ai-avatar-video

ai-avatar-video Video Quality Diagnostic Assistant

Quick Start

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Overview

The video quality diagnostic assistant is used to answer "Is this video good enough to publish?", AI generation, prompts, and visual creativity. It is suitable for marketing, operations, content media, and e-commerce to call after clarifying business goals, content materials, or analysis targets. It combines inputs such as digital human talking-head requirements, pasted digital human video goals, scripts, character settings, product descriptions, prompt drafts, or publishing scenarios, organizes key context, and outputs summaries, diagnostic conclusions, action recommendations, and reusable deliverables for continued execution, review, or delivery.

When to Use

Applicable Scenarios

• The user asks questions such as "Is this video good enough to publish?" and needs to quickly break down goals, determine priorities, and form executable results
• Marketing, operations, content media, and e-commerce need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the video quality diagnostic assistant
• The user has already prepared the talking-head goal (for example, explaining a product, guiding consultation, training instructions, event预热, brand endorsement, or reducing customer service pressure.), viewing audience (explain the audience the video is intended for, for example, potential customers, course students, employees, investors, or social media followers.), and talking-head reference link (fill in a reference talking-head video, brand page, script page, or image description link that can be accessed without logging in.), and hopes to organize them into executable analysis or optimization results
• The user needs to turn materials related to the video quality diagnostic assistant into clear conclusions, priorities, and next-step 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":"口播目标"}'

Parameter Description

Parameter	Type	Required	Default	Description
goal	string	No	-	For example, explaining a product, guiding consultation, training instructions, event预热, brand endorsement, or reducing customer service pressure
audience	string	No	-	Explain the audience the video is intended for, for example, potential customers, course students, employees, investors, or social media followers
materialUrl	string	No	-	Fill in a reference talking-head video, brand page, script page, or image description link that can be accessed without logging in; a complete accessible URL must be provided
materialFile	string	No	-	Upload avatar/image references, authorization materials, reference videos, script files, or brand materials to assist with the digital human brief
materialText	string	No	-	Paste the digital human video goal, talking-head script, character settings, product description, prompt draft, or publishing scenario
brandRequirements	string	No	-	Supplement character tone, clothing image, voice authorization, prohibited expressions, information that must be retained, and compliance restrictions

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

The current skill directly accepts JSON parameters; if the parameters contain a link field, please pass a complete, accessible URL.

Example request

The following example parameters 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":"口播目标"}'

Equivalent --params JSON：

{
  "goal": "口播目标"
}

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

• Summary, diagnostic conclusions, action recommendations, and reusable deliverables: organize the core results around the user's goals that can be directly read, reviewed, or delivered.
• Interpretation of input materials: combine the spoken-content goal (for example, explaining a product, driving inquiries, training instructions, event预热, brand endorsement, or reducing customer service pressure.), the viewing audience (explain the audience the video targets, for example, potential customers, course students, employees, investors, or social media followers.), and the spoken-content reference link (fill in a reference spoken-content video, brand page, script page, or image description link that can be accessed without logging in.) to extract key context and the basis for judgment.
• Next steps: provide priorities, execution recommendations, 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 the "Video Quality Diagnostic Assistant".
• Then check whether the results cover the summary, diagnostic conclusions, action recommendations, and reusable deliverables, and whether clear next steps are given.
• 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: default https://ai-skills.ai
• AISKILLS_API_KEY: required, used for authenticated calls
• AISKILLS_TENANT_ID: default default