Character Refs
eternityspring/shuohao-skills
给任何故事里的角色真出参考图（小说改编、自己原创的故事、单独设计一个角色都行，不需要小说原文）： 一段话描述角色，拆成分层字段、补全后确认， 先出一张正面全身锚点，其余视图（大头照、90° 侧面、背面、细节、45° 大头照）都只参考这张锚点， 按需分档出图。每张图带标识、可单独重出，重出后自动标出哪些图过期。
Generates images through a 9Router gateway's image endpoint, with model discovery, the request fields and per-provider quirks for OpenAI, Gemini, MiniMax and others.
Install 9Router Image Generation
$ npx skills add decolua/9router --skill 9router-image -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install decolua/9router 9router-image --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/decolua/9router.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/9router-image .claude/skills/9router-image && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "9router-image" agent skill from https://github.com/decolua/9router/tree/master/skills/9router-image into .claude/skills/9router-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "9router-image", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/decolua/9router/tree/master/skills/9router-imageType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add decolua/9router --skill 9router-image -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install decolua/9router 9router-image --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/decolua/9router.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/9router-image .agents/skills/9router-image && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "9router-image" agent skill from https://github.com/decolua/9router/tree/master/skills/9router-image into .agents/skills/9router-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "9router-image", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add decolua/9router --skill 9router-image -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install decolua/9router 9router-image --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/decolua/9router.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/9router-image .cursor/skills/9router-image && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "9router-image" agent skill from https://github.com/decolua/9router/tree/master/skills/9router-image into .cursor/skills/9router-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "9router-image", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/decolua/9router.git --path skills/9router-image--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add decolua/9router --skill 9router-image -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install decolua/9router 9router-image --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/decolua/9router.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/9router-image .gemini/skills/9router-image && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "9router-image" agent skill from https://github.com/decolua/9router/tree/master/skills/9router-image into .gemini/skills/9router-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "9router-image", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install decolua/9router 9router-imageInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add decolua/9router --skill 9router-image -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/decolua/9router.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/9router-image .github/skills/9router-image && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "9router-image" agent skill from https://github.com/decolua/9router/tree/master/skills/9router-image into .github/skills/9router-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "9router-image", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add decolua/9router --skill 9router-image -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install decolua/9router 9router-image --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/decolua/9router.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/9router-image .opencode/skills/9router-image && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "9router-image" agent skill from https://github.com/decolua/9router/tree/master/skills/9router-image into .opencode/skills/9router-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "9router-image", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
9router-image- GitHub stars
- 30k
- Token cost
- ~830 tokens
- SKILL.md length
- 178 words
- Files
- 1
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generates images through a 9Router gateway's image endpoint, with model discovery, the request fields and per-provider quirks for OpenAI, Gemini, MiniMax and others.
- Generating an image from a text prompt through 9Router
- SKILL.md covers Discover, Endpoint, Examples and Response shape, plus 1 more section
- Calls curl and jq; needs NINEROUTER_KEY
- Listing which image models a 9Router instance offers
What it does
The skill calls the `/v1/images/generations` endpoint of a 9Router instance, which fronts models from OpenAI, Gemini Imagen, DALL-E, FLUX, MiniMax, SDWebUI, ComfyUI and Codex. It starts by listing available models from `/v1/models/image` and reading per-model options from `/v1/models/info`. A request carries a model and prompt, plus optional count, size, quality and response format.
Responses come back as a URL by default, as base64 JSON, or as raw image bytes when `?response_format=binary` is added, which suits saving a file. A provider table lists the quirks: some models take only a prompt and ignore size and count, the Codex route needs a ChatGPT Plus or Pro plan and streams its result, and edit or image-to-image modes exist for some providers, with asynchronous polling for a few. The skill needs `NINEROUTER_URL`, and `NINEROUTER_KEY` when authentication is on.
When your agent uses it
- Generating an image from a text prompt through 9Router
- Listing which image models a 9Router instance offers
- Saving a generated image straight to a file
- Choosing size and quality options for a particular provider's model
Example prompts
- “Generate a watercolor lighthouse at dusk with 9Router and save it as lighthouse.png.”
- “List the image models available on our 9Router and show what options dall-e-3 supports.”
- “Make four logo concepts for a bakery called Crumb and return the URLs.”
Requirements
- A reachable 9Router instance with `NINEROUTER_URL` set
- `NINEROUTER_KEY` when authentication is enabled
- curl or a JavaScript runtime to call the endpoint
What it can do on your machine
Read from SKILL.md and the folder at commit ce4460e. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
curljq
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
NINEROUTER_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
9Router Image Generation loads about 830 tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 178 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from decolua/9router at commit ce4460e, republished under its MIT licence (© decolua). 178 words, ~830 tokens.
Download SKILL.mdSave it as
.claude/skills/9router-image/SKILL.md (or your agent's skills folder).- name
- 9router-image
- description
- Generate images via 9Router /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).
9Router — Image Generation
Requires NINEROUTER_URL (and NINEROUTER_KEY if auth enabled). See https://raw.githubusercontent.com/decolua/9router/refs/heads/master/skills/9router/SKILL.md for setup.
