ai-visual-prompt-review

ai-visual-prompt-review Visual Quality Diagnostic Assistant

Quick Start

More Skills

Overview

The visual quality diagnostic assistant is used to answer "Is this image good enough to publish?", AI drawing, prompts, Doubao. It is suitable for designers, operations, marketing, and content creators to invoke after clarifying business goals, content materials, or analysis targets. It combines visual generation prompts, pasted Chinese/English prompts, negative prompts, composition, subject, style, and usage descriptions. and other inputs, organizes key context, and outputs summaries, diagnostic conclusions, action recommendations, and reusable deliverables, making it easy to continue execution, review, or delivery.

When to Use

Applicable Scenarios

• Users ask questions such as "Is this image good enough to publish?" and need to quickly break down goals, determine priorities, and form actionable results
• Designers, operations, marketing, and content creators need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the visual quality diagnostic assistant
• Users have already prepared style constraints and risk points (supplement prohibited elements, copyright concerns, person/brand restrictions, color and composition preferences.), uploaded visual references (upload reference images, brand visual guidelines, product images, storyboards, or generated results.), visual generation prompts (paste Chinese/English prompts, negative prompts, composition, subject, style, and usage descriptions.), and hope to organize them into executable 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 '{"brandStyleNotes":"风格限制与风险点"}'

Parameter Description

Parameter	Type	Required	Default	Description
brandStyleNotes	string	No	-	Supplement prohibited elements, copyright concerns, person/brand restrictions, color and composition preferences
promptAssetFile	string	No	-	Upload reference images, brand visual guidelines, product images, storyboards, or generated results
visualPromptText	string	No	-	Paste Chinese/English prompts, negative prompts, composition, subject, style, and usage descriptions
visualGoalContext	string	No	-	Explain usage, aspect ratio, platform, target audience, brand requirements, and delivery specifications
visualReviewFocus	string	No	清晰度	Select the direction that most needs priority handling in this AI visual prompt review; optional values:清晰度、风格一致、可控性、风险提示
imageReferenceLink	string	No	-	Provide publicly accessible reference images, product pages, style cases, or material links; a complete accessible URL is required

For the complete machine-readable parameter structure, see references/form-schema.json。

Parameter Value Reference

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

Supported Input Formats

This skill directly accepts JSON parameters; if the parameters include link fields, please provide a complete, accessible URL.

Example Request

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

python3 scripts/run.py --params '{"brandStyleNotes":"风格限制与风险点"}'

Equivalent --params JSON：

{
  "brandStyleNotes": "风格限制与风险点"
}

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

• Summary, diagnostic conclusions, action recommendations, and reusable deliverables: organize core results around the user's goals that can be directly read, reviewed, or delivered.
• Interpretation of input materials: refine key context and judgment basis by combining style constraints and risk points (supplementary prohibited elements, copyright concerns, character/brand restrictions, color and composition preferences.), uploaded visual references (uploaded reference images, brand visual guidelines, product images, storyboards, or generated results.), and visual generation prompts (paste Chinese/English prompts, negative prompts, composition, subject, style, and usage description.).
• Next steps: provide priorities, execution recommendations, or a content framework that can continue to be refined.

Suggestions for using the results

• First determine whether the output answers the user's core questions about the "Visual Quality Diagnosis Assistant".
• Then check whether the results cover the summary, diagnostic conclusions, action recommendations, and reusable deliverables, and whether clear next steps are provided.
• If the input materials are limited, it is recommended to ask the user to supplement the goals, 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