Overview
The Video Quality Diagnostic Assistant is used to answer "Is this video ready to publish?", video scripts, storyboards, and voiceovers. It is suitable for content creators, operations, marketing, and design to call after clarifying business goals, content materials, or analysis targets. It will combine video storyboard drafts, pasteable storyboard tables, shot scripts, or shooting plans; it is recommended to retain inputs such as shot numbers, visual descriptions, narration, subtitles... organize key context, and output summaries, diagnostic conclusions, action recommendations, and reusable deliverables, making it easy to continue execution, review, or delivery.
When to Use
Applicable Scenarios
- The user asks questions such as "Is this video ready to publish?" and needs to quickly break down goals, determine priorities, and form executable results.
- Content creators, operations, marketing, and design need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the Video Quality Diagnostic Assistant.
- The user has already prepared conversion goals (for example, improving comprehension efficiency, emotional impact, conversion clicks, memorable传播 points, or shooting feasibility), target audience (explaining the viewers the video is aimed at, for example brands, consumers, investors, course students, or internal reviewers), storyboard reference links (fill in storyboard, script, sample, or video plan links that can be accessed without login), 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 steps.
How to Invoke
Call the AI Skills API directly through the exported Python runner:
Command Example
Basic Invocation
python3 scripts/run.py --params '{}'
Invocation with Common Parameters
python3 scripts/run.py --params '{"goal":"转化目标"}'
Parameter Description
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
goal |
string | No | - | For example, improving comprehension efficiency, emotional impact, conversion clicks, memorable传播 points, or shooting feasibility. |
audience |
string | No | - | Explain the viewers the video is aimed at, for example brands, consumers, investors, course students, or internal reviewers. |
materialUrl |
string | No | - | Fill in storyboard, script, sample, or video plan links that can be accessed without login; a complete accessible URL must be provided. |
reviewDepth |
string | No | 标准诊断 |
Diagnostic depth; optional values:快速体检、标准诊断、深度改稿 |
materialFile |
string | No | - | Supports storyboard documents such as docx, pdf, md, txt, suitable for submitting script tables, shooting plans, or review documents. |
materialText |
string | No | - | Pasteable storyboard table, shot script, or shooting plan; it is recommended to retain shot numbers, visual descriptions, narration, subtitles, and duration. |
videoDuration |
string | No | - | For example, 15 seconds, 30 seconds, 60 seconds, or 3 minutes. |
targetPlatform |
string | No | 短视频 |
Target platform; optional values:短视频、抖音、视频号、B站、广告片 |
brandRequirements |
string | No | - | Supplement visual tone, brand prohibitions, information that must appear, shots that must not appear, or compliance restrictions. |
See the complete machine-readable parameter structure in references/form-schema.json。
Parameter value reference
This skill has no categorized 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":"转化目标"}'
Equivalent --params JSON：
{
"goal": "转化目标"
}
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: combined with the conversion goal (for example, improving comprehension efficiency, emotional impact, conversion clicks, memorable communication points, or filming feasibility.), target audience (explain the viewers the video is aimed at, for example, brands, consumers, investors, course participants, or internal reviewers.), and storyboard reference link (provide a link to a storyboard, script, sample, or video plan that can be accessed without logging in.) to extract key context and the 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 "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 provided.
- 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: defaulthttps://ai-skills.aiAISKILLS_API_KEY: required, used for authenticated callsAISKILLS_TENANT_ID: defaultdefault