ai-presentation-design-enhancer

ai-presentation-design-enhancer Presentation Optimization Assistant

Overview

The Presentation Optimization Assistant is used to answer "Does this presentation explain things clearly?", content production, copy optimization, and release preparation. It is suitable for content creators, marketing professionals, operations staff, and content media to invoke after clarifying business goals, content materials, or analysis targets. It will combine 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 structural diagnostics, page improvement suggestions, and narrative logic checklists, making it easy to continue execution, review, or delivery. Capability positioning supplement: presentation review has clear file inputs and deliverable business results.

When to Use

Applicable Scenarios

Users raise questions such as "Does this presentation explain things clearly?" and need to quickly break down goals, determine priorities, and form executable results
Content creators, marketing professionals, operations staff, and content media need to generate structural diagnostics, page improvement suggestions, and narrative logic checklists around the Presentation Optimization Assistant
Users have already prepared review goals (explain the layout, readability, brand consistency, conversion goals, or delivery standards to be checked.), usage scenarios (explain the platform, audience, device, event, 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, please upload instead.), and hope to organize them into executable analysis or optimization results
Users need to turn materials related to the Presentation Optimization 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 goals, or delivery standards to be checked
`audience`	string	No	-	Explain the platform, audience, device, event, 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; must pass an accessible full URL
`materialFile`	string	No	-	Upload screenshots, images, presentations, 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 currently has no categorical parameters that require additional table lookup.

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, 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

Structural diagnosis, page improvement suggestions, narrative logic checklist: organize core results around the user's goals that can be directly read, reviewed, or delivered.
Interpretation of input materials: combine the review objective (explain the layout, readability, brand consistency, conversion goal, 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 link (enter a publicly accessible page, material, design draft preview, or reference link; for restricted content, 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 "Presentation Optimization Assistant".
Then check whether the results cover the structural diagnosis, page improvement suggestions, narrative logic checklist, 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