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skill-optimizer

skill-optimizer is an agent skill published by mcollina, listed under review & testing. It lives in the mcollina/skills repository, which has 1,960 GitHub stars and is licensed under MIT; we last read it on 2026-09-16.

Optimizes AI skills for activation, clarity, and cross-model reliability. Use for 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.

Install

skills is a generic installer for any repository of Claude agent skills -- it reads mcollina/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.

npx skills add mcollina/skills

Maintenance

Stars
1960
State
listed
Licence
MIT
From the repository

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.

skill-optimizer compared with similar skills

skill-optimizer compared with other skills for the same job, by publisher, what it does, repository stars and last update
SkillPublisherWhat it doesRepo starsLast update
skill-optimizer (this page)mcollinaOptimizes AI skills for activation, clarity, and cross-model reliability. Use when creating or editing skill…1,9602026-10-18
fastify-best-practices(same repository)mcollinaGuides development of Fastify Node.js backend servers and REST APIs using TypeScript or JavaScript. Use when…1,9602026-10-18
linting-neostandard-eslint9(same repository)mcollinaConfigures ESLint v9 flat config and neostandard for JavaScript and TypeScript projects, including migrating…1,9602026-10-18
code-reviewmattpocockReview the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does t…303,5492026-10-22
scaffold-exercisesmattpocockCreate exercise directory structures with sections, problems, solutions, and explainers that pass linting. Us…303,5492026-10-22
tddmattpocockTest-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-gree…303,5492026-10-22
webapp-testinganthropicToolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend…183,8452026-10-09

Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.

Common questions about skill-optimizer

What does skill-optimizer do?
Optimizes AI skills for activation, clarity, and cross-model reliability. Use for 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.
How do I install skill-optimizer?
Run npx skills add mcollina/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
Who publishes skill-optimizer?
mcollina.
Is skill-optimizer maintained, and what licence does it use?
Its repository has 1,960 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-18. The repository declares the MIT licence.

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