ag-benchmark-qualidade
CommunityOrchestrate AI quality benchmarks with PDCA.
Authorandregusman-raiz
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Automates end-to-end QA benchmarking for AI outputs by coordinating dual-run comparisons, multi-score aggregation, and PDCA-based improvement cycles.
Core Features & Use Cases
- Dual-run comparison (app vs baseline) with triple scoring including L1/L2 rules and L3 judge jury.
- Parity-focused metrics across 8 dimensions to quantify relative quality.
- PDCA-based workflow to continuously update baselines, patterns, and learnings for ongoing improvement.
Quick Start
Provide a URL and optional scenario set to execute a full PDCA-based QAT benchmark against your AI app.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ag-benchmark-qualidade Download link: https://github.com/andregusman-raiz/a-gusman-claude/archive/main.zip#ag-benchmark-qualidade Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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