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Video Still Animator

OrganizationPopular
TokenRhythm
video-still-animator

Turn a single still image (PNG/JPG) into a short MP4 with a slow Ken-Burns zoom and a silent audio track. Pure ffmpeg wrapper. Designed as the on_failure substitute for AI video-gen steps that get blocked by content moderation: when seedance refuses, this skill emits a valid replacement clip from the already-generated still so a downstream merge can still produce a complete deliverable.

Overview

PublisherTokenRhythm
Repositoryopensquilla
Skill namevideo-still-animator
Stars
7K
Forks
566
Bundled files
1
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by TokenRhythm on GitHub. Read the source before you install it.

Installation

Install the Video Still Animator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/TokenRhythm/opensquilla.git /tmp/opensquilla
mkdir -p .claude/skills
cp -r /tmp/opensquilla/src/opensquilla/skills/bundled/video-still-animator .claude/skills/video-still-animator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Video Still Animator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Video Still Animator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Video Still Animator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

video-still-animator — Ken-Burns fallback clip from a still

Produces a short MP4 from a single PNG/JPG using ffmpeg's zoompan filter, so a downstream merge step still has a clip for every shot when an upstream AI video generation step gets blocked.

Why this skill exists

seedance-2-prompt (and any platform-moderated video model) can refuse individual requests for reasons that have nothing to do with the prompt's narrative quality:

  • input photo contains a recognisable real person face
  • output audio gets flagged by the safety classifier
  • the moderation model's similarity threshold drifts day to day

In meta-short-drama we always have a fresh PNG on disk before the seedance call runs, so the cheapest "the show must go on" fallback is to turn that PNG into a Ken-Burns clip and feed it to the merger. The clip won't have the camera motion the prompt asked for, but the character, framing, and timing will still match the script.

Inputs (with:)

keyrequireddefaultnotes
input_imageyesPNG or JPG path.
output_pathyesOutput .mp4 path. Parent dir created if missing.
durationno5Clip length in seconds.
widthno720Output width. Match the merge step's pipeline.
heightno1280Output height. 720x1280 = 9:16.
fpsno24Output frame rate.
zoom_rateno0.0015Per-frame zoom delta; 0.0015 over 5s ≈ 1.18× final zoom.

Output specs

  • H.264 video at the requested resolution + fps
  • AAC silent audio track (so merge steps that demux/remux audio do not trip on a missing stream)
  • +faststart MP4 (web playback friendly)

Dependencies

  • ffmpeg ≥ 5.0 on PATH (or pass --ffmpeg-path directly).

On Windows the script also probes the winget Gyan.FFmpeg install path, Scoop, Chocolatey, and C:\Program Files\ffmpeg\bin before giving up.

Use as on_failure substitute

In a meta-skill DAG, hang it off the real video step:

yaml
- id: shot1_video
  kind: skill_exec
  skill: seedance-2-prompt
  on_failure: shot1_video_fallback
  with: { ... }

- id: shot1_video_fallback
  kind: skill_exec
  skill: video-still-animator
  with:
    input_image: "{{ inputs.workspace_dir }}/.../1_shot.png"
    output_path: "{{ inputs.workspace_dir }}/.../1_shot.mp4"

The fallback must be a standalone step (no depends_on, no own on_failure) per the meta-skill engine rules. The PNG must already exist on disk by the time the parent step fails — that's true here because the image step always runs before the video step.

Limits

  • Static framing only. The zoom is uniform centre-anchored; no pan, no rotation, no parallax. For richer fallback motion, generate a fresh set of stills and call this multiple times.
  • No real audio. The intent is a placeholder that survives the merge; add a real soundtrack downstream if needed.
  • ffmpeg version drift: very old ffmpeg (<4) may not accept the exact zoompan filter syntax; install ≥ 5.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Video Still Animator AI skill do?

Turn a single still image (PNG/JPG) into a short MP4 with a slow Ken-Burns zoom and a silent audio track. Pure ffmpeg wrapper. Designed as the on_failure substitute for AI video-gen steps that get blocked by content moderation: when seedance refuses, this skill emits a valid replacement clip from the already-generated still so a downstream merge can still produce a complete deliverable.

Why use Video Still Animator on TypingMind?

Because you install it once and use it with any model. Video Still Animator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Video Still Animator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TokenRhythm/opensquilla/tree/main/src/opensquilla/skills/bundled/video-still-animator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Video Still Animator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Video Still Animator?

As many as you like. As long as a model supports skills, you can use Video Still Animator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Video Still Animator AI skill free?

Yes. It is published on GitHub by TokenRhythm under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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