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Parallel Cli Setup

Organization
parallel-web
parallel-cli-setup

Set up and maintain the Parallel CLI (install, auth, balance, skills install)

Overview

Publisherparallel-web
Repositoryparallel-agent-skills
Skill nameparallel-cli-setup
Stars
77
Forks
10
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 parallel-web on GitHub. Read the source before you install it.

Installation

Install the Parallel Cli Setup 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/parallel-web/parallel-agent-skills/tree/main/skills/parallel-cli-setup
  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/parallel-web/parallel-agent-skills.git /tmp/parallel-agent-skills
mkdir -p .claude/skills
cp -r /tmp/parallel-agent-skills/skills/parallel-cli-setup .claude/skills/parallel-cli-setup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Parallel Cli Setup 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 Parallel Cli Setup 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 Parallel Cli Setup 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.

Parallel CLI Setup

Set up or maintain parallel-cli with minimal friction. If you are running this prompt, your goal is to follow the instructions below and set up parallel-cli for the user so that they can execute searches, run extracts, deep research, etc.

Step 1: Install or upgrade the CLI

Check whether the CLI exists:

bash
command -v parallel-cli

If missing, install with any of these methods:

  1. macOS only: brew install parallel-web/tap/parallel-cli
  2. Linux/macOS/Windows (uv): uv tool install "parallel-web-tools[cli]"
  3. Linux/macOS/Windows (npm): npm install -g parallel-web-cli
  4. Linux/macOS/Windows (pipx): pipx install "parallel-web-tools[cli]" && pipx ensurepath

When parallel-cli is present, require version >=0.9.2. If older, identify the install method before advising an update. Use command -v parallel-cli, then inspect readlink "$(command -v parallel-cli)" if it is a symlink. Paths under ~/.local/share/uv/ tools/ indicate uv tool install; paths under ~/.local/share/parallel-cli/ indicate the standalone installer.

Upgrade commands (choose based on how it was installed):

  • standalone: parallel-cli update
  • uv: uv tool upgrade parallel-web-tools[cli]
  • pipx: pipx upgrade parallel-web-tools[cli]
  • npm: npm update -g parallel-web-cli
  • homebrew: brew update && brew upgrade parallel-web/tap/parallel-cli

Step 2: Authenticate

Check auth status:

bash
parallel-cli auth --json

You will get a response like:

json
{
  "authenticated": true,
  "method": "oauth",
  "env_var_set": false,
  "has_stored_credentials": true,
  "stored_overridden_by_env": false,
  "token_file": "xxx",
  "version": 1,
  "selected_org_id": "legacy",
  "selected_org_name": null,
  "has_control_api_tokens": false
}

If authenticated is false or selected_org_id is legacy, prompt the user to log in:

bash
parallel-cli login --json

If this is a headless session, append --no-browser.

This triggers device OAuth. The user will be prompted to go to a web browser and input the code the CLI outputs.

When invoking from an agent harness, prefer streaming stdout via a Monitor-style tool over blocking on completion.

The output will look like:

json
{"event": "auth_start"}
{"event": "device_code", "verification_uri": "http://localhost:3000/getServiceKeys/device", "verification_uri_complete": "http://localhost:3000/getServiceKeys/device?user_code=CHQX-NQKP&onboard_variant=agent", "user_code": "CHQX-NQKP", "expires_in": 600, "browser_open_attempted": true, "browser_opened": true}
{"event": "auth_waiting"}
{"event": "auth_success"}

{"event": "auth_success"} is emitted only after the user has successfully authorized the CLI. Otherwise it blocks at {"event": "auth_waiting"}.

Step 3: Check balance

After authentication, check the current balance:

bash
parallel-cli balance get

If zero, prompt the user to add balance:

bash
parallel-cli balance add <AMOUNT_IN_CENTS>

Make it clear that a payment method should have been added to the organization. If not, the user can go to https://platform.parallel.ai/settings to add one.

Step 4: Install the Parallel skills

Install the skills for the user:

bash
parallel-cli skills install

The user may need to restart their agent if it doesn't support hot reloading.

Step 5: Suggest a first run

Prompt the user to use the newly installed skills to run a search or extract right away. Suggest one of (use $ instead of / for Codex):

  • /parallel-web-search <query> — fast web search
  • /parallel-web-extract <url> — extract content from a URL
  • /parallel-deep-research <topic> — comprehensive research
  • /parallel-data-enrichment <list> — enrich a list of entities

Frequently asked questions

What does the Parallel Cli Setup AI skill do?

Set up and maintain the Parallel CLI (install, auth, balance, skills install)

Why use Parallel Cli Setup on TypingMind?

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

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

Which AI models can use Parallel Cli Setup?

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 Parallel Cli Setup?

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

Is the Parallel Cli Setup AI skill free?

Yes. It is published on GitHub by parallel-web 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.

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