Overview
The AI Video Editing Diagnostic Assistant is used to answer "how should this footage be edited," video editing, material organization, and short video adaptation. It is suitable for marketing, operations, software, and content media to invoke after clarifying business goals, content materials, or analysis targets. It will combine editing requirements or material descriptions, paste the material descriptions, transcripts, timestamps... and other inputs to be handed to the "AI Video Editing Diagnostic Assistant" for processing this time, organize key context, and output editing structure diagnoses, clip selection and timing suggestions, and subtitle, voiceover, and platform restructuring checklists, making it easy to continue execution, review, or delivery.
When to Use
Applicable Scenarios
- The user asks questions such as "how should this footage be edited," and needs to quickly break down goals, determine priorities, and form executable results
- Marketing, operations, software, and content media need to generate editing structure diagnoses, clip selection and timing suggestions, and subtitle, voiceover, and platform restructuring checklists around the AI Video Editing Diagnostic Assistant
- The user has already prepared the final video goal and duration (explain the editing problem to be solved this time, target duration, final video purpose, or the version that needs to be produced.), target platform and audience (explain the platform, viewing audience, role, market, or use scenario that the "AI Video Editing Diagnostic Assistant" output should serve.), materials or reference links (fill in publicly accessible video, material, or reference final video links; if the link requires login, permissions, or cookies, ...), and hopes to organize them into executable analysis or optimization results
- The user needs to turn AI Video Editing Diagnostic Assistant-related materials into clear conclusions, priorities, and next 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":"成片目标与时长"}'
Parameter Description
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
goal |
string | No | - | Explain the editing problem to be solved this time, target duration, final video purpose, or the version that needs to be produced |
audience |
string | No | - | Explain the platform, viewing audience, role, market, or use scenario that the "AI Video Editing Diagnostic Assistant" output should serve |
materialUrl |
string | No | - | Fill in publicly accessible video, material, or reference final video links; if the link requires login, permissions, or cookies, please upload a file or paste the content instead; a complete accessible URL must be provided |
materialFile |
string | No | - | Upload raw footage, screen recordings, interviews, livestream clips, transcripts, or script files to facilitate generating an editing decision table |
materialText |
string | No | - | Paste the material descriptions, transcripts, timestamps, editing goals, or current final video issues to be handed to the "AI Video Editing Diagnostic Assistant" for processing this time |
brandRequirements |
string | No | - | Supplement brand tone, platform specifications, editing style, must-retain content, unchangeable facts, compliance restrictions, or key points for manual review |
See the complete machine-readable parameter structure at references/form-schema.json。
Parameter value reference
This skill has no categorical parameters that require additional table lookup.
Supported input formats
This skill directly accepts JSON parameters; if the parameters contain link fields, pass complete, accessible URLs.
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":"成片目标与时长"}'
Equivalent --params JSON：
{
"goal": "成片目标与时长"
}
Example response
{
"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
- Editing structure diagnosis, clip selection and timing suggestions, subtitle dubbing and platform restructuring checklist: core results organized around user goals that can be read, reviewed, or delivered directly.
- Interpretation of input materials: combine the final video goal and duration (describe the editing problem this session aims to solve, target duration, final video use, or the version that needs to be produced.), target platform and audience (describe the platform, viewing group, role, market, or use scenario that the "AI Video Editing Diagnosis Assistant" output should serve.), materials or reference links (fill in publicly accessible video, material, or reference final video links; if the link requires login, permissions, or cookies, ...) 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 questions about the "AI Video Editing Diagnosis Assistant".
- Then check whether the results cover the editing structure diagnosis, clip selection and timing suggestions, subtitle dubbing and platform restructuring checklist, and whether clear next steps are provided.
- If the input materials are limited, it is recommended to have the user supplement 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