imagegen
This skill should be used when the user asks to "generate an image", "create a cover image", "make an illustration", "generate artwork", "create a hero image", "generate a logo", "make a banner", "create an image for", "generate a thumbnail", "make an icon", "create visual content", "edit this image", "restyle this image", "compose these images", or needs AI-generated or AI-edited images for their project. Provides a CLI with JSON output optimized for LLM consumption.
What this skill does
# imagegen Text-to-image and image-editing CLI backed by Google Gemini's Nano Banana 2 family. JSON output. ## CLI - Path: `./imagegen-cli/imagegen` (relative to this SKILL.md). - Requires `uv` ([install](https://docs.astral.sh/uv/)). First call provisions the Python environment automatically. - Subcommands: `generate` (alias `gen`). Pass `--image <path>` (repeatable) to edit, restyle, or compose existing images instead of generating from scratch. - Always run `imagegen generate --help` to discover current flags and defaults. Do not memorize flag values — they evolve with the API. ## API key The CLI looks for the key in this order: 1. `GEMINI_API_KEY` environment variable. 2. `.gemini-key` file (raw key, no quotes) found by walking up from the current working directory — project-local override. Add `.gemini-key` to `.gitignore`. 3. `~/.gemini-key` in the user's home directory — machine-wide default. If none is found, the CLI returns `code: "API_KEY_MISSING"` with a recovery hint. Get a key at <https://aistudio.google.com/apikey>. ## Models The `--model` choice gates which other flags work. Pick the cheapest that meets the need. | Model | Sizes (`--size`) | Aspect ratios (`--aspect-ratio`) | `--thinking` | Max `--image` inputs | | ---------------------------------- | ----------------------- | --------------------------------------------------------------------------- | ------------------------ | -------------------- | | `gemini-3.1-flash-image-preview` (default) | `512`, `1K`, `2K`, `4K` | `1:1, 1:4, 1:8, 2:3, 3:2, 3:4, 4:1, 4:3, 4:5, 5:4, 8:1, 9:16, 16:9, 21:9` | `minimal` (def.) / `high` | 14 | | `gemini-3-pro-image-preview` | `1K`, `2K`, `4K` | `1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9` | always on, not user-set | 14 | | `gemini-2.5-flash-image` | not configurable | `1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9` | n/a | 3 | Use the default for almost everything. Switch to `gemini-3-pro-image-preview` for high-stakes assets (legible long text, complex multi-element compositions). Switch to `gemini-2.5-flash-image` only for cost reasons on simple prompts. ## Prompting (these are thinking, creative models) These models reason about composition and fill creative gaps on their own. Provide intent and context — not exhaustive specs. - Give what only the user knows: brand, audience, where the asset goes, mood, must-include elements, must-avoid elements. - Let the model choose lens, lighting, palette, and layout unless the user specified them. - One narrative sentence beats a tag list. Describe the scene, not keywords. - For exclusions, prefer rewriting the prompt positively (e.g. "an empty street" instead of `--negative-prompt "people, cars"`). Use `--negative-prompt` only as a last resort. - Iterate by saving the output and re-invoking with `--image <previous-output>` plus a small directive (e.g. "warmer lighting, keep everything else"). ## Output rules - Always pass `--output <path>` and place the file in a project-appropriate assets directory (e.g. `src/assets/`, `public/images/`). Use a descriptive filename matching the content. - After the call returns `ok:true`, use the Read tool on the produced `file` path to confirm the image landed and looks right. - Never generate copyrighted characters, real people's likenesses, or harmful content. ## Editing / composition Pass `--image <path>` one or more times in addition to the prompt. Same `generate` command. Examples of when to use it: - Add or remove elements from an existing image. - Apply a style transfer. - Compose a scene from multiple references (e.g. a model + a garment). - Maintain character consistency across renders. - Refine a previous generation.
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.