skill-optimizer agent skill by mcollina
Optimizes AI skills for activation, clarity, and cross-model reliability, including diagnosing weak skill uptake, shrinking context cost, and setting benchmark and release gates.
At a glance
| Publisher | mcollina |
|---|---|
| Repository | mcollina/skills (11 listed skills) |
| Category | AI Agents and LLM Engineering |
| License | MIT |
| Last commit | October 18, 2026 (repository) |
| SKILL.md | 40 lines, 230 words |
| Bundled files | 7 files |
| Quality score | 74/100 · C Passes all seven graded checks |
| Security scan | Not scanned |
| README badge | Get the listing badge and raise the score |
Before you install
Read from the skill's files at the directory's October 19, 2026 snapshot: what ships with it, what its code reads, and the terms it is published under.
- Bundled scripts: none.
- License: MIT, an open-source or open-content license.
Install skill-optimizer
The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.
npx skills add https://github.com/mcollina/skills/tree/main/skills/skill-optimizertmp="$(mktemp -d)"
git clone --depth 1 https://github.com/mcollina/skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/skill-optimizer .claude/skills/
rm -rf "$tmp"python3 ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py \
--repo mcollina/skills \
--path skills/skill-optimizermcollina/skills is third-party code. Read SKILL.md and any bundled scripts before you install it.
How the author describes it
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.
From the description field of SKILL.md. Agents read this line to decide when to load the skill.
Sections in SKILL.md
- When to use
- Optimization loop (default workflow)
- How to use
- Practical heuristics
Files in the skill folder
SKILL.mdrules/activation-design.mdrules/benchmark-loop.mdrules/context-budget.mdrules/regression-triage.mdrules/release-gates.mdtile.json
Suede Skill Check: 74/100 · C
Report snapshot · · graded-v2
The rubric totals 100 points; published scores are capped at 99. Security scan: not scanned.
Source revision: c75d70dbfbe9. Report version 49e2cda29c17. Badge URLs follow the latest listing; save the report to keep this version.
Download report · Request a fresh review
What to review next
- Instruction depth: 1 of 7 points. 7 for a SKILL.md body of 500–3,000 words; 4 for 250–4,500; 1 for 100 or more.
- Boundary clause: 0 of 4 points. 4 when the description says when not to use the skill (“Not for …”, “Do not use …”, “Use … instead”).
- Example request: 0 of 3 points. 3 when the description quotes an example request (3–60 characters in quotation marks).
Add declarations and bundled files when they describe the skill’s actual needs. Update the source, then request a fresh review with the changed commit or PR.
skill-optimizer passes the required frontmatter check and all seven graded checks, which cover the SKILL.md format, a declared license and a commit in the last year. Those checks earn 56 of the score’s points; the rest come from description quality, instruction depth, bundled files, maintenance and curated-list citations. How the score works.
See the checks and points
| Check | Result |
|---|---|
| Frontmatter parses and declares a name and a description | Pass |
| Name uses lowercase letters, digits and hyphens, 64 characters or fewer | Pass |
| Name matches the skill's folder name | Pass |
| Description is between 50 and 1,024 characters | Pass |
| Description says when an agent should use the skill | Pass |
| SKILL.md body is 500 lines or fewer | Pass |
| A license is declared in the frontmatter or the repository | Pass |
| Repository has a commit in the last 12 months | Pass |
| Score component | Points |
|---|---|
| Structural checks | 56 of 56 |
| Description length | 5 of 5 |
| Boundary clause | 0 of 4 |
| Example request | 0 of 3 |
| Instruction depth | 1 of 7 |
| Reference files | 0 of 3 |
| Bundled scripts | 0 of 2 |
| Recent maintenance | 9 of 9 |
| Curated-list citations | 3 of 7 |
| Tool permissions declared | 0 of 2 |
| Compatibility declared | 0 of 2 |
Show the listing and raise the score
skill-optimizer is listed with 74/100 · C. This badge links to its Suede listing. Skills scoring 80–99 add a numeric and a letter quality shield; the largest open points for skill-optimizer are instruction depth (6), boundary clause (4) and example request (3). Send your repository and the points you want to raise, then request a fresh review after updating the skill.
[](https://skills.suedeai.ai/directory/mcollina/skills/skill-optimizer/)<a href="https://skills.suedeai.ai/directory/mcollina/skills/skill-optimizer/"><img src="https://skills.suedeai.ai/directory/badge.svg" alt="Suede Skills Directory: listed" height="20"></a>Where this skill is cited
mcollina/skills appears in 2 curated lists: VoltAgent/awesome-agent-skills, heilcheng/awesome-agent-skills.