Signature Request logo

Signature Request

OrganizationPopular
anthropics
signature-request

Prepare and route a document for e-signature — run a pre-signature checklist, configure signing order, and send for execution. Use when a contract is finalized and ready to sign, when verifying entity names, exhibits, and signature blocks before sending, or when setting up an envelope with sequential or parallel signers.

Overview

Publisheranthropics
Repositoryknowledge-work-plugins
Skill namesignature-request
Stars
25.9K
Forks
3K
Bundled files
Instructions only
LicenseApache-2.0
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 anthropics on GitHub. Read the source before you install it.

Installation

Install the Signature Request 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/anthropics/knowledge-work-plugins/tree/main/legal/skills/signature-request
  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/anthropics/knowledge-work-plugins.git /tmp/knowledge-work-plugins
mkdir -p .claude/skills
cp -r /tmp/knowledge-work-plugins/legal/skills/signature-request .claude/skills/signature-request
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Signature Request 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 Signature Request 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 Signature Request 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.

/signature-request -- E-Signature Routing

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Prepare a document for electronic signature — verify completeness, set signing order, and route for execution.

Important: This command assists with legal workflows but does not provide legal advice. Verify documents are in final form before sending for signature.

Usage

/signature-request $ARGUMENTS

Prepare for signature: @$1

Workflow

Step 1: Accept the Document

Accept the document in any format:

  • File upload: PDF, DOCX
  • URL: Link to a document in ~~cloud storage or ~~CLM
  • Reference: "The Acme Corp MSA we finalized yesterday"

Step 2: Pre-Signature Checklist

Before routing for signature, verify:

markdown
## Pre-Signature Checklist

- [ ] Document is in final, agreed form (no open redlines)
- [ ] All exhibits and schedules are attached
- [ ] Correct legal entity names on signature blocks
- [ ] Dates are correct or left blank for execution date
- [ ] Signature blocks match the authorized signers
- [ ] Any required internal approvals have been obtained
- [ ] Document has been reviewed by appropriate counsel

Step 3: Configure Signing

Gather signing details:

  • Signers: Who needs to sign? (names, emails, titles)
  • Signing order: Sequential or parallel?
  • Internal approval: Does anyone need to approve before the counterparty signs?
  • CC recipients: Who should receive a copy of the executed document?

Step 4: Route for Signature

If ~~e-signature is connected:

  • Create the signature envelope/request
  • Set signing fields and order
  • Add any required initials or date fields
  • Send for signature

If not connected:

  • Generate a signing instruction document
  • Provide the document formatted for wet signature or manual e-sign
  • List all signers with contact information

Output

markdown
## Signature Request: [Document Title]

### Document Details
- **Type**: [MSA / NDA / SOW / Amendment / etc.]
- **Parties**: [Party A] and [Party B]
- **Pages**: [X]

### Pre-Signature Check: [PASS / ISSUES FOUND]
[List any issues that need attention before sending]

### Signing Configuration
| Order | Signer | Email | Role |
|-------|--------|-------|------|
| 1 | [Name] | [email] | [Party A Authorized Signatory] |
| 2 | [Name] | [email] | [Party B Authorized Signatory] |

### CC Recipients
- [Name] — [email]

### Status
[Sent for signature / Ready to send / Issues to resolve first]

### Next Steps
- [What to expect after sending]
- [Expected turnaround time]
- [Follow-up if not signed within X days]

Tips

  1. Check entity names carefully — The most common signing error is incorrect legal entity names.
  2. Verify authority — Make sure each signer is authorized to bind their organization.
  3. Keep a copy — Executed copies should be filed in ~~cloud storage or ~~CLM immediately after execution.

Frequently asked questions

What does the Signature Request AI skill do?

Prepare and route a document for e-signature — run a pre-signature checklist, configure signing order, and send for execution. Use when a contract is finalized and ready to sign, when verifying entity names, exhibits, and signature blocks before sending, or when setting up an envelope with sequential or parallel signers.

Why use Signature Request on TypingMind?

Because you install it once and use it with any model. Signature Request 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 Signature Request in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anthropics/knowledge-work-plugins/tree/main/legal/skills/signature-request. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Signature Request?

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 Signature Request?

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

Is the Signature Request AI skill free?

Yes. It is published on GitHub by anthropics under the Apache-2.0 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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