agentleFS
celeryhqceleryhq/simplified-ai/skills/generate-video/SKILL.md

generate-video

Skill4 starsChanged 4 months agoMITView on GitHub

Use when the user asks Simplified to generate an AI video, animate an image, create a product teaser, guide motion with several images, make a first/last-frame transition, transform a source video, or check supported video models, duration, resolution, or audio options.

7 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 5 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Create one clear motion asset using a compatible model, ready workspace references, and the current tool's nested parameters.

    line 10
  2. Very specific:

    Use manage-assets to find/import/upload references and check readiness with api_getAsset.

    line 17
  3. Very specific:

    Call api_generateVideo once.

    line 19

“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Generate Video

For a long recording cut into actual short clips, use repurpose-video. For standalone scripted narration, use generate-voiceover; an audio result does not establish that it was muxed into a video.

Create one clear motion asset using a compatible model, ready workspace references, and the current tool's nested parameters.

Workflow

  1. Resolve scope with simplified-workspace when a workspace/teamspace is named or uncertain. Carry space_id into every related call.
  2. Define the subject, action, placement, aspect ratio, duration, camera behavior, and audio needs. Infer ordinary choices from the user's brief; ask only for missing constraints that change the result or cost.
  3. Discover current models with api_listVideoModels or api_getModelFields(type: "video"), depending on the exposed tools. Inspect api_getVideoModelFields or the available model-fields tool for model-specific durations, resolutions, and capabilities. Do not guess model IDs, costs, or supported values.
  4. Use manage-assets to find/import/upload references and check readiness with api_getAsset. Every video input slot takes a Simplified asset UUID from the same workspace, not a local path or remote URL.
  5. Choose storage: "asset" for a reusable video. Generation spends credits; proceed for an explicit request, and clarify material ambiguity in scope/cost before submitting.
  6. Call api_generateVideo once. Current apikit waits for the rendered result; wait for this call before using any continuation tool.
  7. Inspect the actual terminal status and return the rendered video link plus its real asset ID when present. Handle pending/timeout/older deployments as described in references/models-and-polling.md.

Current input contract

Top-level: model, parameters, and chosen storage; optional capability and space_id. All generation controls belong inside parameters.

ModeNested input
Text-to-videoprompt
Animate one imageimage_url: "<asset UUID>" and optional motion prompt
Multiple image guidanceimage_urls: ["<asset UUID>", "<asset UUID>"]
First/last-frame transitionfirst_frame_url and last_frame_url, both asset UUIDs
Source video transformationvideo_url: "<video asset UUID>"
Supported lipsync/audio modesaudio_url or reference_audio_urls, containing audio asset UUIDs

Despite _url in the names, these slots take asset UUIDs. Use the same public slot names across models. Choose only controls the selected model supports, such as duration, resolution, aspect_ratio, or generate_audio. Image-driven modes may derive their ratio from the reference; do not force an unsupported ratio. Omit capability to let the current tool infer it from inputs, or use an explicitly supported mode.

{
  "model": "<discovered image-to-video model ID>",
  "storage": "asset",
  "parameters": {
    "image_url": "<ready image asset UUID>",
    "prompt": "A slow push toward the product, soft light moving across its packaging"
  }
}

Replace placeholders before calling. Do not assume every model supports every slot, duration, or audio option.

Creative quality

Use one readable visual beat for a short clip. Preserve product geometry, packaging, logos, and identity in references; avoid contradictory camera moves. Leave space for overlays when needed. If the client can inspect the output, check it; otherwise state that visual quality has not been inspected. Synthetic people/scenes are not documentary evidence.

Handoff

Use the client’s supported video preview or a usable link; preserve any thumbnail link and permanent asset UUID. Signed URLs can expire. default gallery storage is not a guarantee of a standalone reusable asset; transient may supply only a temporary URL. If no asset ID exists and the user wants reuse, import the downloadable output using api_createAsset. Never invent an asset ID from an art or variation ID.

Pass confirmed assets to simplified-social for drafts when requested. Generating a video does not authorize publishing. Report failures directly and avoid duplicate paid submissions after a timeout.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.