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Apidot Omni Flash Api

该 Skill 为纯文档型:把 Omni Flash 视频生成相关问题路由到 APIDot 模型页、API 文档与示例,讲解 prompt 转视频、图像/视频引导生成与修订、720p/1080p/4K 输出、task_id、轮询与 webhook 回调等异步流程,并给出密钥与数据安全注意事项;自身不含脚本、不发网络请求、不存储凭据。

jiehao71727
jiehao71727
热度 11.17
最近更新 2026-07-06 08:04:16
分类:开发依赖:纯提示词应用场景:API 集成 / 视频编辑 / 工作流

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add apidot-omni-flash-api
Metadata
name
apidot-omni-flash-api
description
Use APIDot for Omni Flash API workflows, including multimodal video generation, prompt-to-video, image-guided video, video-guided revision, 720p, 1080p, 4K, task_id, polling, webhooks, and APIDot docs routing.
homepage
https://apidot.ai/models/omni-flash
metadata
{"openclaw":{"homepage":"https://apidot.ai/docs","primaryEnv":"APIDOT_API_KEY","envVars":[{"name":"APIDOT_API_KEY","required":false,"description":"APIDot API key for real API calls. Store it server-side only."}]}}

APIDot Omni Flash API

Use APIDot as an Omni Flash-focused API surface for multimodal video generation, prompt-to-video, image-guided video, video-guided revision, polling, and webhook delivery.

This skill is for routing Omni Flash questions to the right APIDot docs, model pages, reference notes, and async integration pattern. It is documentation-only: it includes no scripts, makes no network requests, and does not store credentials.

This release contains SKILL.md plus non-executable notes in references/api.md. It includes no executable files, install-time automation, review automation helpers, shell automation, bundled API clients, automatic network calls, or stored credentials.

Start on APIDot

Use these APIDot entry points when coming from ClawHub:

Search Terms

Use this skill for searches and requests phrased as Omni Flash, omni-flash, Google Omni Flash, multimodal video generation, prompt-to-video, image-guided video, video-guided video, video revision, video editing, 4K video generation, or APIDot Omni API.

When To Use

Use this skill when the user asks to:

  • Build an Omni Flash API integration with APIDot.
  • Generate short videos from prompts.
  • Use one or three image references to guide generated video.
  • Use one source video to guide a revision or video-guided generation workflow.
  • Plan 720p, 1080p, or 4K video output through APIDot.
  • Implement APIDot async Omni Flash jobs with task submission, task status polling, or webhook callbacks.
  • Find APIDot Omni Flash docs, model pages, or examples.

Security Rules

  • Treat APIDOT_API_KEY as a secret.
  • Keep APIDot API keys in server-side environment variables or a backend secret manager.
  • Never place an API key in browser code, frontend bundles, public repos, logs, screenshots, or chat output.
  • Do not make live API calls unless the user explicitly asks and provides a safe server-side environment.
  • Treat prompts, source media URLs, generated video URLs, callback URLs, customer data, and task IDs as sensitive unless the user explicitly says they can be shared.
  • Do not invent API facts, commercial terms, model availability, reliability claims, performance claims, or competitor comparisons.
  • Use current APIDot docs and model pages for model-specific request fields and current product details.

Omni Flash Workflow

APIDot Omni Flash generation follows the shared async task pattern:

  1. Choose the Omni Flash request mode from the current APIDot docs.
  2. Decide whether the job is prompt-only, image-guided, or video-guided.
  3. Submit the video request through the documented APIDot async generation flow.
  4. Save the returned data.task_id immediately.
  5. Poll task status with the documented task status API for local tests.
  6. Use callback_url webhook delivery for production queues or user workflows that may outlive the current page.
  7. Store final video URLs only after the task reaches a terminal success state.

Do not guess model-specific payload fields. If the user needs copyable request examples, point them to the current APIDot docs or general APIDot examples.

Model Routing

Start from the user's Omni Flash task, then open the matching APIDot source:

User Goal Start Here
Browse APIDot Omni Flash model page https://apidot.ai/models/omni-flash
Build with Omni Flash https://apidot.ai/docs/omni-flash
Read APIDot API docs https://apidot.ai/docs
Learn APIDot quickstart flow https://apidot.ai/docs/quickstart
Implement webhooks https://apidot.ai/docs/webhooks
Use general APIDot examples https://github.com/APIDotAI/apidot-examples

For Omni Flash request modes, prefer the live APIDot model page and docs page. Do not copy request fields from another video model family unless the APIDot docs show the same field.

Use references/api.md for a local, non-executable summary of Omni Flash model routing, request planning, and async workflow notes.

Integration Guidance

  • Use apidot-video-generation-api when the user needs broad video generation guidance across several model families.
  • Use this skill when the user is specifically building with Omni Flash through APIDot.
  • Ask which video task the user needs before choosing a model-specific path: prompt-to-video, one-image guided video, three-image guided video, source-video guided revision, product clip, social ad draft, or 4K review clip.
  • Persist task_id, selected model, user ID, source media references, request status, and final video URLs together.
  • Validate source image and video URLs before submitting workflows that depend on external media.
  • Do not assume unsupported image counts, audio inputs, conversational edit state, or aspect ratios beyond what the current APIDot docs expose.
  • Treat webhook handlers as idempotent. Duplicate callback deliveries should not create duplicate visible results.
  • Retry transient network failures with backoff. Do not retry invalid payloads unchanged.
  • Avoid logging API keys, private prompts, private media URLs, generated video URLs, callback URLs, or task IDs.

Official Links