meta-context-diet

Solid

Audit CLAUDE.md and .claude/rules for always-loaded content that should become an on-demand skill. Use when CLAUDE.md feels bloated, trimming context, or promoting a rule into a skill.

AI & Automation 48 stars 6 forks Updated today MIT

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Quality Score: 80/100

Stars 20%
56
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# meta-context-diet Audit always-loaded context — `CLAUDE.md` files and `.claude/rules/*.md` — for material that would be cheaper and clearer as an **on-demand skill**, then migrate approved candidates — per-candidate confirmation for lossy edits, batched approval for the safe ones. The premise: `CLAUDE.md` and unscoped rules are paid for on **every** turn. A skill costs only its `name` + `description` in the listing budget until its intent fires, then loads its body on demand. Anything that is *not* a hard, always-respected invariant is a candidate to move off the always-loaded surface. ## When to Use This Skill | Use this skill when... | Use a different skill when... | |---|---| | `CLAUDE.md` or `.claude/rules/` has grown heavy and you want to find what can move to on-demand skills | You want to move rules/skills *between scopes* (project → user-global) — use `meta-promote` | | A rule is really a procedure/workflow triggered by intent, not an always-true invariant, and should be a skill | You want to turn a finished session's learnings *into* new rules — use `session-distill` | | You want a per-item keep / path-scope / promote-to-skill / consolidate decision over the always-loaded surface | You want skill-to-skill overlap and split-pressure analysis — use `health-skill-audit` | | You suspect rules duplicate plugin skills already loaded for the session | You only want frontmatter/size hygiene on existing skills — use `scripts/plugin-compliance-check.sh` | ## Context - ...

Details

Author
laurigates
Repository
laurigates/claude-plugins
Created
7 months ago
Last Updated
today
Language
Shell
License
MIT

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