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vibeforge1111/domain-chip-ui-flow-auditor

Analysis updated 2026-07-09 · repo last pushed 2026-07-07

PythonAudience · pm founderComplexity · 3/5ActiveSetup · moderate

TLDR

Turns messy product-screen notes and user-flow reports into clean UI audit packs with flow diagrams, accessibility checks, and prioritized fixes. Runs as a Python-based plug-in for the Spark ecosystem.

Mindmap

mindmap
  root((repo))
    What it does
      Processes UI flow notes
      Generates audit packs
      Before and after diagrams
      Prioritized fix lists
    Tech stack
      Python
      JSON input files
      Mermaid diagrams
      SVG rendering
    Use cases
      Audit checkout flows
      Document design fixes
      Check accessibility risks
    Audience
      Product managers
      Designers
      Technical founders
    Limitations
      No conversion claims
      No revenue metrics
      Local evidence only
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What do people build with it?

USE CASE 1

Audit a checkout flow by feeding in screen notes and getting back visual diagrams plus a checklist of responsive risks.

USE CASE 2

Generate before-and-after flow diagrams to communicate proposed UI fixes to designers or engineers.

USE CASE 3

Produce evidence-backed design documentation that includes accessibility checks and acceptance tests for prioritized fixes.

What is it built with?

PythonMermaidJSON

How does it compare?

vibeforge1111/domain-chip-ui-flow-auditor0xhassaan/nn-from-scratcha-little-hoof/dsr
Stars00
LanguagePythonPythonPython
Last pushed2026-07-07
MaintenanceActive
Setup difficultymoderatemoderatehard
Complexity3/54/55/5
Audiencepm founderdeveloperresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Runs within the Spark ecosystem and optionally needs the Mermaid CLI installed to render visual SVG diagrams.

In plain English

domain-chip-ui-flow-auditor takes messy product-screen notes, screenshot descriptions, and user-flow reports and turns them into clean, implementation-ready UI audit packs. If you've ever tried to communicate what's wrong with a screen flow to a designer or engineer using only a wall of text, this tool gives you structured diagrams, prioritized fixes, and validation evidence instead. At a high level, it's a "chip", a plug-in for a system called Spark, that runs a Python script to process your input. You feed it a JSON file describing a UI flow, and it generates a bundle of useful artifacts. These include before-and-after flow diagrams (using a popular diagramming tool called Mermaid), automated accessibility and readability checks, and a list of prioritized fixes with acceptance tests. It also validates the output against a schema to make sure the data is structured correctly, and if you have the Mermaid CLI installed, it will render visual SVG diagrams for you. This is built for product managers, designers, or technical founders working within the Spark ecosystem who need to produce evidence-backed design documentation. For example, if you're auditing a checkout flow, you could feed in notes about each screen and get back a visual diagram of the current flow, a diagram of the proposed fixed flow, and a checklist of responsive or narrow-viewport risks. It's designed to create documentation that proves you've actually thought through failure and retry states, rather than just writing prose. A notable aspect of this project is its strict boundary around what it claims to do. It explicitly refuses to certify things like conversion lift, revenue improvement, or official accessibility compliance. It positions itself as a diagnostic tool that produces local evidence, leaving official quality scoring to human reviewers (or "blind judges"). This tradeoff keeps the tool honest, it generates structured findings and implementation notes, but it doesn't overpromise on business outcomes it can't actually measure.

Copy-paste prompts

Prompt 1
I have a JSON file describing a multi-screen UI flow with notes on each screen. Use the domain-chip-ui-flow-auditor Spark chip to generate before-and-after Mermaid flow diagrams, an accessibility check report, and a prioritized list of fixes with acceptance tests.
Prompt 2
Here are my product-screen notes for a checkout flow including failure and retry states. Convert them into the JSON input format expected by domain-chip-ui-flow-auditor so I can run the chip and get a full UI audit pack.
Prompt 3
I ran domain-chip-ui-flow-auditor on my UI flow JSON and got the audit pack. Help me review the prioritized fixes and Mermaid diagrams to prepare a handoff document for my design team.

Frequently asked questions

What is domain-chip-ui-flow-auditor?

Turns messy product-screen notes and user-flow reports into clean UI audit packs with flow diagrams, accessibility checks, and prioritized fixes. Runs as a Python-based plug-in for the Spark ecosystem.

What language is domain-chip-ui-flow-auditor written in?

Mainly Python. The stack also includes Python, Mermaid, JSON.

Is domain-chip-ui-flow-auditor actively maintained?

Active — commit in last 30 days (last push 2026-07-07).

How hard is domain-chip-ui-flow-auditor to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is domain-chip-ui-flow-auditor for?

Mainly pm founder.

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