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Oma Video

OrganizationPopular
first-fluke
oma-video

Create short, explainer, or recorded-demo videos through the OMA video CLI. Use for scripts, narration, assets, composition, and video delivery.

Overview

Publisherfirst-fluke
Repositoryoh-my-agent
Skill nameoma-video
Stars
1.3K
Forks
149
Bundled files
13
LicenseMIT
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.

  • 13 bundled files

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

  • Open source

    Published by first-fluke on GitHub. Read the source before you install it.

Installation

Install the Oma Video 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/first-fluke/oh-my-agent.git /tmp/oh-my-agent
mkdir -p .claude/skills
cp -r /tmp/oh-my-agent/skills/oma-video .claude/skills/oma-video
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Oma Video 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 Oma Video 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 Oma Video 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 Router

Scheduling

When to use

Use this skill for a short/reel, README or code explainer, or demo walkthrough.

RequestModeDefault aspectRequired source
Short, reel, social clipshorts9:16Topic or brief
README, code, data explanationexplainer16:9Topic or source path
Demo or walkthroughdemo16:9Human recording via --capture

When NOT to use

Use oma-image for a still image, oma-slide for a deck, oma-voice for audio only, and oma-explanation for an interactive HTML explainer. Editing an existing finished video and live streaming are out of scope.

Structural Flow

Inputs are a brief plus optional mode, aspect, locale, captions, visual, voice, music, duration, compositor, capture path, and seed. Outputs live in .agents/results/videos/<timestamp>-<shortid>-<mode>/:

  • script.json, timing.json, and render-spec.json form the deterministic asset bus.
  • Captions and acquired audio/visual assets are recorded in manifest.json with hashes, providers, cost, warnings, and exit code.
  • A successful real render contains <mode>-<slug>.mp4, an encoded video stream, and a positive ffprobe duration.

OMA_VIDEO_MOCK=1 is a test harness only. It can create deterministic text placeholders with an .mp4 name; those files are never a user deliverable. A missing Remotion/MPT toolchain, an un-authored composition, a render error, or an invalid video fails with diagnostics and leaves the script/render spec for recovery.

Decide and confirm

Infer mode when clear: short/reel -> shorts; README/code/data/explain -> explainer; demo/walkthrough/capture -> demo. For a one-line request, state the inferred mode, aspect, duration, visual strategy, captions, locale, and voice/music before invoking. Do not make the user complete a questionnaire when those defaults are clear.

Ask only when it changes the result: an ambiguous mode/source, a required demo recording, or a cost confirmation. Respect an explicit mode, aspect, duration, captions, or voice verbatim.

For a demo, a human records the screen and controls login. --source web --url provides context only; it never automates login or starts a recorder. Without --capture, return guided capture instructions and stop.

Logical Operations

Guardrails

  1. Keep output and capture paths inside $PWD unless external output is explicitly allowed. Validate capture formats and copy external assets into the run directory. Mask URL query/hash tokens in logs and manifests.
  2. Provider configuration is key-optional: use the configured chain. Paid providers require their environment key and the cost guardrail. Local fallbacks may replace voice, visuals, captions, or music; record coverage in warnings. A compositor failure is never a fallback video.
  3. Confirm estimated spend at or above cost.guardrail_usd or --max-usd unless --yes or OMA_VIDEO_YES=1 authorizes it.
  4. Respect limits.max_duration_sec (180) and limits.max_scenes (40). Cancel subprocess work on SIGINT/SIGTERM.
  5. Keep run directories. Never auto-prune a user’s video artifacts.
  6. --dry-run writes only planning artifacts and does no provider render. It does not prove an MP4 exists.

Canonical command path

bash
# Plan or create the asset bus. Supply --script whenever an agent authored it.
oma video generate "Jeju coffee" --mode shorts --aspect 9:16 \
  --captions tiktok --script ./script.json --output json

# Deterministic planning only; no real render or provider work.
oma video generate "explain this project" --mode explainer --seed 42 --dry-run

# Human-recorded demo input.
oma video generate "feature walkthrough" --mode demo --capture <absolute-path>.mp4

# Scaffold the per-run Remotion project, author src/Root.tsx as instructed,
# then render and validate the encoded output.
oma video compose <runDir> --output json
oma video render <runDir> --output json

# Diagnose required toolchains without changing a run.
oma video doctor
oma video provider list

oma video generate --output json returns {exitCode, runDir, manifestPath, scriptPath, renderSpecPath, warnings, error}. Read video and asset paths from the manifest; the JSON envelope has no outputs field.

Failure and recovery

  • Missing Remotion composition: oma video compose <runDir> prepares the project and authoring contract. Author <runDir>/remotion/src/Root.tsx using the generated AUTHORING.md, then invoke oma video render <runDir>. The command typechecks, renders, and ffprobes the output. Fix a reported composition or toolchain failure and re-run; return a failure report when it cannot render.

  • Missing MPT toolchain: --compositor mpt requires the installed checkout, its virtual environment, and ffmpeg. Use oma video doctor --install-mpt when setup is authorized and available. MPT setup failures, driver failures, and non-video output fail with the diagnostic; they do not write a placeholder MP4.

Success means all asset schemas and manifest hashes validate and a real MP4 passes video-stream and duration validation. A partial success may use a key-free visual, timing, caption, or music fallback, but it still requires that real video validation.

References

Conditional resources

Load only what the task needs:

  • resources/execution-protocol.md for the full ordered pipeline, failure mapping, and JSON reporting rules.
  • resources/vendor-matrix.md before changing providers, keys, cost, or fallback order.
  • resources/script-schema.md when authoring or validating --script input.
  • resources/prompt-tips.md when turning a brief into scene prompts.
  • resources/remotion-authoring/README.md and the selected mode guide before writing Root.tsx.
  • resources/checklist.md before handing a real video to a user.

Verification

For CLI/runtime changes, add a regression test for the affected success and failure paths. At minimum run the focused Vitest files, for example:

bash
cd cli
bunx vitest run commands/video/providers/compositor.test.ts \
  commands/video/orchestrator.test.ts
bunx biome check commands/video/providers/compositor.ts \
  commands/video/providers/compositor.test.ts

Do not run a live render merely to test documentation or a mock-only branch.

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 Oma Video AI skill do?

Create short, explainer, or recorded-demo videos through the OMA video CLI. Use for scripts, narration, assets, composition, and video delivery.

Why use Oma Video on TypingMind?

Because you install it once and use it with any model. Oma Video 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 Oma Video in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/first-fluke/oh-my-agent/tree/main/skills/oma-video. 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 Oma Video?

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 Oma Video?

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

Is the Oma Video AI skill free?

Yes. It is published on GitHub by first-fluke under the MIT 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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