-specific skills. Restructure each flagged paragraph into bullets, a table, or a tightened sentence per CLAUDE.md's Formats guidance, preserving every fact, URL, and cross-reference. Re-scanning the full repo now reports 0 flagged paragraphs across all skills. Bump each touched skill's metadata.version by one patch version. Update README token counts for the 31 touched skills to match. * docs: drop the prose-density checker script The script added mechanical enforcement but no CI wiring, so it never ran anywhere but ad hoc. Keep the 3-sentence prose cap and the clarified token-budget table in CLAUDE.md; drop the script and its two call-outs, renumbering the "After updating a skill" checklist back to a contiguous sequence.
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4 lines
57 B
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/*-workspace/
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.worktrees/
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.claude/worktrees/
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__pycache__/ |