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, marketers, operations staff, and content media to invoke after clarifying business goals, content materials, or analysis targets. It combines inputs such as visual briefs 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 easier to continue execution, review, or delivery. Capability positioning supplement: skills.sh all-time/trending signals show that industrial-brutalist-ui has user demand; the platform displays it as a design_media business assistant directory, outputting reviewable diagnostics, recommendations, or production preparation packages.
When to use
Applicable scenarios
- Users ask questions such as "Is this image good enough to publish?" and need to quickly break down the goal, determine priorities, and form actionable results
- Content creators, marketers, operations staff, and content media need to generate visual/creative diagnostics, prompts or storyboard plans, and publishing specification checks around the visual quality diagnostic assistant
- Users have 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.), and page or material link (fill in a publicly accessible page, material, design draft preview, or reference link; for restricted content, please upload instead.), and want to organize it into actionable analysis or optimization results
- Users need to turn materials related to the visual quality diagnostic assistant into clear conclusions, priorities, and next-step actions
How to invoke
Call the AI Skills API directly 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 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 a publicly accessible page, material, design draft preview, or reference link; for restricted content, please upload instead; a complete accessible URL is required |
materialFile |
string | No | - | Upload screenshots, images, presentation slides, 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
The current skill has no category 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, prompts or storyboard plans, publishing spec checks: organize core results around the user's goals that can be directly read, reviewed, or delivered.
- Interpretation of input materials: combined with the review goals (describe the layout, readability, brand consistency, conversion goals, or delivery standards to be checked.), usage scenario (describe 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.) to extract key context and basis for judgment.
- Next steps: provide priorities, execution suggestions, or a content framework that can be further developed.
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, prompts or storyboard plans, publishing spec checks, and whether clear next steps are provided.
- If there is little input material, it is recommended to have the user supplement the goals, audience, constraints, or original materials before running.
Preparation Before Running
AISKILLS_BASE_URL: Defaulthttps://ai-skills.aiAISKILLS_API_KEY: Required, used for authenticated callsAISKILLS_TENANT_ID: Defaultdefault