ai-baoyu-image-gen

ai-baoyu-image-gen Image Generation Assistant

Quick Start

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Overview

The image generation assistant is used to answer "can this image be used," content production, copy optimization, and publishing preparation. It is suitable for content creators, marketing, operations, and content media to call 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 revision... to organize key context, and outputs 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 baoyu-image-gen 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

• The user raises questions such as "can this image be used" and needs to quickly break down goals, determine priorities, and form executable results.
• Content creators, marketing, operations, and content media need to generate visual/creative diagnostics, prompts or storyboard plans, and publishing specification checks around the image generation 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.), 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 hopes to organize it into executable analysis or optimization results.
• The user needs to turn materials related to the image generation assistant into clear conclusions, priorities, and next actions.

How to Call

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

Command Example

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 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 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 revision 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 an additional lookup table.

Supported input formats

The current skill directly accepts JSON parameters; if the parameters contain a link field, pass 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 '{"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, publishing specification check: organize the core results around the user's goals that can be directly read, reviewed, or delivered.
• Input material interpretation: combine the review objectives (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 materials are intended for.), page or material links (fill in publicly accessible pages, materials, design draft previews, or reference links; for restricted content, upload instead.) to extract key context and the basis for judgment.
• Next steps: provide priorities, execution suggestions, or a content framework that can continue to be processed.

Suggestions for using the results

• First determine whether the output answers the user's core question about "Image Generation Assistant".
• Then check whether the results cover visual/creative diagnosis, prompt or storyboard plan, publishing specification check, and whether clear next steps are provided.
• If the input materials are insufficient, it is recommended to have the user 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