@mcollina/skill-optimizer
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.
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Bill of Materials
Everything this skill can do — files, network, commands, and more.
No demos yet. To add one, ask your AI agent: "Submit a demo for @mcollina/skill-optimizer" — or upload via the API.
To add a demo, ask your AI agent: "Submit a demo for @mcollina/skill-optimizer"
No eval data yet. Eval results are published via the SkillSafe API.