Overview
The brand consistency diagnostic assistant is used to answer 'Is the brand expression unified?', 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 objectives, 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 modifications... to organize key context and output tone deviations, rewriting suggestions, and consistency checklists, making it easy to continue execution, review, or delivery. Capability positioning supplement: Brand consistency review is suitable for public business users to submit materials for use.
When to Use
Applicable Scenarios
- Users raise questions such as 'Is the brand expression unified?' and need to quickly break down objectives, determine priorities, and form actionable results
- Content creators, marketing professionals, operations teams, and content media need to generate tone deviations, rewriting suggestions, and consistency checklists around the brand consistency diagnostic assistant
- Users have already prepared the review objective (explaining the layout, readability, brand consistency, conversion goals, or delivery standards to be checked.), usage scenario (explaining the platform, audience, device, campaign, or review scenario the visual materials are intended for.), page or material link (fill in publicly accessible pages, materials, design draft previews, or reference links; for restricted content, please upload instead.), and hope to organize them into actionable analysis or optimization results
- Users need to turn materials related to the brand consistency diagnostic assistant into clear conclusions, priorities, and next steps
How to Invoke
Invoke 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 goals, or delivery standards to be checked |
audience |
string | No | - | Explain the platform, audience, device, campaign, or review scenario the visual materials are intended for |
materialUrl |
string | No | - | Fill in publicly accessible pages, materials, 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 visual briefs, screenshot descriptions, brand guidelines, page issues, platform specifications, or modification objectives |
brandRequirements |
string | No | - | Supplement with brand guidelines, size ratios, platform restrictions, non-modifiable elements, accessibility requirements, or key points for manual review |
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
This skill directly accepts JSON parameters; if the parameters include a link field, 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
- Tone deviations, rewrite suggestions, consistency checklist: organize the core results around the user's goals that can be directly read, reviewed, or delivered.
- Interpretation of input materials: combine the review objectives (state the layout, readability, brand consistency, conversion goals, or delivery standards to be checked.), usage scenario (state the platform, audience, device, campaign, or review scenario the visual materials are intended for.), page or material links (fill in publicly accessible pages, materials, design previews, or reference links; for restricted content, please upload instead.) to extract key context and the 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 "Brand Consistency Diagnostic Assistant".
- Then check whether the results cover tone deviations, rewrite suggestions, and a consistency checklist, 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