ai-minimalist-ui

ai-minimalist-ui Visual Quality Diagnostic Assistant

Quick Start

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Overview

The visual quality diagnostic assistant is used to answer "Is this image good enough to publish?", content production, copy optimization, and publishing preparation. It is suitable for content creators, marketing professionals, operations teams, and content media to invoke after clarifying business goals, content materials, or analysis targets. It combines inputs such as visual brief or screenshot descriptions, pasted visual briefs, screenshot descriptions, brand guidelines, page issues, platform specifications, or modification... to organize key context and output visual/creative diagnostics, prompts or storyboard plans, and publishing specification checks, making it easy to continue execution, review, or delivery. Capability positioning supplement: skills.sh all-time/trending signals show that minimalist-ui has user demand; the platform displays it as a design_media business assistant directory, outputting reviewable diagnostics, suggestions, or production preparation packages.

When to Use

Applicable Scenarios

• The user raises questions such as "Is this image good enough to publish?" and needs to quickly break down goals, determine priorities, and form actionable results
• Content creators, marketing professionals, operations teams, and content media need to generate visual/creative diagnostics, prompts or storyboard plans, and publishing specification checks around the visual quality diagnostic assistant
• The user has already prepared the review target (explain the layout, readability, brand consistency, conversion goal, or delivery standard to be checked.), usage scenario (explain the platform, audience, device, campaign, or review scenario the visual material is intended for.), page or material link (fill in publicly accessible page, material, design draft preview, or reference links; for restricted content, please upload instead.), and wants to organize them into actionable analysis or optimization results
• The user needs to turn materials related to the visual quality diagnostic assistant into clear conclusions, priorities, and next steps

How to Invoke

Call the AI Skills API directly through the exported Python runner:

Command Examples

Basic Call

python3 scripts/run.py --params '{}'

Call with Common Parameters

python3 scripts/run.py --params '{"goal":"审查目标"}'

Parameter Description

Parameter	Type	Required	Default	Description
goal	string	No	-	Explain the layout, readability, brand consistency, conversion goal, or delivery standard to be checked
audience	string	No	-	Explain the platform, audience, device, campaign, or review scenario the visual material is intended for
materialUrl	string	No	-	Fill in publicly accessible page, material, design draft preview, or reference links; for restricted content, please upload instead; a complete accessible URL is required
materialFile	string	No	-	Upload screenshots, images, presentation decks, brand guidelines, product images, or visual reference files
materialText	string	No	-	Paste visual briefs, screenshot descriptions, brand guidelines, page issues, platform specifications, or modification goals
brandRequirements	string	No	-	Supplement brand guidelines, size ratios, platform restrictions, unchangeable elements, accessibility requirements, or manual review focus points

See the complete machine-readable parameter structure at references/form-schema.json。

Parameter Value Reference

The current skill has no categorical parameters that require additional lookup.

Supported input formats

The current skill directly accepts JSON parameters; if the parameters contain a link field, please pass a complete, accessible URL.

Example request

The example parameters below can be passed directly to scripts/run.py, and the runner will send them to the AI Skills API.

python3 scripts/run.py --params '{"goal":"审查目标"}'

Equivalent --params JSON：

{
  "goal": "审查目标"
}

Example return result

{
  "success": true,
  "data": {
    "message": "示例结果请以技能真实返回结构为准。"
  },
  "meta": {
    "executionTime": 842,
    "cached": false
  }
}

Deliverables

• Visual/creative diagnosis, prompt or storyboard plan, release specification check: organize, around the user's goals, core results that can be directly read, reviewed, or delivered.
• Interpretation of input materials: combined with the review goal (explain the layout, readability, brand consistency, conversion goal, or delivery standard to be checked.), usage scenario (explain the platform, audience, device, campaign, or review scenario the visual materials are intended for.), page or material link (fill in a publicly accessible page, material, design draft preview, or reference link; for restricted content, please upload instead.) extract key context and basis for judgment.
• Next steps: give priorities, execution suggestions, or a content framework that can be further processed.

Suggestions for using the results

• First determine whether the output answers the user's core question about the "Visual Quality Diagnosis Assistant".
• Then check whether the results cover visual/creative diagnosis, prompt or storyboard plan, release specification check, and whether clear next steps are given.
• If there is little input material, it is recommended to have the user supplement the goal, audience, constraints, or original materials before running.

Preparation before running

• AISKILLS_BASE_URL: default https://ai-skills.ai
• AISKILLS_API_KEY: required, used for authenticated calls
• AISKILLS_TENANT_ID: default default