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Devin Handoff

Organization
club-cog
devin-handoff

Spin off parallel cloud Devin sessions. Hand off a task to a fresh cloud Devin session that runs in the background — each gets its own VM with shell, browser, and full repo access — so you can fan out several sessions at once and keep working locally while they run. Use for parallel or long-running work and anything needing Devin's full environment: multi-file changes, running servers, CI work, browser automation, migrations, or large refactors. Also an API for reading and interacting with current sessions — given a session URL or ID, the check/poll commands return its PR, status, branch, and latest message.

Overview

Publisherclub-cog
Repositorydevin-handoff
Skill namedevin-handoff
Stars
80
Forks
7
Bundled files
1
LicenseMIT
Links
Skill sourceRepository
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by club-cog on GitHub. Read the source before you install it.

Installation

Install the Devin 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/club-cog/devin-handoff/tree/main/.agents/skills/devin-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/club-cog/devin-handoff.git /tmp/devin-handoff
mkdir -p .claude/skills
cp -r /tmp/devin-handoff/.agents/skills/devin-handoff .claude/skills/devin-handoff
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Devin 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 Devin 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 Devin 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.

Devin Handoff

Hand off a task to Devin. Devin gets its own VM with shell, browser, and full repo access. You get a URL to watch progress, or can poll until the session completes.

All scripts/devin-handoff.sh paths below are relative to this skill's directory. If installed as a Claude Code or Codex plugin, use "${CLAUDE_PLUGIN_ROOT}/.agents/skills/devin-handoff/scripts/devin-handoff.sh".

Prerequisites

When to use

  • Task needs a running server, database, or Docker
  • Task requires browser interaction (OAuth, screenshots, E2E tests)
  • Task involves CI/CD pipelines or deployments
  • Task is long-running and the user wants to continue locally
  • You need parallel execution on a separate machine

Steps

1. Gather context

From the current working directory:

  1. Repo: Run git remote get-url origin, extract owner/repo
  2. Branch: Run git rev-parse --abbrev-ref HEAD
  3. Diff: Run git diff HEAD (truncated to 100KB automatically)
  4. Task: The user's request, concise and specific
  5. Context (optional): Summarize what you've learned — files examined, root cause hypotheses, partial fixes

2. Create the session

bash
scripts/devin-handoff.sh create \
  --task "Fix the auth timeout bug — update middleware to respect configured timeout" \
  --context "Investigated src/auth/session.py and src/auth/middleware.py. Timeout is hardcoded at 30m in session.py:42."

The script auto-detects repo, branch, and diff. The --context flag is optional but helps Devin start faster. All sessions are automatically tagged with handoff.

3. Report the URL and poll

Tell the user the session URL. If they want to wait for completion, poll until the session finishes:

bash
scripts/devin-handoff.sh poll SESSION_ID --interval 15

The poll command prints status updates and exits when Devin finishes. It also prints the PR URL if one was created.

4. Archive when done (optional)

Archive a session to clean it up from the sidebar:

bash
scripts/devin-handoff.sh archive SESSION_ID --org-id ORG_ID

Or use --archive on poll to auto-archive when the session finishes:

bash
scripts/devin-handoff.sh poll SESSION_ID --interval 15 --archive --org-id ORG_ID

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Devin Handoff AI skill do?

Spin off parallel cloud Devin sessions. Hand off a task to a fresh cloud Devin session that runs in the background — each gets its own VM with shell, browser, and full repo access — so you can fan out several sessions at once and keep working locally while they run. Use for parallel or long-running work and anything needing Devin's full environment: multi-file changes, running servers, CI work, browser automation, migrations, or large refactors. Also an API for reading and interacting with current sessions — given a session URL or ID, the check/poll commands return its PR, status, branch, a...

Why use Devin Handoff on TypingMind?

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

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

Which AI models can use Devin 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 Devin Handoff?

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

Is the Devin Handoff AI skill free?

Yes. It is published on GitHub by club-cog 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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