Skill Optimizer
by mcollina72b727514771No licenseListed Oct 8, 2026Updated Oct 8, 2026
Optimizes AI skills for activation, clarity, and cross-model reliability. Use when creating or editing skill packs, diagnosing weak skill uptake, reducing regressions, tuning instruction salience, improving examples, shrinking context cost, or setting benchmark/release gates for skills. Trigger terms: skill optimization, activation gap, benchmark skill, with/without skill delta, regression, context budget, prompt salience.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| rules/activation-design.md | 1.2 KB | text/markdown |
| rules/benchmark-loop.md | 1.1 KB | text/markdown |
| rules/context-budget.md | 1 KB | text/markdown |
| rules/regression-triage.md | 1.1 KB | text/markdown |
| rules/release-gates.md | 963 B | text/markdown |
| SKILL.md | 2.3 KB | text/markdown |
| tile.json | 605 B | application/json |
Source and attribution
Source:mcollina/skillsinskills/skill-optimizerat commit72b7275
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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