SuperAPI AI Directory

kling-3-0

Marketing & growth

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Updated 10-15 19:55

About this skill

kling-3-0 business diagnostic assistant

Quick start

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Overview

The business diagnostic assistant is used to answer "how should this be done," AI generation, prompts, and visual creativity, and is suitable for marketing, operations, content media, and e-commerce to call after clarifying business goals, content materials, or analysis targets. It will combine inputs such as Kling video requirements, pasted video themes, scripts, storyboards, image-to-video descriptions, camera actions, prompt drafts, or publishing... to 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

  • Users raise questions such as "how should this be done," need 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 business diagnostic assistant
  • Users have already prepared video goals (for example, product display, narrative storytelling, advertising conversion, atmosphere creation, event warm-up, or instructional explanation.), viewing audience (describe the audience the video targets, for example, consumers, social media fans, advertising audiences, course students, or internal reviewers.), video reference links (fill in reference videos, reference images, script pages, product pages, or competitor video links that can be accessed without logging in.), and hope to organize them into executable analysis or optimization results
  • Users need to turn materials related to the business diagnostic assistant into clear conclusions, priorities, and next steps

How to call

Call the AI Skills API directly through the exported Python runner:

Command examples

Basic call

python3 scripts/run.py --params '{}'

Call with common parameters

python3 scripts/run.py --params '{"goal":"视频目标"}'

Parameter description

Parameter Type Required Default Description
goal string No - For example, product display, narrative storytelling, advertising conversion, atmosphere creation, event warm-up, or instructional explanation
audience string No - Describe the audience the video targets, for example, consumers, social media fans, advertising audiences, course students, or internal reviewers
materialUrl string No - Fill in reference videos, reference images, script pages, product pages, or competitor video links that can be accessed without logging in; a complete accessible URL must be provided
materialFile string No - Upload reference videos, first-frame images, last-frame images, product images, character images, storyboard documents, or brand materials to organize a Kling video prompt package
materialText string No - Paste video themes, scripts, storyboards, image-to-video descriptions, camera actions, prompt drafts, or publishing requirements
brandRequirements string No - Supplement subject stability requirements, camera restrictions, brand colors, character/voice authorization, copyright restrictions, and compliance requirements

See the complete machine-readable parameter structure at references/form-schema.json。

Parameter value reference

The current skill has no categorical parameters that require additional lookup.

Supported input formats

The current skill directly receives 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":"视频目标"}'

Equivalent --params JSON:

{
  "goal": "视频目标"
}

Example response 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 video goal (for example, product showcase, narrative storytelling, advertising conversion, atmosphere creation, event teaser, or instructional explanation.), viewing audience (describe the audience the video targets, for example, consumers, social media fans, advertising audiences, course participants, or internal reviewers.), and video reference links (fill in reference videos, reference images, script pages, product pages, or competitor video links 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 processed.

Suggestions for using the results

  • First determine whether the output answers the user's core question about the "Business 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 source 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