video-generation
Control video generation requests before execution. Use this when the user asks for a simple clip, storyboard video, UGC video, podcast clip, reference video, talking-head, image-to-video, text-to-video, or research-handoff video and the skill must classify the request before handing it to video-request-architect and a runner such as seedance-submitter or video-batch-runner.
- Installs
- 509
- Last 24h
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- Trending rank
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- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/postplusai/postplus-skills --skill video-generation- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads video-generation automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Video Generation
Use When
- The desired final asset is a generated video or video render plan.
- The request may be a simple clip, storyboard, UGC, podcast clip, reference video, talking-head, image-to-video, text-to-video, or research handoff.
- The next decision is task class, request architecture, and execution handoff.
Do Not Use When
- The user only needs transcription, subtitles, semantic analysis, or edit
decisioning. Use
media-router. - The request architecture is already approved and provider-ready. Use
seedance-submitterorvideo-batch-runner. - The task is image-only or audio-only.
Core Boundary
This is the video generation controller. It does not submit jobs.
It must:
- classify the video task,
- choose whether references or storyboard must be resolved,
- hand approved structure to
video-request-architect, - hand submit-ready plans to
seedance-submitterorvideo-batch-runner.
Task Classes
| Task class | Use when | Required handoff |
|---|---|---|
simple_clip | one short text/image-to-video clip | video-request-architect |
storyboard | panel sequence or contact sheet drives the clip | storyboard-grid-writer, then video-request-architect |
ugc | creator-style product or app video | ugc-flow unless it is one isolated clip |
podcast | voice-led clip, audiogram, or speaker segment | audio-generation, then video architecture |
reference_video | benchmark video controls rhythm or motion | reference-decode and reference-contract-builder |
research_handoff | research/benchmark becomes a generation request | benchmark-to-brief, then video-request-architect |
Routing Table
| If not video-generation | Send to |
|---|---|
| Understanding or subtitles first | media-router |
| Image asset must be created first | image-generation |
| Voice or dub must be created first | audio-generation |
| Product-to-UGC pipeline | ugc-flow |
| Provider-ready request exists | seedance-submitter or video-batch-runner |
Three-Layer Boundary
- Controller: classify task and produce the handoff. It must not submit.
- Architect:
video-request-architectbuilds provider-agnostic structure. It must not call providers. - Runner:
seedance-submitterorvideo-batch-runnervalidates and executes normalized requests. It must not make creative strategy decisions.
Output Shape
Return:
taskClassrequiredUpstreamSkillsarchitectureHandoffrunnerHandoffreferencePolicymustNotDo
Stop Conditions
- Stop when required user intent, source evidence, or owned input artifacts are missing and guessing would change the result.
- Do not ask a runner to infer hook, persona, or reference meaning.
- If an owned CLI or script command fails, report the exact error and stop. Do not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools.
Public Command Boundary
- Choose the smallest matching command or workflow from the user input and run it directly.
- If an owned CLI or script command fails, report the exact error and stop. Do not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools.
- This public skill is instruction-driven. Produce the controller handoff artifact directly from the available evidence.
- Do not call private provider/runtime paths or unpublished local tools.
- If the CLI returns a quote-confirmation challenge, run
postplus quote confirm --json --challenge-file <challenge.json>and retry with the returned token.
FAQ
What does the video-generation skill do?
Control video generation requests before execution. Use this when the user asks for a simple clip, storyboard video, UGC video, podcast clip, reference video, talking-head, image-to-video, text-to-video, or research-handoff video and the skill must classify the request before handing it to video-request-architect and a runner such as seedance-submitter or video-batch-runner.
How do I install video-generation?
Run npx skills add https://github.com/postplusai/postplus-skills --skill video-generation in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/video-generation/ (personal) or .claude/skills/video-generation/ (project).
Which AI agents can use video-generation?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is video-generation safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains video-generation?
It is published by postplusai in postplusai/postplus-skills. It has 509 recorded installs.
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