Agent skill

API Models

Call nodetool.models from a code action: pick the best configured model for a capability, search for a model the user named, browse a provider's catalog, set a node's model property, or make one…

AGPL-3.0Auto-check passedMedia & Creative

Install API Models

skills CLI

$ npx skills add nodetool-ai/nodetool --skill api-models -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install nodetool-ai/nodetool api-models --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/nodetool-ai/nodetool.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/system-skills/api-models .claude/skills/api-models && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "api-models" agent skill from https://github.com/nodetool-ai/nodetool/tree/main/packages/system-skills/api-models into .claude/skills/api-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-models", 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

$skill-installer install https://github.com/nodetool-ai/nodetool/tree/main/packages/system-skills/api-models

Type 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.

skills CLI

$ npx skills add nodetool-ai/nodetool --skill api-models -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install nodetool-ai/nodetool api-models --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/nodetool-ai/nodetool.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/system-skills/api-models .agents/skills/api-models && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "api-models" agent skill from https://github.com/nodetool-ai/nodetool/tree/main/packages/system-skills/api-models into .agents/skills/api-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-models", 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.

skills CLI

$ npx skills add nodetool-ai/nodetool --skill api-models -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install nodetool-ai/nodetool api-models --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/nodetool-ai/nodetool.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/system-skills/api-models .cursor/skills/api-models && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "api-models" agent skill from https://github.com/nodetool-ai/nodetool/tree/main/packages/system-skills/api-models into .cursor/skills/api-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-models", 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

$ gemini skills install https://github.com/nodetool-ai/nodetool.git --path packages/system-skills/api-models

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add nodetool-ai/nodetool --skill api-models -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install nodetool-ai/nodetool api-models --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/nodetool-ai/nodetool.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/system-skills/api-models .gemini/skills/api-models && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "api-models" agent skill from https://github.com/nodetool-ai/nodetool/tree/main/packages/system-skills/api-models into .gemini/skills/api-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-models", 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.

GitHub CLI

$ gh skill install nodetool-ai/nodetool api-models

Installs 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).

skills CLI

$ npx skills add nodetool-ai/nodetool --skill api-models -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/nodetool-ai/nodetool.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/system-skills/api-models .github/skills/api-models && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "api-models" agent skill from https://github.com/nodetool-ai/nodetool/tree/main/packages/system-skills/api-models into .github/skills/api-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-models", 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.

skills CLI

$ npx skills add nodetool-ai/nodetool --skill api-models -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install nodetool-ai/nodetool api-models --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/nodetool-ai/nodetool.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/system-skills/api-models .opencode/skills/api-models && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "api-models" agent skill from https://github.com/nodetool-ai/nodetool/tree/main/packages/system-skills/api-models into .opencode/skills/api-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-models", 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: api-models
GitHub stars: 554
Token cost: ~976 tokens
SKILL.md length: 388 words
Files: 1
Skills in repo: 130
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: AGPL-3.0

At a glance

Call nodetool.models from a code action: pick the best configured model for a capability, search for a model the user named, browse a provider's catalog, set a node's model property, or make one…

Media & Creative work in your project
SKILL.md covers Calls, What a result carries, Rules and Examples
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

API Models is an agent skill from nodetool-ai/nodetool. Call nodetool.models from a code action: pick the best configured model for a capability, search for a model the user named, browse a provider's catalog, set a node's model property, or make one language-model call. Load before the first call into nodetool.models.

Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Media & Creative. The repository describes itself as: Agent-first Creative Workspace. The licence is AGPL-3.0.

When your agent uses it

Media & Creative work in your project

Example prompts

“s catalog, set a node”
“/api-models”

What it can do on your machine

Read from SKILL.md and the folder at commit f99c652. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are javascript).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

API Models loads about 976 tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 388 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~69
When it runs · the whole SKILL.md, loaded when a task matches: ~976

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 nodetool-ai/nodetool at commit f99c652, republished under its AGPL-3.0 licence (© nodetool-ai). 388 words, ~976 tokens.

Download SKILL.mdSave it as .claude/skills/api-models/SKILL.md (or your agent's skills folder).

name: api-models
description: Call nodetool.models from a code action: pick the best configured model for a capability, search for a model the user named, browse a provider's catalog, set a node's model property, or make one language-model call. Load before the first call into nodetool.models.

nodetool.models

Model discovery for this install. It knows which providers have credentials and which local models are downloaded. Never guess a model id: pick one here, then pass it on. Credentials and provider setup are nodetool-model-provider-config.

Calls

Call	Does	Answers
`pick(capability, {query, provider_hint, model_hint, prefer_local})`	Resolves ONE model.	The top result: `{provider, model_id, ref, …}`
`find(capability, {query, task, provider_hint, model_hint, prefer_local, limit})`	Ranks candidates. `limit` defaults to 5.	`{results, ref, note?, query_matched?}`
`list({provider, model_type, downloaded_only, limit})`	Browses every configured model.	`{results}`
`forProvider(provider)`	Lists one provider's language models.	The provider catalog
`generate(prompt, model, {system, images, max_tokens, temperature})`	One language-model call, with optional images. No asset is made.	`{provider, model, text}`

capability is one of text_to_image, image_to_image, segment_image, text_to_video, image_to_video, reference_to_video, text_to_speech, text_to_music, audio_to_audio, automatic_speech_recognition, generate_embedding and generate_message.

model_type for list is one of language, image, video, tts, music, audio_to_audio, asr and embedding.

