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Flagshiprouter Video

Community
theRizwan
flagshiprouter-video

Generate videos via FlagshipRouter /v1/videos/generations using xAI Grok Imagine (grok-imagine-video). Async job flow - submit, poll request_id until done, download MP4. Use when the user wants to create, generate, or render a video, text-to-video (txt2vid), or image-to-video.

Overview

PublishertheRizwan
RepositoryFlagshipRouter
Skill nameflagshiprouter-video
Stars
199
Forks
82
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Flagshiprouter 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.
    https://github.com/theRizwan/FlagshipRouter/tree/main/skills/flagshiprouter-video
  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/theRizwan/FlagshipRouter.git /tmp/FlagshipRouter
mkdir -p .claude/skills
cp -r /tmp/FlagshipRouter/skills/flagshiprouter-video .claude/skills/flagshiprouter-video
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Flagshiprouter 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 Flagshiprouter 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 Flagshiprouter 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.

FlagshipRouter — Video Generation (xAI Grok Imagine)

Requires FLAGSHIPROUTER_URL (and FLAGSHIPROUTER_KEY if auth enabled). See https://raw.githubusercontent.com/theRizwan/FlagshipRouter/refs/heads/main/skills/flagshiprouter/SKILL.md for setup.

Requires a connected xAI account in the FlagshipRouter dashboard — either Grok Build OAuth (SuperGrok / X Premium+ subscription sign-in) or a direct xAI API key from console.x.ai. The two are separate auth types with separate billing; the dashboard shows which one each connection uses.

Endpoints (async job flow)

Video generation is asynchronous: the POST returns a request_id immediately, then you poll until the job is done or failed.

EndpointPurpose
POST /v1/videos/generationstext-to-video / image-to-video
POST /v1/videos/editsedit an existing video
POST /v1/videos/extensionsextend an existing video
GET /v1/videos/{request_id}poll job status

Request fields (passed through to xAI unchanged — see https://docs.x.ai/developers/rest-api-reference/inference/videos):

FieldRequiredNotes
modelnoxai/grok-imagine-video (prefix is stripped before upstream)
promptyes for T2Vvideo description
durationnoseconds
aspect_rationo16:9, 9:16, 1:1, 4:3, 3:4, 3:2, 2:3
resolutionno480p, 720p, 1080p
imageno{ "url": "https://… or data:image/…;base64,…" } for image-to-video
videoedits/extensions{ "url": "…mp4" } or { "file_id": "…" }

Examples

Submit a job:

bash
curl -X POST "$FLAGSHIPROUTER_URL/v1/videos/generations" \
  -H "Authorization: Bearer $FLAGSHIPROUTER_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"xai/grok-imagine-video","prompt":"A cinematic tracking shot through a neon city at night","duration":8,"aspect_ratio":"16:9","resolution":"720p"}'
# → {"request_id":"abc123"}   (response header x-flagshiprouter-connection-id: <id>)

Poll until done (echo the connection header back so the same account polls the job):

bash
curl "$FLAGSHIPROUTER_URL/v1/videos/abc123" \
  -H "Authorization: Bearer $FLAGSHIPROUTER_KEY" \
  -H "x-connection-id: <id from create response>"
# → {"status":"pending","progress":42}
# → {"status":"done","video":{"url":"https://…mp4","duration":8},"model":"grok-imagine-video"}
# → {"status":"failed","error":{"code":"…","message":"…"}}

Download: fetch video.url from the done response.

CLI one-shot

bash
flagshiprouter xai video \
  --prompt "A cinematic tracking shot through a neon city at night" \
  --output video.mp4
# options: --model --duration --aspect-ratio --resolution --image --timeout --port --api-key

Submits, polls with progress, downloads to video.mp4.part, atomically renames on success. Ctrl+C cancels cleanly; non-zero exit on failure.

Notes & limits

  • Jobs are account-bound upstream: poll with the same connection that created the job (x-connection-id header, value from the create response's x-flagshiprouter-connection-id).
  • Creation POSTs are never auto-retried (a retry could create and bill two videos). Only a 401→token-refresh→single-retry is performed, which upstream rejects before job creation.
  • Video models are tagged kind: "video" and are excluded from chat model lists and chat fallback combos.
  • Grok Build subscription OAuth tokens are sent to the same api.x.ai/v1/videos endpoints as API keys; whether a given subscription tier includes video-generation quota is controlled by xAI and is not verified by FlagshipRouter — a 403/permission_denied from upstream means the connected account has no video access.

Frequently asked questions

What does the Flagshiprouter Video AI skill do?

Generate videos via FlagshipRouter /v1/videos/generations using xAI Grok Imagine (grok-imagine-video). Async job flow - submit, poll request_id until done, download MP4. Use when the user wants to create, generate, or render a video, text-to-video (txt2vid), or image-to-video.

Why use Flagshiprouter Video on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/theRizwan/FlagshipRouter/tree/main/skills/flagshiprouter-video. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Flagshiprouter 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 Flagshiprouter Video?

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

Is the Flagshiprouter Video AI skill free?

Yes. It is published on GitHub by theRizwan 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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