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Paseo Handoff

OrganizationPopular
getpaseo
paseo-handoff

Hand off the current task to another agent with full context. Use when the user says "handoff", "hand off", "hand this to", or wants to pass work to another agent.

Overview

Publishergetpaseo
Repositorypaseo
Skill namepaseo-handoff
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 Handoff 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-handoff
  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-handoff .claude/skills/paseo-handoff
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paseo Handoff 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 Handoff 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 Handoff 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.

Handoff Skill

Transfer the current task — context, decisions, failed attempts, constraints — to a fresh agent. The receiving agent starts with zero context, so the handoff prompt must be a self-contained briefing.

User's arguments: $ARGUMENTS

Prerequisites

Read the paseo skill. Call list_profiles before choosing the receiving agent. Do not create it until you have read the configured profiles and their notes.

Parsing arguments

  1. Agent profile — explicit profile name first; otherwise choose the profile whose notes best match the work. Materialize it into create_agent as described by the paseo skill. If no profile fits, use Paseo's provider discovery fallback.
  2. Isolation — "in a worktree" / "worktree" → create a workspace with isolation: "worktree", using a short branch name derived from the task.
  3. Task description — anything else the user said.

The handoff prompt

The receiving agent has zero context. Include:

## Task
[Imperative description.]

## Context
[Why this task exists, required context.]

## Relevant files
- `path/to/file.ts` — [what it is and why it matters]

## Current state
[What's done, what works, what doesn't.]

## What was tried
- [Approach] — [why it failed or was abandoned]

## Decisions
- [Decision — rationale]

## Acceptance criteria
- [ ] [Criterion]

## Constraints
- [Must-not / must-preserve]

Preserve task semantics. Investigate-only → "DO NOT edit files." Fix → "implement the fix." Refactor → "refactor, not rewrite." Carry the user's exact intent.

Launch

Prepare the handoff in a dedicated workspace:

  1. Select the current workspace or call create_workspace with the requested isolation.
  2. Call create_agent with a [Handoff] <task> title, the briefing as initial prompt, and the selected workspaceId when explicit placement is needed.
  3. Return the agent and workspace to the user, explaining that it remains in your subagent track until they detach it manually.

Do not encode independence as a create mode and do not invoke CLI or wire-level detach operations. Detach is a user gesture in the subagents track.

Do not wait or poll for the agent to finish.

Frequently asked questions

What does the Paseo Handoff AI skill do?

Hand off the current task to another agent with full context. Use when the user says "handoff", "hand off", "hand this to", or wants to pass work to another agent.

Why use Paseo Handoff on TypingMind?

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

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

Which AI models can use Paseo Handoff?

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 Handoff?

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

Is the Paseo Handoff 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.

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