openrouter-images
Generate images from text prompts and edit existing images using OpenRouter's image generation models. Use when the user asks to create, generate, or make an image, picture, or illustration from a description, or wants to edit, modify, transform, or alter an existing image with a text prompt.
What this skill does
# OpenRouter Images
Generate images from text prompts and edit existing images via OpenRouter's chat completions API with image modalities.
## Prerequisites
The `OPENROUTER_API_KEY` environment variable must be set. Get a key at https://openrouter.ai/keys
## First-Time Setup
```bash
cd <skill-path>/scripts && npm install
```
## Decision Tree
Pick the right script based on what the user is asking:
| User wants to... | Script | Example |
|---|---|---|
| Generate an image from a text description | `generate.ts "prompt"` | "Create an image of a sunset over mountains" |
| Generate with specific aspect ratio | `generate.ts "prompt" --aspect-ratio 16:9` | "Make a wide landscape image of a forest" |
| Generate with a different model | `generate.ts "prompt" --model <id>` | "Generate using gemini-2.5-flash-image" |
| Edit or modify an existing image | `edit.ts path "prompt"` | "Make the sky purple in photo.png" |
| Transform an image with instructions | `edit.ts path "prompt"` | "Add a party hat to the animal in this image" |
## Generate Image
Create a new image from a text prompt:
```bash
cd <skill-path>/scripts && npx tsx generate.ts "a red panda wearing sunglasses"
cd <skill-path>/scripts && npx tsx generate.ts "a futuristic cityscape at night" --aspect-ratio 16:9
cd <skill-path>/scripts && npx tsx generate.ts "pixel art of a dragon" --output dragon.png
cd <skill-path>/scripts && npx tsx generate.ts "a watercolor painting" --model google/gemini-2.5-flash-image
```
### Options
| Flag | Description | Default |
|---|---|---|
| `--model <id>` | OpenRouter model ID | `google/gemini-3.1-flash-image-preview` |
| `--output <path>` | Output file path | `image-YYYYMMDD-HHmmss.png` |
| `--aspect-ratio <r>` | Aspect ratio (e.g. `16:9`, `1:1`, `4:3`) | Model default |
| `--image-size <s>` | Image size (e.g. `1K`, `2K`) | Model default |
## Edit Image
Modify an existing image with a text prompt:
```bash
cd <skill-path>/scripts && npx tsx edit.ts photo.png "make the sky purple"
cd <skill-path>/scripts && npx tsx edit.ts avatar.jpg "add a party hat" --output avatar-hat.png
cd <skill-path>/scripts && npx tsx edit.ts scene.png "convert to watercolor style" --model google/gemini-2.5-flash-image
```
### Options
| Flag | Description | Default |
|---|---|---|
| `--model <id>` | OpenRouter model ID | `google/gemini-3.1-flash-image-preview` |
| `--output <path>` | Output file path | `image-YYYYMMDD-HHmmss.png` |
| `--aspect-ratio <r>` | Aspect ratio (e.g. `16:9`, `1:1`, `4:3`) | Model default |
| `--image-size <s>` | Image size (e.g. `1K`, `2K`) | Model default |
Supported input formats: `.png`, `.jpg`, `.jpeg`, `.webp`, `.gif`
## Output Format
### generate.ts
```json
{
"model": "google/gemini-3.1-flash-image-preview",
"prompt": "a red panda wearing sunglasses",
"images_saved": ["/absolute/path/to/image-20260305-143022.png"],
"count": 1
}
```
### edit.ts
```json
{
"model": "google/gemini-3.1-flash-image-preview",
"source_image": "photo.png",
"prompt": "make the sky purple",
"images_saved": ["/absolute/path/to/image-20260305-143055.png"],
"count": 1
}
```
## API Response Shapes
Image generation uses `POST /api/v1/responses` with `modalities: ["image", "text"]`. See the [Responses API reference](https://openrouter.ai/docs/api/reference/responses/overview) and [image generation guide](https://openrouter.ai/docs/guides/overview/multimodal/image-generation) for full request details.
The image-specific output item type is `image_generation_call` — this is not obvious from the general Responses API docs:
```json
{
"type": "image_generation_call",
"id": "imagegen-abc123",
"status": "completed",
"result": "<base64-encoded image data>"
}
```
This appears alongside standard `message` output items in the `output` array. Text and image outputs may each be absent depending on the model and prompt.
## Using a Different Model
The default model is `google/gemini-3.1-flash-image-preview` (Nano Banana 2). To use a different model, pass `--model <id>` with any OpenRouter model ID that supports image output modalities.
Use the `openrouter-models` skill to discover image-capable models:
```bash
cd <openrouter-models-skill-path>/scripts && npx tsx search-models.ts --modality image
```
## Presenting Results
- After generating or editing, display the saved image to the user
- Include the model used and any text response the model provided (printed to stderr)
- If multiple images are returned, show all of them
- When the user doesn't specify an output path, tell them where the file was saved
- For edit operations, mention the source image that was modified
Related in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
IncludedUser-triggered deep architectural analysis of a codebase or scoped subtree across eight modes — information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find the integration points," "verify the layout pattern," "audit the UX architecture," or any similar request whose primary deliverable is mermaid diagrams plus cited reports under docs/architecture/. Dispatches haiku/sonnet sub-agents in parallel for per-mode exploration, then verifies every citation mechanically before any node lands in a diagram. Not for one-off prose explanations of code (use code-explanation) or for high-level system design from scratch (use system-design).
mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
IncludedDesign, build, debug, and optimise high-polish animated graphics in React Native or Expo using @shopify/react-native-skia, Reanimated, and Gesture Handler. Use when the user wants canvas-driven UI, shaders, paths, rich text, image filters, sprite fields, Skottie, video frames, snapshots, web CanvasKit setup, or performance tuning for custom motion-heavy elements such as loaders, hero art, cards, charts, progress indicators, particle systems, or gesture-driven surfaces. Also use when the user asks for fluid, glow, glass, blob, parallax, 60fps/120fps, or GPU-friendly animated effects in React Native, even if they do not explicitly say "Skia". Do not use for ordinary form/layout work with standard views.
plaid
IncludedProduct Led AI Development — guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
IncludedAdds production-safe Motion for React or Framer Motion animations to Next.js apps, including reveal, hover and tap micro-interactions, whileInView, stagger, AnimatePresence, layout and layoutId transitions, reorder, scroll-linked UI, and lightweight route-content transitions. Use when the user asks to add, refactor, or debug Motion or Framer Motion in App Router or Pages Router codebases, especially around server/client boundaries, reduced motion, LazyMotion, bundle size, hydration, or route transitions. Avoid for GSAP-style timelines, WebGL or 3D scenes, heavy scroll storytelling, or CSS-only effects unless Motion is explicitly requested.