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Flagshiprouter Image

Community
theRizwan
flagshiprouter-image

Generate images via FlagshipRouter /v1/images/generations using OpenAI / Gemini Imagen / DALL-E / FLUX / MiniMax / SDWebUI / ComfyUI / Codex models. Use when the user wants to create, generate, draw, or render an image, picture, or text-to-image (txt2img).

Overview

PublishertheRizwan
RepositoryFlagshipRouter
Skill nameflagshiprouter-image
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 Image 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-image
  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-image .claude/skills/flagshiprouter-image
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Flagshiprouter Image 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 Image 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 Image 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 — Image Generation

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.

Discover

bash
curl $FLAGSHIPROUTER_URL/v1/models/image | jq '.data[].id'
# Per-model params/options (size enum, quality enum, capabilities like edit)
curl "$FLAGSHIPROUTER_URL/v1/models/info?id=openai/dall-e-3"

Endpoint

POST $FLAGSHIPROUTER_URL/v1/images/generations

FieldRequiredNotes
modelyesfrom /v1/models/image
promptyesimage description
nnocount (provider-dependent)
sizeno1024x1024, 1792x1024, ...
qualitynostandard / hd (OpenAI)
response_formatnourl (default) or b64_json

Add query ?response_format=binary to receive raw image bytes (handy for saving file).

Examples

Save to file (binary):

bash
curl -X POST "$FLAGSHIPROUTER_URL/v1/images/generations?response_format=binary" \
  -H "Authorization: Bearer $FLAGSHIPROUTER_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gemini/gemini-3-pro-image-preview","prompt":"watercolor mountains at sunrise","size":"1024x1024"}' \
  --output out.png

JS (URL response):

js
const r = await fetch(`${process.env.FLAGSHIPROUTER_URL}/v1/images/generations`, {
  method: "POST",
  headers: { "Authorization": `Bearer ${process.env.FLAGSHIPROUTER_KEY}`, "Content-Type": "application/json" },
  body: JSON.stringify({ model: "gemini/gemini-3-pro-image-preview", prompt: "neon city", size: "1024x1024" }),
});
const { data } = await r.json();
console.log(data[0].url || data[0].b64_json.slice(0, 40));

Response shape

JSON (default response_format=url):

json
{ "created": 1735000000, "data": [{ "url": "https://..." }] }

response_format=b64_json:

json
{ "created": 1735000000, "data": [{ "b64_json": "iVBORw0KGgo..." }] }

Query ?response_format=binary returns raw image bytes (Content-Type image/png or image/jpeg).

Provider quirks

Common fields above work everywhere. These add/override:

ProviderExtra/changed fieldsNotes
openai, minimax, openrouter, recraftquality, style, response_formatStandard OpenAI shape
gemini (nano-banana)—Only prompt; ignores size/n
codex (gpt-5.4-image)image, images[], image_detail, output_format, backgroundSSE stream; ChatGPT Plus/Pro required
huggingface—Only prompt; returns single image
nanobananaimage, images[] (edit mode)size → aspect ratio; async polling
fal-aiimage (img2img)n → num_images; size → ratio; async
stability-aistyle (preset), output_formatsize → aspect_ratio
black-forest-labs (FLUX)image (ref)size → exact width/height; async
runwaymlimage (ref)size → ratio; async; video models exist
sdwebui, comfyui—Localhost noAuth (:7860 / :8188)

Frequently asked questions

What does the Flagshiprouter Image AI skill do?

Generate images via FlagshipRouter /v1/images/generations using OpenAI / Gemini Imagen / DALL-E / FLUX / MiniMax / SDWebUI / ComfyUI / Codex models. Use when the user wants to create, generate, draw, or render an image, picture, or text-to-image (txt2img).

Why use Flagshiprouter Image on TypingMind?

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

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

Which AI models can use Flagshiprouter Image?

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 Image?

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

Is the Flagshiprouter Image 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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