Agent skill · Data & Analytics

skill-optimizer

Diagnose and optimize Agent Skills (SKILL.md) with real session data and research-backed static analysis. Works with Claude Code, Codex, and any Agent Skills-compatible agent.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill skill-optimizer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 12 KB
Bundled scripts: none
Path: skills/skill-optimizer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## When to Use This Skill - Use when skills are not triggering as expected or seem broken - Use when you want to audit and improve your skill library's quality - Use when you want to understand which skills are underperforming or wasting context tokens ## Rules - **Read-only**: never modify skill files. Only output report. - **All 8 dimensions**: do not skip any. If data is insufficient, report "N/A — insufficient session data" rather than omitting. - **Quantify**: "you had 12 research tasks last week but the skill never triggered" beats "you often do research". - **Suggest, don't prescribe**: give specific wording suggestions for description improvements, but frame as suggestions. - **Show evidence**: for undertrigger claims, quote the actual user message that should have triggered the skill. - **Evidence-based suggestions**: when suggesting description rewrites, cite the specific research finding that motivates the change (e.g., "front-load trigger keywords — MCP study shows 3.6x selection rate improvement"). ## Overview Analyze skills using **historical session data + static quality checks**, output a diagnostic report with P0/P1/P2 prioritized fixes. Scores each skill on a 5-po

What's inside
Steps it walks through
  1. When to Use This Skill
  2. Rules
  3. Overview
  4. Usage
  5. Data Sources
  6. Workflow
  7. Step 1: Identify Target Skills
  8. Step 2: Collect Session Data
  9. Step 3: Run 8 Analysis Dimensions
  10. Step 4: Composite Score
  11. Report Format
  12. Research Background
  13. Limitations
More from agentic-awesome-skills
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About this skill
What does the skill-optimizer skill do?

Diagnose and optimize Agent Skills (SKILL.md) with real session data and research-backed static analysis. Works with Claude Code, Codex, and any Agent Skills-compatible agent.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill skill-optimizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going