audit-workflow

Compare installed tools against WORKFLOW.md to report dev loop gaps.

2|Updated Jun 15, 2026
One-click install
npx skills add https://github.com/mattbutlerengineering/ai-tooling --skill audit-workflow-mattbutlerengineering
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: audit-workflow
Source: https://github.com/mattbutlerengineering/ai-tooling/tree/main/plugin/skills/audit-workflow
Command: npx skills add https://github.com/mattbutlerengineering/ai-tooling --skill audit-workflow-mattbutlerengineering

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Audit and align your AI toolset with the recommended dev loop to uncover gaps, redundancies, and misalignments that hinder delivery.

Core Features & Use Cases

  • Gap-spotting: compares installed tools against the WORKFLOW.md guidance to surface missing or redundant items.
  • Coverage mapping: identifies coverage across inner and outer loop stages and cross-cutting signals.
  • Actionable report: outputs a prioritized plan to fix gaps in tooling and process.

Quick Start

Run the audit to compare your installed tools with the recommended dev loop and produce a gap report.

Frequently Asked Questions about audit-workflow

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

FAQPage Schema
How do I audit my AI tooling for gaps in the development loop?

A gap analysis audit compares your installed AI-assisted tooling against recommended workflow stages. It surfaces missing or redundant items across inner loop phases like Plan, Implement, and Ship to improve delivery alignment.

What is AI workflow gap analysis for software engineering environments?

AI workflow gap analysis is a process that maps your current tool coverage against recommended development loop stages. It identifies misalignments and redundancies in your AI-assisted toolset to produce a prioritized plan for fixing process gaps.

How do I map tool coverage across inner and outer loop development stages?

To map tool coverage, a structured audit checks your local tool inventories and plugin settings against documented workflow stages. It evaluates both inner loop phases like Verify and Review, and outer loop phases like Architect and Decompose.

Do I need a WORKFLOW.md reference file to run a dev loop audit?

Yes, the audit requires access to the WORKFLOW.md reference file to compare your installed tools against the recommended dev loop. It also needs to read local tool inventories and CLAUDE plugin settings to generate the gap report.

What's the best way to find missing quality signals in my AI development workflow?

The best way to find missing quality signals is to run an audit that cross-references your installed AI tools with the recommended workflow. This surfaces coverage gaps across cross-cutting signals and produces a prioritized action plan.

Can this audit identify redundant AI tools in my software development environment?

Yes, the audit identifies redundant items by comparing your installed AI-assisted tooling against the recommended dev loop guidance. It highlights overlapping tools and outputs a prioritized report to streamline your workflow and fix misalignments.