ai-baoyu-compress-image

ai-baoyu-compress-image Image Compression Assistant

Overview

The Image Compression Assistant is used to answer "can the image be smaller?", content production, copy optimization, and publishing preparation. It is suitable for content creators, marketing, operations, 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 diagnoses, 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-compress-image has user demand; the platform displays it as a design_media business assistant directory, outputting reviewable diagnoses, suggestions, or production preparation packages.

When to Use

Applicable Scenarios

Users raise questions such as "can the image be smaller?" and need to quickly break down goals, determine priorities, and form executable results
Content creators, marketing, operations, and content media need to generate visual/creative diagnoses, prompts or storyboard plans, and publishing specification checks around the Image Compression Assistant
Users have already prepared the review target (explain the layout, readability, brand consistency, conversion goals, or delivery standards to check.), use scenario (explain 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 it into executable analysis or optimization results
Users need to turn Image Compression 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 check
`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 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 has no category parameters that require additional lookup.

Supported input formats

This 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, prompt or storyboard plan, publishing specification check: organize the core results that can be directly read, reviewed, or delivered around the user's goals.
Interpretation of input materials: combine the review objective (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 for which the visual materials are intended.), 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 processed.

Suggestions for using the results

First determine whether the output answers the user's core question about "Image Compression Assistant".
Then check whether the result covers visual/creative diagnosis, prompt or storyboard plan, publishing specification check, and whether it gives clear next steps.
If the input materials are insufficient, 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