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Coco Cli

Community
coco-research
coco-cli

Install, update, version-check, or uninstall the Coco open-source AI workflow framework via bin/coco.js. Use when setting up Coco on a machine, checking out the pinned release tag into an existing clone, checking the installed version, or removing it. npx cocosuperintelligence is the published path (clones the pin and installs). Triggers on "install coco", "update coco", "set up coco", "coco cli", "uninstall coco".

Overview

Publishercoco-research
Repositorycoco
Skill namecoco-cli
Stars
550
Forks
12
Bundled files
Instructions only
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 coco-research on GitHub. Read the source before you install it.

Installation

Install the Coco 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/coco-research/coco/tree/main/skills/coco-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/coco-research/coco.git /tmp/coco
mkdir -p .claude/skills
cp -r /tmp/coco/skills/coco-cli .claude/skills/coco-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Coco 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 Coco 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 Coco 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.

coco-cli — manage the Coco framework

Thin agent wrapper over bin/coco.js (package name cocosuperintelligence). Drives the real CLI; does not reimplement it.

npx cocosuperintelligence is the published path: it clones the pinned release tag and runs install. From a clone, invoke node bin/coco.js. install / update check out the release tag matching package.json (v1.5.0 today), not floating main.

Commands

CommandPurposeInvocation
(default)clone + install, auto-detecting the adapternode bin/coco.js
installclone + install with explicit flagsnode bin/coco.js install [flags]
updatecheck out the pinned release tagnode bin/coco.js update [dir]
uninstallremove symlinks + the clonenode bin/coco.js uninstall [dir]
versionprint version + check for updatesnode bin/coco.js version
--helpprint usagenode bin/coco.js --help

Install flags (passed through to install.sh)

  • --adapter <name> — one of claude-code | cursor | grok | codex | generic
  • --systems <list> — comma-separated, e.g. gsd,brain
  • --dry-run — preview only, no writes

Examples

  • Install for Cursor: node bin/coco.js install --adapter cursor
  • Install for Grok: node bin/coco.js install --adapter grok
  • Selective systems: node bin/coco.js install --systems gsd,brain --adapter claude-code
  • Preview without writing: node bin/coco.js install --dry-run
  • Update an existing clone: node bin/coco.js update

Output contract

This CLI is human-output-oriented; it has no native --json mode. For agent use:

  • Treat exit code 0 = success, non-zero = failure.
  • version prints cocosuperintelligence vX.Y.Z plus an update hint — parse the vX.Y.Z token.
  • Capture stdout/stderr and branch on the exit code; do not assume machine-readable JSON.

Errors

  • A non-zero exit means an underlying git or install.sh step failed — surface the captured stdout + stderr to the user.
  • Update checks contact github.com only; on network failure the version check degrades quietly and the command still runs.

Notes

  • Side effects: install clones the pinned release tag and creates symlinks; uninstall removes them. install/update re-fetch, so they are not no-ops. Branch checkouts still git pull --ff-only and are not force-moved onto an older pin.
  • Network egress: github.com only. No telemetry. Disable update checks with COCO_NO_UPDATE_CHECK=1.
  • Prerequisites: node/npx, git, and bash. npx cocosuperintelligence is the published path (clones the pin and installs).

Frequently asked questions

What does the Coco Cli AI skill do?

Install, update, version-check, or uninstall the Coco open-source AI workflow framework via bin/coco.js. Use when setting up Coco on a machine, checking out the pinned release tag into an existing clone, checking the installed version, or removing it. npx cocosuperintelligence is the published path (clones the pin and installs). Triggers on "install coco", "update coco", "set up coco", "coco cli", "uninstall coco".

Why use Coco Cli on TypingMind?

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

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

Which AI models can use Coco 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 Coco Cli?

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

Is the Coco Cli AI skill free?

It is published on GitHub by coco-research. Check the repository for licensing terms. 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.

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