ai-image-gen-guide

ai-image-gen-guide Visual Quality Diagnostic Assistant

Quick Start

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Overview

The Visual Quality Diagnostic Assistant is used to answer "Is this image ready to publish?", content production, copy optimization, and publishing preparation. It is suitable for content creators, marketers, operations teams, and content media to invoke after clarifying business goals, content materials, or analysis targets. It will combine 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 creative proposals, prompts/scripts, and production checklists, making it easy to continue execution, review, or delivery. Capability positioning supplement: required reading when using image/video generation tools. Includes tool parameters, non-blocking workflows, and task routing.

When to Use

Applicable Scenarios

• The user asks questions like "Is this image ready to publish?" and needs to quickly break down goals, determine priorities, and form executable results
• Content creators, marketers, operations teams, and content media need to generate creative proposals, prompts/scripts, and production checklists around the Visual Quality Diagnostic Assistant
• The user has already prepared the review target (explain the layout, readability, brand consistency, conversion goals, or delivery standards to be checked.), usage scenario (explain the platform, audience, device, campaign, or review scenario the visual material is intended for.), page or asset link (fill in publicly accessible pages, assets, design draft previews, or reference links; for restricted content, please upload instead.), and wants to organize them into executable analysis or optimization results
• The user needs to turn Visual Quality Diagnostic Assistant-related materials into clear conclusions, priorities, and next steps

How to Invoke

Directly call the AI Skills API through the exported Python runner:

Command Examples

Basic Invocation

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

Invocation 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 goals, or delivery standards 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 pages, assets, design draft previews, 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 the visual brief, screenshot description, 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 priorities

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

Parameter Value Reference

This skill currently has no categorical parameters that require additional lookup.

Supported Input Formats

The current skill receives JSON parameters directly; if the parameters include 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

• Creative proposal, prompt/script, production checklist: organize the core results around the user's goals 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.) distill the key context and basis for judgment.
• Next steps: provide 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 Diagnostic Assistant".
• Then check whether the results cover the creative proposal, prompt/script, production checklist, and whether they provide clear next steps.
• If there is little input material, it is recommended to ask the user to 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