Cate Cli logo

Cate Cli

OrganizationPopular
0-AI-UG
cate-cli

Drive Cate browser, terminal, editor, panel, review, and coding-agent orchestration surfaces from a Cate terminal. Browser page automation targets Cate's live webviews directly.

Overview

Publisher0-AI-UG
Repositorycate
Skill namecate-cli
Stars
2.2K
Forks
141
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by 0-AI-UG on GitHub. Read the source before you install it.

Installation

Install the Cate Cli 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/0-AI-UG/cate/tree/main/.codex/skills/cate-cli
  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/0-AI-UG/cate.git /tmp/cate
mkdir -p .claude/skills
cp -r /tmp/cate/.codex/skills/cate-cli .claude/skills/cate-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cate Cli 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 Cate Cli 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 Cate Cli 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.

Cate CLI

cate is available inside Cate terminals and agent shells. It talks to the current workspace and requires the relevant Settings → CLI permission.

Start by listing panels:

bash
cate panel list

When working repeatedly with one panel, select it for the current agent or terminal session:

bash
cate panel set 1a2b3c4d
cate panel current

The selection is isolated by a per-terminal CLI session, so other agents and terminals keep their own targets. Short ids from panel list are accepted. Use --panel <id> only as a one-command override. Clear the selection to return to Cate's automatic focused/grouped resolution:

bash
cate panel clear

Selections can point to any native panel. Browser and terminal commands reject a selected panel of the wrong type instead of silently controlling another panel. If a selected panel was closed, select another panel before continuing.

Browser workflow

To open a new browser panel, use the panel command. The URL is optional:

bash
cate panel create browser https://example.com
cate panel create browser

Use cate browser run to inspect and control a panel's live tab, or to open another tab within an existing browser panel.

Browser control uses persistent JavaScript with the cua tab API. The old argv actions, selectors, page evaluation, and revisioned string refs have been removed. Start by binding a tab to get its accessibility state, then request a screenshot when visual context is useful:

bash
cate browser run 'var tab = await cua.getTab({panelId:"<full-panel-id>"});'
cate browser run 'await tab.getAXStateAndScreenshot();'

Use full panel IDs inside JavaScript. --panel <id> supports short IDs as an override for CLI panel resolution. Discover tabs with await cua.listTabs(). Create a tab with await cua.createBrowserTab("https://example.com"), or pass {panelId:tab.panelId} as the second argument to choose its panel. Use the full panel ID inside JavaScript. If no browser panel exists, create one with cate panel create browser [url] first. Bindings pin both panel and tab; they never silently follow a user's tab switch.

Use numeric IDs from the latest AX observation. For example, after observing a form containing textbox 17 and button 42:

bash
cate browser run 'await tab.setValue(17,"user@example.com"); await tab.click(42); await tab.waitFor({url:"**/dashboard"});'
cate browser run 'await tab.getAXStateAndScreenshot();'

Do not guess IDs or coordinates. Observations contain kind, observationId, documentId, URL, title and viewport. AX observations (kind:"ax") also contain accessibility state and structured elements with role, name, value and states. getAXState() normally emits a concise diff; getAXState({disableDiffing:true}) emits the full tree. getScreenshot() returns only viewport pixels/identity (kind:"image", empty state/elements), avoiding an AX scan. It does not refresh numeric IDs. getAXStateAndScreenshot() refreshes both together. The SDK keeps the last AX observation for numeric targets and the latest visual observation for coordinates. {emit:false} suppresses automatic output. {profile:true} adds phase timings, image bytes and estimated retained-cache usage. Each code cell retains at most 16 million serialized observation characters, including emit:false; split long screenshot loops across cells.

