Delegate Work

OrganizationPopular

paperclipai

delegate-work

Delegate user-requested work to an existing Paperclip agent, with a durable task reference and clear execution expectations.

Overview

Publisher	paperclipai
Repository	`paperclip`
Skill name	`delegate-work`
Stars	100.4K
Forks	16.9K
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 paperclipai on GitHub. Read the source before you install it.

Installation

Install the Delegate Work AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/paperclipai/paperclip/tree/master/integrations/assistant-plugins/claude/paperclip/skills/delegate-work
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/paperclipai/paperclip/tree/master/integrations/assistant-plugins/claude/paperclip/skills/delegate-work

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/paperclipai/paperclip.git /tmp/paperclip
mkdir -p .claude/skills
cp -r /tmp/paperclip/integrations/assistant-plugins/claude/paperclip/skills/delegate-work .claude/skills/delegate-work

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Delegate Work 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 Delegate Work 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 Delegate Work 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.

Identify the connected person and company with paperclip_connection. List agents and, if relevant, projects. Select the agent suited to the requested outcome. Resolve ambiguity about team, scope or assignee with the user before creating work. Report paused or unavailable agents; do not promise they will run.

Prepare a task with the objective, relevant user-provided context, constraints and expected deliverable. Explain that delegation can start autonomous agent work using the team's separately configured execution capacity and budget. The user's request to delegate is sufficient authorization when its scope is clear.

Create one UUID requestId for the intended task, then call paperclip_create_task. Reuse that UUID and identical arguments if the same call must be retried. After an unknown outcome or disconnected call, inspect tasks before doing anything else. Never switch to a new requestId to force the action through.

Return the durable task ID and link. Distinguish submitted, running, blocked and completed states based on returned evidence. The task can continue after this conversation closes. Retrieve progress with paperclip_read_task; do not poll continuously. Direct setup and approval decisions to Paperclip's UI. Installing the plugin does not create teams or supply model credentials.

Frequently asked questions

What does the Delegate Work AI skill do?

Delegate user-requested work to an existing Paperclip agent, with a durable task reference and clear execution expectations.

Why use Delegate Work on TypingMind?

Because you install it once and use it with any model. Delegate Work 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 Delegate Work in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/paperclipai/paperclip/tree/master/integrations/assistant-plugins/claude/paperclip/skills/delegate-work. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Delegate Work?

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 Delegate Work?

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

Is the Delegate Work AI skill free?

Yes. It is published on GitHub by paperclipai 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Frequently asked questions

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