zte-maturity

Score 12 leverage points to classify Zero Touch Engineering maturity into 4 levels.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/CleanExpo/Pi-Dev-Ops --skill zte-maturity
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zte-maturity
Source: https://github.com/CleanExpo/Pi-Dev-Ops/tree/main/skills/zte-maturity
Command: npx skills add https://github.com/CleanExpo/Pi-Dev-Ops --skill zte-maturity

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns vague claims about automation into a strict, evidence-based Zero Touch Engineering (ZTE) maturity score.

Core Features & Use Cases

  • 4-level maturity assessment: Evaluates systems from MANUAL to ZERO TOUCH using a consistent scoring rubric.
  • 12 leverage points scoring (1–5 each): Produces an itemized breakdown across spec quality, context precision, routing, tools, feedback loops, and more.
  • Evidence strictness: Scores 5 only when there is clear code evidence of full implementation, reducing overestimation risk.

Quick Start

Ask your AI to score a repository’s ZTE maturity using the 12 leverage points rubric and provide the final level plus a strict evidence-backed justification for each dimension.

Frequently Asked Questions about zte-maturity

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

FAQPage Schema
What is Zero Touch Engineering maturity and how is it measured?

Zero Touch Engineering maturity is measured by scoring 12 leverage points across a MANUAL-to-ZERO-TOUCH spectrum. It evaluates engineering workflows for automation, triggers, and deployment loops, producing a 4-level classification based on strict evidence requirements.

How do I assess automation maturity in my continuous delivery workflow?

Assess continuous delivery automation by scoring 12 leverage points across your engineering workflow. The rubric evaluates evaluator gates, session continuity, triggers, and deployment loops, requiring strict code evidence to validate full implementation and calculate a 4-level maturity score.

Can I use evidence-based review to prevent overestimating my engineering automation?

Evidence-based review prevents automation overestimation by enforcing strict evidence requirements. Leverage points only score a 5 when clear code evidence proves full implementation, grounding the MANUAL-to-ZERO-TOUCH maturity classification in verifiable engineering workflow data.

Does the ZTE maturity assessment require code evidence for evaluator gates?

The ZTE maturity assessment requires clear code evidence for evaluator gates. To achieve a score of 5 on any of the 12 leverage points, full implementation must be proven with code evidence, ensuring the final 4-level maturity classification is strictly validated.

What are the 12 leverage points evaluated during ZTE maturity scoring?

The 12 leverage points evaluated during ZTE maturity scoring include spec quality, context precision, routing, tools, feedback loops, session continuity, triggers, and deployment loops. Each is scored 1 to 5 to determine the final 4-level maturity classification.

How do I get a per-dimension score with rationale for my engineering workflow?

Obtain per-dimension scores with rationale by applying the 12 leverage points rubric to your engineering workflow. The assessment produces an itemized breakdown across automation dimensions, enforcing strict evidence requirements for each score and outputting a final 4-level maturity level.