Image Tools

SkillMedia

Generate images from text prompts and analyze images with vision models

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Image Tools skill

What this skill tells your AI

The instructions your AI receives, as published by neuron-mr-white/unipi in packages/image/skills/image/SKILL.md and read by ahel’s review.

Two agent tools: image_generate creates images from a text prompt, and image_recognize analyzes an existing image.

image_generate

image_generate(prompt: "A cutaway diagram of a submarine, technical illustration, muted blues")
image_generate(prompt: "...", model: "flux.2-pro")
  • prompt (required) — describe subject, style, composition and lighting. Detail materially improves the result.
  • model (optional) — fuzzy-matched against the image catalog (flux, gemini-3-pro-image, recraft-v4, …). Omit to use the model configured in /unipi:image-settings.

The image is returned inline and, when saveToDisk is on (the default), written to the output directory (default ~/.unipi/images). The saved path is reported in the result.

Image generation costs money per call. Never regenerate an image speculatively — only when the user asks for a change.

Models are served through OpenRouter, so an OpenRouter key is required: https://openrouter.ai/keys

image_recognize

image_recognize(image: "./screenshot.png")
image_recognize(image: "./error.png", prompt: "What does the stack trace say?")
image_recognize(image: "...", model: "claude-sonnet", systemPrompt: "Reply only with the visible text.")
  • image (required) — a local file path, a data: URL, or raw base64. Prefer a file path: inlining base64 into the conversation is far more expensive. Remote URLs are not fetched — download first.
  • prompt (optional) — the question to ask. Defaults to a general description. A specific question gives a far more useful answer.
  • model (optional) — must accept image input. Omit to use the configured model, falling back to the session's current model.
  • systemPrompt (optional) — override the configured system prompt for one call.

Supported types: PNG, JPEG, GIF, WebP. The type is detected from the file's magic numbers, so a misnamed extension still works.

When to use it

  • Reading a screenshot of an error, a stack trace, or failing UI
  • Understanding a design mockup or wireframe before implementing it
  • Extracting content from an architecture diagram or flowchart
  • Checking what a rendered page or chart actually looks like

Configuration

/unipi:image-settings configures both tools:

  • Generation model (picker over the built-in catalog plus image models from any provider registered by another extension)
  • Recognition model (picker over vision-capable models only)
  • Either picker accepts a custom provider/model-id — press c — for a model the catalog does not list
  • Enable/disable either tool
  • Output directory and whether to save to disk
  • The recognition system prompt

Config lives at ~/.unipi/config/image/config.json. Toggling a tool on or off takes effect on the next session, since tools are registered at startup.

Signals

GitHub stars
64
Forks
15
Last commit
Sep 2026
Hacker News mentions
20
Advanced
Catalog kind
skill
Gateway key
image-neuron-mr-white
Source
github.com/neuron-mr-white/unipi