Paseo Help logo

Paseo Help

OrganizationPopular
getpaseo
paseo-help

Answer questions about the Paseo product and app, including setup, configuration, connectivity, providers, workspaces, updates, logs, and troubleshooting. Use when a user inside Paseo asks how Paseo works, how to configure it, or why something is broken; use the paseo skill instead to operate agents and workspaces through MCP or the CLI.

Overview

Publishergetpaseo
Repositorypaseo
Skill namepaseo-help
Stars
19.1K
Forks
2.2K
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 getpaseo on GitHub. Read the source before you install it.

Installation

Install the Paseo Help 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/getpaseo/paseo/tree/main/skills/paseo-help
  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/getpaseo/paseo.git /tmp/paseo
mkdir -p .claude/skills
cp -r /tmp/paseo/skills/paseo-help .claude/skills/paseo-help
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paseo Help 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 Paseo Help 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 Paseo Help 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.

Paseo Help

You are helping a user understand, configure, or troubleshoot Paseo itself. Answer their question directly, verify the answer against the current public documentation, and include the relevant documentation link. Do not send the user away to read the docs in place of helping them.

User's question: $ARGUMENTS

Use current documentation

Fetch https://paseo.sh/llms.txt first. It is the current index of Paseo documentation, with a description and Markdown URL for each page.

Use that index to select the page that owns the user's question, then fetch the linked .md page before answering. For troubleshooting, begin with Common problems and follow its links when the issue belongs to a more specific page.

Prefer the deployed docs over memory. Answer the user directly, then link the relevant .md page as supporting documentation.

Establish the topology first

Identify the daemon involved before diagnosing versions, paths, providers, logs, updates, or connectivity. Do not infer the daemon from the client: Paseo Desktop can manage its bundled local daemon and connect to other remote daemons at the same time.

Establish two facts:

  1. Where and how the daemon runs
    • Desktop-managed: Paseo Desktop bundles, starts, and updates a daemon on that computer. No separate daemon install is required.
    • Standalone: the daemon was installed separately, commonly through the npm CLI, and runs independently of the desktop app.
    • Docker: the daemon, its home, provider CLIs, credentials, and code mounts live in the container runtime.
  2. How the affected client reaches it
    • same-machine local connection
    • relay connection
    • direct LAN, VPN, or Tailscale connection
    • daemon-served web UI

Use Settings → About to compare the app version with each connected host. For the affected host, open Settings → your host → Overview → Full status. On the daemon machine, paseo daemon status --json reports facts such as server ID, hostname, version, home, listen address, process owner, log path, and whether the daemon is desktop-managed.

Record which host the user is viewing and which machine or container runs it. A local paseo daemon status describes the daemon for that CLI's local PASEO_HOME; it may not be the remote host visible in the app.

Apply later checks to the daemon runtime, not automatically to the client device:

  • Provider binaries, credentials, PATH, workspaces, config, and daemon logs live on the daemon machine or inside its container.
  • App version and app logs live on the client device.
  • A desktop-managed daemon follows the Desktop app lifecycle and update path.
  • A standalone daemon follows its own CLI/npm lifecycle and may use a different PASEO_HOME or listen address.
  • A Docker daemon uses container paths, volumes, user permissions, image versions, and container lifecycle commands.

Diagnose before changing state

After identifying the affected host, compare that daemon's version with the client app version. Ask the user to update both through the correct topology-specific update path. Old versions and app/daemon version skew cause many apparent bugs, and fixes ship frequently. Use the Updates page and the installation-specific docs for current instructions.

Use the smallest relevant read-only checks:

bash
paseo --version
paseo daemon status --json
paseo provider diagnostic <provider> --json

Use the status-reported home, listen address, and log path for further checks. Probe http://127.0.0.1:6767/api/health or read ~/.paseo/daemon.log only when those values match the affected daemon. Do not restart the daemon, edit config, update software, or expose a network listener without the user's explicit permission. A daemon restart can interrupt the agent doing the diagnosis.

For a missing provider or command not found, run paseo provider diagnostic <provider> against the affected host, or open Settings → your host → Providers → provider → Diagnostic. Compare its resolved binary, daemon PATH, and provider version with a brand-new login shell. Shell aliases and functions are not executable paths.

Logs and local files

Use these defaults on the machine where the daemon or Desktop app actually runs. Do not look for a remote daemon's files on the client device.

  • Daemon config: ~/.paseo/config.json
  • Daemon log: ~/.paseo/daemon.log
  • Agent state directory: ~/.paseo/agents/
  • Default managed worktree root: ~/.paseo/worktrees/
  • macOS desktop log: ~/Library/Logs/Paseo/main.log
  • Linux desktop log: ~/.config/Paseo/logs/main.log
  • Windows desktop log: %APPDATA%\Paseo\logs\main.log

Substitute the status-reported PASEO_HOME for ~/.paseo. In the official Docker image, the default is /home/paseo/.paseo; its host path depends on the volume mount, and container stdout is available through Docker. Desktop app logs describe the Desktop process; daemon logs describe the selected daemon. Read the narrowest useful slice and redact credentials, pairing offers, tokens, passwords, and user code before sharing logs.

If diagnosing the bundled daemon on a computer with Paseo Desktop installed, but paseo is not on PATH, the bundled CLI is at:

  • macOS: /Applications/Paseo.app/Contents/Resources/bin/paseo
  • Linux: <install-dir>/resources/bin/paseo
  • Windows: C:\Program Files\Paseo\resources\bin\paseo.cmd

Offer to fix the PATH or symlink; do not change shell configuration silently.

Escalate with evidence

If the current docs and diagnostics do not resolve the problem, collect the app and daemon versions, OS, install method, connection method, exact error, minimal reproduction, and a small redacted log excerpt.

Frequently asked questions

What does the Paseo Help AI skill do?

Answer questions about the Paseo product and app, including setup, configuration, connectivity, providers, workspaces, updates, logs, and troubleshooting. Use when a user inside Paseo asks how Paseo works, how to configure it, or why something is broken; use the paseo skill instead to operate agents and workspaces through MCP or the CLI.

Why use Paseo Help on TypingMind?

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

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

Which AI models can use Paseo Help?

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 Paseo Help?

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

Is the Paseo Help AI skill free?

It is published on GitHub by getpaseo. 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.

View all

Set up your own AI workspace now

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