The SDK carries the latest observation through each action and emits fresh state. Numeric IDs persist within one document; navigation requires fresh IDs. Coordinate actions use [x,y] in observed viewport CSS pixels and reject stale viewport coordinates. A dispatched click is not proof that a business operation completed: use waitFor or inspect the resulting state.

javascript
await tab.click(42);                         // or [x,y]
await tab.setValue(17, "replacement");
await tab.typeText("insert at selection");
await tab.pressKey("Return");
await tab.selectText(17, "text", {selectionType:"cursor_after"});
await tab.scroll([400,300], "down", 1);
await tab.drag([100,100], [300,200]);
await tab.setChecked(42, true);
await tab.selectOption(42, ["DE"]);
await tab.upload(42, "/authorized/file");
await tab.waitFor({text:"Saved"});
await tab.waitFor({element:42, state:"enabled"});
await tab.goto("https://example.com");
await tab.back(); await tab.forward(); await tab.reload();
await tab.setViewport({width:1280,height:800});
await tab.resize({width:800,height:600});
await tab.downloads(); await tab.close();

Keep deterministic batches short and inspect unexpected changes before continuing. Use var for reusable bindings; top-level await is supported. The session has no Node.js, filesystem, network, or DOM evaluation access. Await every action. nodeRepl.write(value) adds text output. cate browser reset clears JavaScript bindings without closing tabs. Sessions are isolated per terminal/agent through CATE_CLI_SESSION_ID; timed-out sessions reset.

cate browser run 'await tab.getAXStateAndScreenshot();' returns AX state and saves a screenshot to a temporary PNG file. Open the printed path with your image-viewing tool before visual reasoning. Shell output cannot itself attach pixels to the model. --json returns structured content with base64 image data; base64 text is not visual input. The same screenshot output works from tab.getScreenshot() in code. AX reads remain available in code for deterministic branches and extraction.

Agent actions display a cursor/highlight in the browser panel. User input takes control back and cancels pending automation. Responsive viewport size and canvas panel size are independent; resize applies only to canvas panels with a 400×300 minimum.

Other surfaces

bash
cate editor open src/app.tsx:42
cate panel create browser https://example.com
cate panel create terminal
cate panel create canvas
cate panel set <id>
cate panel current
cate panel clear
cate panel close <id>

Read a terminal before sending input. type does not append Enter:

bash
cate panel set 1a2b3c4d
cate terminal read
cate terminal type npm test
cate terminal press enter

Terminal input goes to whatever currently owns that PTY, including foreground TUIs. Never send keys until the panel id and current screen are verified.

Agent orchestration

Use cate agent to observe and steer the live agent surfaces already visible in the current workspace. This includes terminal CLI agents and T3 Code panels. Discover their panel ids before sending work or after context compaction:

bash
cate agent list

Send a bounded prompt to a ready panel, wait for one or more panels to become ready, then read the conversation:

bash
cate agent send --panel <panel-id> "Please add the missing regression test"
cate agent wait <panel-id> [<panel-id>...] --wait-timeout 10000
cate agent read <panel-id> [--json]

Panel ids may be the unique short ids printed by cate agent list. wait accepts 5000–60000 milliseconds and may be called with no ids to monitor every live agent panel. A successful send delivers the prompt exactly once; the target must be at its normal prompt rather than busy or waiting on structured input. read prints the conversation's user and assistant messages the same way for every agent panel: terminal CLI agents are read from that CLI's own session store, T3 panels from their thread. --json gives { panelId, surface, agentId, agentName, title, state, session, messages: [{ role, text, createdAt }] }. A terminal whose agent has not reported a session yet fails with no-agent-session; use cate terminal read to see its screen instead.

Review panels

Select a Review Panel once, inspect its comparison, and record structured findings. --panel <id> is an optional one-command override for every review command.

bash
cate panel set <review-panel-id>
cate review inspect
cate review note add --file src/app.ts --line 42 --side new \
  --severity error --body "Handle the rejected request"
cate review note resolve <note-id>
cate review complete

Use complete only when running as the review agent assigned by that Review Panel. Review commands record findings; they do not modify files, stage, commit, or push changes.

Frequently asked questions

What does the Cate Cli AI skill do?

Drive Cate browser, terminal, editor, panel, review, and coding-agent orchestration surfaces from a Cate terminal. Browser page automation targets Cate's live webviews directly.

Why use Cate Cli on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/0-AI-UG/cate/tree/main/.codex/skills/cate-cli. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cate Cli?

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 Cate Cli?

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

Is the Cate Cli AI skill free?

Yes. It is published on GitHub by 0-AI-UG 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 👇