Video Router logo

Video Router

Community
Orkas-AI
video-router

Read this FIRST on any video-production request to pick and lock the line — generate (AI footage), compose (designed HTML), edit (cut real footage), or AUTO end-to-end. Trigger when classifying a brief and committing to a primary path; do NOT trigger for authoring compositions, generating assets, or rendering output (those have their own stage skills).

Overview

PublisherOrkas-AI
RepositoryOrkas-VideoStudio
Skill namevideo-router
Stars
500
Forks
25
Bundled files
1
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.

  • 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 Orkas-AI on GitHub. Read the source before you install it.

Installation

Install the Video Router 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.
    https://github.com/Orkas-AI/Orkas-VideoStudio/tree/main/packages/skills/video-router
  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/Orkas-AI/Orkas-VideoStudio.git /tmp/Orkas-VideoStudio
mkdir -p .claude/skills
cp -r /tmp/Orkas-VideoStudio/packages/skills/video-router .claude/skills/video-router
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Video Router 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 Router 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 Router 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

Knowledge for picking a video production line and locking it before work begins. This skill is read for guidance; it describes what to decide, not any tool mechanics.

Read production method and current-video checks before deep reference analysis or delivery review. It distinguishes direct provider output from locally assembled output using the current executable plan, not the route label.

Unavailable Production Runtime

If production, rendering, or paid tools are explicitly unavailable, still select the line and return a complete unexecuted production package for a clear brief: assumptions, script/narration, timed storyboard/shotlist, exact visible copy and captions, visual/audio direction, rights-safe asset provenance/fallbacks, export target, preview checklist, and final encoding/playback QA. Clearly distinguish planned from produced media and do not withhold the package behind a direction form.

The three capability axes

A finished video is built from one or more of three orthogonal axes. Decide which dominate, then lock them.

  • Generate (A) — AI-generated footage/imagery: photoreal shots, b-roll, motion, talking-head. Use when the brief needs real-looking or cinematic visuals.
  • Compose (B) — deterministic HTML composition: explainers, kinetic typography, motion graphics, captions / lower-thirds / overlays, data viz, title cards, transitions. Use when the visuals are designed rather than filmed. This is the default for explainer/animation work.
  • Edit (C) — intelligent editing of supplied footage: evidence-based selection/cleanup, deterministic cut/join/reframe/captions/audio work, and semantic AI video editing for bounded pixel-level changes.

Decision rules

  1. First distinguish an edit target from a production input. Keeping supplied video or its timeline as the spine remains EDIT, including captions, overlays, localization and supplied narration. Video used only as a reference, or supplied images/audio/scripts, do not select EDIT. Ask only if the requested output is ambiguous.
  2. Read the brief (topic, aspect ratio, language, duration) and classify the dominant work object:
    • "explain / teach / animate / motion-graphics / kinetic text" → Compose (B) primary, optionally Generate (A) for b-roll.
    • "make footage of / cinematic / a scene of / a character doing" → Generate (A) primary, Compose (B) to overlay captions.
    • "cut / clip / trim / repurpose / make highlights / remove or change something in my video" → Edit (C) primary. Keep EDIT as the route even when a billable operation:"edit" segment is required.
  3. Most explainer/animation requests are Compose-primary: typographic and motion-graphic scenes assembled as an HTML composition, with AI imagery only where a shot genuinely needs it.
  4. For supplied reference media, classify the requested relationship as reproduce, edit, or guide before choosing execution. Apply the same classification regardless of origin. Images can control content/identity/composition/structure/style; videos can additionally control motion/timing/audio through temporal anchors.
  5. Aspect ratio drives the canvas: 16:9 → 1920×1080, 9:16 → 1080×1920, 1:1 → 1080×1080.

End-to-end (AUTO) — when the job spans lines

Pick a single line when one axis cleanly dominates (just trim a clip; just an explainer; just generate a scene). Route to AUTO end-to-end when the deliverable genuinely needs MORE THAN ONE axis woven into the primary timeline — most often the user supplies their own material AND wants finished framing/voice/motion around it:

  • "use my clip in the middle, author a motion-graphics opener, and add generated b-roll" (edit + compose + generate)
  • "my footage in the middle, generate an opener, compose the stats" (edit + generate + compose)
  • "make a finished video from these assets" where the assets alone are not the deliverable.

AUTO does not abandon the axes — it sequences them through one cross-modal plan (stage-plan builds the EDL, stage-assemble walks it), delegating each segment back to the generate / compose / edit lines. Choosing AUTO is itself the lock: the primary still gets named via the plan's delivery_promise (source_led / motion_led / compose_led / hybrid).

Lock the runtime

  • Decide the primary axis at the brief/proposal stage and state it in the proposal.
  • Once locked, do not silently switch the primary axis mid-run. If a later step reveals the wrong choice, surface it to the user and re-confirm rather than quietly changing course.
  • Layering is fine and expected (e.g. Compose captions over Generated footage); "locking" governs the primary path, not the allowed overlays.

Boundary / non-goals

This skill only routes and locks. Semantic editing is not a silent switch to GENERATE: it remains an EDIT/AUTO job with a signed billable video edit segment and explicit original/preservation boundary.

Runtime handoff

For a fully specified one-shot deterministic edit, state EDIT, probe and execute through stage-edit without a direction artifact or plan. Load stage-decide first only when the content or timing must be located.

For other production work, show two or three direction concepts and the facts already settled by the brief. Do not write a manifest, narration or art direction before that choice. Follow gate-control for the decision and its localized title. The public runtime uses OVS and HyperFrames; do not invent desktop-host operations.

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 Router AI skill do?

Read this FIRST on any video-production request to pick and lock the line — generate (AI footage), compose (designed HTML), edit (cut real footage), or AUTO end-to-end. Trigger when classifying a brief and committing to a primary path; do NOT trigger for authoring compositions, generating assets, or rendering output (those have their own stage skills).

Why use Video Router on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Orkas-AI/Orkas-VideoStudio/tree/main/packages/skills/video-router. 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 Router?

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 Router?

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

Is the Video Router AI skill free?

Yes. It is published on GitHub by Orkas-AI 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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