What a result carries

provider and model_id — the route. Every nodetool.media.* call takes the whole result, {provider, model_id}, or a "provider/model_id" string.
ref — the typed value {type, provider, id, name}. Assign it verbatim to a node's *_model property. The flat model_id field does not fit that property.
For ranked media models: canonical, ranked_task, rank and of, and alternate_routes for other providers that serve the same model. One model is one row, not one row for each route.
prompting_skill — the name of the shipped guide for that model line. Load it with load_skill before you write the prompt.

Show full SKILL.md (151 more words)Show less

Rules

pick with no options is the good default. For image, video, speech and music, the order comes from a quality leaderboard for the task. Do not shop around.
When the user named a model, search in the same call: pick("text_to_image", {query: "flux schnell"}). query is free text over the model id and name. All words must appear, and separators do not matter.
pick throws when no configured provider offers the capability, and when a query matches nothing. It never answers with an unrelated model. Report the miss or call find to see what is configured.
task is a hint against the supported tasks of a model. It is not a search box. Use query to search by name.
A judge for nodetool.media.critique, compare, scoreAdherence and understandVideo is a chat model that reads images or video: pick("generate_message", {query: "gemini"}), for example. It is not the model that made the picture.

Examples

// The best image model, straight into a generation.
const model = await nodetool.models.pick("text_to_image");
const shot = await nodetool.media.generateImage("a red fox in snow", model);

// A node property wants the typed ref.
const tts = await nodetool.models.pick("text_to_speech");
wf.node("speech_1").set({ model: tts.ref });

// One text call with an image.
const llm = await nodetool.models.pick("generate_message");
const { text } = await nodetool.models.generate(
  "Name the dominant colour in one word.", llm, { images: [shot.asset_uri] }
);

Files

Just SKILL.md in packages/system-skills/api-models of nodetool-ai/nodetool.

Open the folder on GitHubat commit f99c652

Compare with similar skills

API Models 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.

API Models compared with similar skills
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Benchddalcu/mlx-serve	1.8k	1 repos	~1.1k	Automated safety check: Pass	Custom licence	today
PR Chartsddalcu/mlx-serve	1.8k	—	~594	Automated safety check: Pass	Custom licence	today
Flux 3 Keyframes Continuationblack-forest-labs/skills	125	1 repos	~827	Automated safety check: Pass	MIT	28 days ago
Agnes AI Supportlj1270998580-crypto/Agnes-help-skill	304	—	~14k	Automated safety check: Notes	None	14 days ago

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Questions about API Models

What does API Models do?

Call nodetool.models from a code action: pick the best configured model for a capability, search for a model the user named, browse a provider's catalog, set a node's model property, or make one…. API Models is an agent skill from nodetool-ai/nodetool.models from a code action: pick the best configured model for a capability, search for a model the user named, browse a provider's catalog, set a node's model property, or make one language-model call.

When should I use API Models?

API Models fits situations like: media & Creative work in your project.

How do I install API Models in Claude Code?

Run `npx skills add nodetool-ai/nodetool --skill api-models -a claude-code`. Or copy the skill folder (packages/system-skills/api-models in nodetool-ai/nodetool) into .claude/skills/api-models in your project. Claude Code loads it when a task matches its description.

How do I install API Models in Codex?

Run `npx skills add nodetool-ai/nodetool --skill api-models -a codex`. Or copy the skill folder (packages/system-skills/api-models in nodetool-ai/nodetool) into .agents/skills/api-models in your project. Codex loads it when a task matches its description.

Can I use API Models 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 nodetool-ai/nodetool --skill api-models -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/api-models, .gemini/skills/api-models, .github/skills/api-models and .opencode/skills/api-models in your project.

What does API Models need to run?

SKILL.md names no scripts, command-line tools or credentials: API Models is instructions for the agent only.

Does API Models access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is API Models 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 API Models use?

API Models is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does API Models use?

About 976 tokens (SKILL.md is roughly 3.9k 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 API Models?

Skills that share tags, products or a category with API Models: Video Script (itwanger/toBeBetterJavaer, 18k stars), Bench (ddalcu/mlx-serve, 1.8k stars), PR Charts (ddalcu/mlx-serve, 1.8k stars) and Flux 3 Keyframes Continuation (black-forest-labs/skills, 125 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains API Models?

nodetool-ai (a GitHub organization) maintains it in nodetool-ai/nodetool, which has 554 GitHub stars. The repository holds 130 skills in this directory. The repository was last updated on October 7, 2026.

Source: nodetool-ai/nodetool on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install API Models

Facts

At a glance

What it does

When your agent uses it

Example prompts

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

nodetool.models

Calls

What a result carries

Rules

Examples

Files

Compare with similar skills

Similar skills

More from nodetool-ai/nodetool

Related

Questions about API Models