ai-friendly-arch-measure

Orchestrate registered metric skills to produce a unified aia_component_summary report.

52|3|Updated Feb 14, 2026

Search Tags:#automation #architecture #metrics #orchestration #registry #aia_component_summary

Ready to run

npx skills add https://github.com/ZTE-AICloud/Co-OmniSpec --skill ai-friendly-arch-measure

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ai-friendly-arch-measure
Source: https://github.com/ZTE-AICloud/Co-OmniSpec/tree/main/skills/ai-friendly-arch-measure
Command: npx skills add https://github.com/ZTE-AICloud/Co-OmniSpec --skill ai-friendly-arch-measure

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

AI teams often face fragmentation when evaluating codebase quality across multiple architecture metrics. ai-friendly-arch-measure provides a single entry point to orchestrate diverse metric skills and produce a unified aia_component_summary report.

Core Features & Use Cases

Unified registry-driven orchestration for multiple metrics.
Supports default, all, dimension-based, and explicit-skill execution modes.
Produces aia_component_summary JSON for CI integration and cross-dimension insights.

Quick Start

Run the orchestrator against your codebase to generate a complete aia_component_summary report.

Frequently Asked Questions about ai-friendly-arch-measure

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate architecture metrics measurement across a codebase in CI?▼

Orchestrate architecture metrics in CI by running a registry-driven meta-orchestrator that delegates measurements to leaf skills across your codebase. This produces a unified aia_component_summary report, aggregating cross-dimension insights automatically.

What is registry-driven orchestration for codebase architecture metrics?▼

Registry-driven orchestration is a mechanism that uses a meta-orchestrator to coordinate diverse metric skills registered as leaf components. It aggregates their multi-dimensional measurement results into a single structured artifact, solving fragmentation when evaluating codebase quality.

Can I run specific architecture metric skills instead of all metrics?▼

Yes, you can run specific architecture metric skills. The orchestrator supports default, all, dimension-based, and explicit-skill execution modes, allowing you to target specific dimensions or individual registered leaf skills rather than running the full suite.

How do I generate a unified architecture metrics report for cross-dimension insights?▼

Generate a unified architecture metrics report by running the orchestrator against your codebase. It aggregates multi-dimensional measurements from registered metric skills into an aia_component_summary JSON artifact, providing cross-dimension insights for audits or CI integration.

Does this architecture measurement tool require external dependencies?▼

No external dependencies are required. The architecture measurement tool operates independently through its internal scripts component, using a registry-driven meta-orchestrator to delegate metrics to registered leaf skills without needing external libraries.