·system-reviewer
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system-reviewer

adaptationio/skrillz

Review the skill development ecosystem itself - assess ecosystem health, identify systemic issues, evaluate toolkit effectiveness, and recommend system-level improvements. Task-based operations for ecosystem assessment, toolkit evaluation, process review, and system optimization. Use when evaluating ecosystem health, identifying systemic improvements, optimizing the toolkit itself, or conducting meta-level ecosystem reviews.

5Installs·0Trend·@adaptationio

Installation

$npx skills add https://github.com/adaptationio/skrillz --skill system-reviewer

SKILL.md

system-reviewer performs meta-level reviews of the skill development ecosystem itself, assessing the health and effectiveness of the entire system rather than individual skills.

Purpose: Assess overall ecosystem quality, completeness, and consistency

Purpose: Evaluate how well the development toolkit enables skill building

Review the skill development ecosystem itself - assess ecosystem health, identify systemic issues, evaluate toolkit effectiveness, and recommend system-level improvements. Task-based operations for ecosystem assessment, toolkit evaluation, process review, and system optimization. Use when evaluating ecosystem health, identifying systemic improvements, optimizing the toolkit itself, or conducting meta-level ecosystem reviews. Source: adaptationio/skrillz.

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Facts (cite-ready)

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Install command
npx skills add https://github.com/adaptationio/skrillz --skill system-reviewer
Category
</>Dev Tools
Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is system-reviewer?

Review the skill development ecosystem itself - assess ecosystem health, identify systemic issues, evaluate toolkit effectiveness, and recommend system-level improvements. Task-based operations for ecosystem assessment, toolkit evaluation, process review, and system optimization. Use when evaluating ecosystem health, identifying systemic improvements, optimizing the toolkit itself, or conducting meta-level ecosystem reviews. Source: adaptationio/skrillz.

How do I install system-reviewer?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/adaptationio/skrillz --skill system-reviewer Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/adaptationio/skrillz