Discover
curl $NINEROUTER_URL/v1/models/image | jq '.data[].id'
# Per-model params/options (size enum, quality enum, capabilities like edit)
curl "$NINEROUTER_URL/v1/models/info?id=openai/dall-e-3"Endpoint
POST $NINEROUTER_URL/v1/images/generations
| Field | Required | Notes |
|---|---|---|
model | yes | from /v1/models/image |
prompt | yes | image description |
n | no | count (provider-dependent) |
size | no | 1024x1024, 1792x1024, ... |
quality | no | standard / hd (OpenAI) |
response_format | no | url (default) or b64_json |
Add query ?response_format=binary to receive raw image bytes (handy for saving file).
Examples
Save to file (binary):
curl -X POST "$NINEROUTER_URL/v1/images/generations?response_format=binary" \
-H "Authorization: Bearer $NINEROUTER_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"gemini/gemini-3-pro-image-preview","prompt":"watercolor mountains at sunrise","size":"1024x1024"}' \
--output out.pngJS (URL response):
const r = await fetch(`${process.env.NINEROUTER_URL}/v1/images/generations`, {
method: "POST",
headers: { "Authorization": `Bearer ${process.env.NINEROUTER_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):
{ "created": 1735000000, "data": [{ "url": "https://..." }] }response_format=b64_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:
| Provider | Extra/changed fields | Notes |
|---|---|---|
openai, minimax, openrouter, recraft | quality, style, response_format | Standard OpenAI shape |
gemini (nano-banana) | — | Only prompt; ignores size/n |
codex (gpt-5.4-image) | image, images[], image_detail, output_format, background | SSE stream; ChatGPT Plus/Pro required |
huggingface | — | Only prompt; returns single image |
nanobanana | image, images[] (edit mode) | size → aspect ratio; async polling |
fal-ai | image (img2img) | n → num_images; size → ratio; async |
stability-ai | style (preset), output_format | size → aspect_ratio |
black-forest-labs (FLUX) | image (ref) | size → exact width/height; async |
runwayml | image (ref) | size → ratio; async; video models exist |
sdwebui, comfyui | — | Localhost noAuth (:7860 / :8188) |
© decolua, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/9router-image of decolua/9router.
Open the folder on GitHubat commit ce4460e
Compare with similar skills
9Router Image Generation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| 9Router Image Generation this skilldecolua/9router | 30k | — | ~830 | Automated safety check: Pass | MIT | |
| Character Refseternityspring/shuohao-skills | 4.3k | — | ~1.7k | Automated safety check: Warn | Apache-2.0 | |
| Image Genopen-octo/octo-agent | 125 | — | ~3.1k | Automated safety check: Notes | MIT | |
| AI Image Creatorevolution-foundation/evo-nexus | 545 | — | ~5.1k | Automated safety check: Notes | Custom licence | |
| ComfyUI Local DriverSlavaSexton/ComfyUI-Agent-Kit | 105 | — | ~12k | Automated safety check: Pass | Apache-2.0 | |
| Minimax H3calesthio/OpenMontage | 66k | — | ~580 | Automated safety check: Pass | AGPL-3.0 |
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Related
Categories
Questions about 9Router Image Generation
What does 9Router Image Generation do?
Generates images through a 9Router gateway's image endpoint, with model discovery, the request fields and per-provider quirks for OpenAI, Gemini, MiniMax and others. The skill calls the `/v1/images/generations` endpoint of a 9Router instance, which fronts models from OpenAI, Gemini Imagen, DALL-E, FLUX, MiniMax, SDWebUI, ComfyUI and Codex. It starts by listing available models from `/v1/models/image` and reading per-model options from `/v1/models/info`.
When should I use 9Router Image Generation?
9Router Image Generation fits situations like: generating an image from a text prompt through 9Router; listing which image models a 9Router instance offers; saving a generated image straight to a file; choosing size and quality options for a particular provider's model.
How do I install 9Router Image Generation in Claude Code?
Run `npx skills add decolua/9router --skill 9router-image -a claude-code`. Or copy the skill folder (skills/9router-image in decolua/9router) into .claude/skills/9router-image in your project. Claude Code loads it when a task matches its description.
How do I install 9Router Image Generation in Codex?
Run `npx skills add decolua/9router --skill 9router-image -a codex`. Or copy the skill folder (skills/9router-image in decolua/9router) into .agents/skills/9router-image in your project. Codex loads it when a task matches its description.
Can I use 9Router Image Generation in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add decolua/9router --skill 9router-image -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/9router-image, .gemini/skills/9router-image, .github/skills/9router-image and .opencode/skills/9router-image in your project.
What does 9Router Image Generation need to run?
Going by SKILL.md and its folder, 9Router Image Generation needs the command-line tools its instructions call (curl and jq) and credentials named NINEROUTER_KEY. Our summary lists: A reachable 9Router instance with `NINEROUTER_URL` set; `NINEROUTER_KEY` when authentication is enabled; curl or a JavaScript runtime to call the endpoint.
Does 9Router Image Generation access the network?
SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is 9Router Image Generation safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does 9Router Image Generation use?
9Router Image Generation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does 9Router Image Generation use?
About 830 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to 9Router Image Generation?
Skills that share tags, products or a category with 9Router Image Generation: Character Refs (eternityspring/shuohao-skills, 4.3k stars), Image Gen (open-octo/octo-agent, 125 stars), AI Image Creator (evolution-foundation/evo-nexus, 545 stars) and ComfyUI Local Driver (SlavaSexton/ComfyUI-Agent-Kit, 105 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains 9Router Image Generation?
decolua (a GitHub user) maintains it in decolua/9router, which has 30,491 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 8, 2026.
Source: decolua/9router on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.