Models logo

Models

Organization
imgly
models

Use when picking a model for `asset_generate` (image, video, speech, music, sound effects, transcription), writing its prompt or `params`, or reading its result; when a generation is rejected ("could not be processed", "flagged by a content checker", "Upstream service error"), returns the wrong content, or loses its transparency; or before chaining generation models (layer decomposition, background removal, upscaling).

Overview

Publisherimgly
Repositorycodesign
Skill namemodels
Stars
43
Forks
1
Bundled files
5
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.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by imgly on GitHub. Read the source before you install it.

Installation

Install the Models 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/imgly/codesign/tree/main/plugins/codesign/skills/models
  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/imgly/codesign.git /tmp/codesign
mkdir -p .claude/skills
cp -r /tmp/codesign/plugins/codesign/skills/models .claude/skills/models
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Models 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 Models 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 Models 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.

models

How to prompt the models asset_generate offers, and what their results look like. The live catalog is asset_generate() with no arguments — model ids come from there, never from memory. Per-family guidance lives in one file each: <file>.

Finding a model

  • asset_generate() — the curated catalog. Every entry carries its capability: text2image, image2image, text2video, image2video, text2speech, speech2text, text2text, … .
  • asset_generate({ capability: 'text2audio', source: 'all' }) — adds the provider models (@falai/… ids, about 1,500 in all; source: 'all' needs a capability). Music and sound effects live only here.
  • asset_generate({ model, schema: true }) — the model's input schema: which fields it takes, their enums, defaults and limits. Read it before the first call to an unfamiliar model.

What a call can carry

  • prompt — the text the model works from. Catalog models take it; provider models may name their text field differently (the sound-effects model wants text) — then pass it in params and leave prompt out.
  • params — every other model input, verbatim, under the schema's field names: voice, duration, lyrics_prompt, duration_seconds, … . Provider (@falai/…) models take the provider's own value formats ("8s", not 8, where the schema says so). A uri inside params that an earlier tool result gave you (never one you assembled) is uploaded first, so { audio_url: '<that uri>' } works.
  • format (an aspect ratio such as "16:9") and image_uris (tool-returned uri inputs for image-to-image) — the catalog image models' fields.

There is no negative prompt, seed, strength or style parameter on the catalog image models — anything else they should know goes into the prompt text.

What comes back

  • A file — the engine's asset shape, { id, meta: { uri, mimeType, kind, duration?, width?, height? } }, plus cost. meta.kind is image, audio or video; meta.duration (seconds) is there when the file header states it. Put the uri in a design (image/video fill, audio block) — audio and video play on this server's timeline (../handbook/video.md).
  • Data — { output: [...] }, verbatim: a speech2text transcript (text, words[] with start/end seconds and speaker), a text model's reply.
  • cost.credits — what the call cost (1 credit = $0.001); provisional: true on provider models means it is the up-front hold, settled to the real price shortly after.

Families with verified guidance

familymodel idsfile
Seedream layer decomposerbytedance/seedream-5-pro-layerizebytedance-seedream.md
Background removalbria/rmbg-2.0bria-rmbg.md
Upscalersbytedance/seedvr2-upscale, recraft/crisp-upscaleupscalers.md
Speech, music, SFX, captionselevenlabs/eleven-v3-tts, elevenlabs/scribe-v2, @falai/fal-ai/minimax-music/v2, @falai/fal-ai/elevenlabs/sound-effects/v2audio.md
Videogoogle/veo-3.1-fast, kling/v3-pro (+ -i2v)video.md

Every other catalog model has no verified guidance yet: prompt it plainly — subject, setting, style, and any text it must render in quotes — and look at the result before using it.

Shared rules

  • Look at every result — by placing it. asset_generate returns the asset and no picture: the JSON tells you a file exists, not what was drawn. Put it in the design and read the render edit gives back. That also shows it at the size and crop it will actually have, which is what you are judging.
  • Verify transparency when it matters. A cut-out that lost its alpha paints an opaque rectangle over whatever is behind it. Place it over something and look, or sample the alpha channel of the file — a glance at the asset on its own will not show you.
  • A failed generation is not a verdict on the image. The text in parentheses after "The generation failed" comes from the model provider, and the same call can fail once and succeed the next time. What the calling skill says about retries applies.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Models AI skill do?

Use when picking a model for `asset_generate` (image, video, speech, music, sound effects, transcription), writing its prompt or `params`, or reading its result; when a generation is rejected ("could not be processed", "flagged by a content checker", "Upstream service error"), returns the wrong content, or loses its transparency; or before chaining generation models (layer decomposition, background removal, upscaling).

Why use Models on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/imgly/codesign/tree/main/plugins/codesign/skills/models. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Models?

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 Models?

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

Is the Models AI skill free?

Yes. It is published on GitHub by imgly 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