signature-request▌
anthropics/knowledge-work-plugins · updated Apr 8, 2026
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If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
/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:
## 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
## 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
- Check entity names carefully — The most common signing error is incorrect legal entity names.
- Verify authority — Make sure each signer is authorized to bind their organization.
- Keep a copy — Executed copies should be filed in ~~cloud storage or ~~CLM immediately after execution.
How to use signature-request on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add signature-request
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches signature-request from GitHub repository anthropics/knowledge-work-plugins and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate signature-request. Access the skill through slash commands (e.g., /signature-request) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★65 reviews- ★★★★★Tariq Huang· Dec 28, 2024
signature-request is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Kiara Malhotra· Dec 20, 2024
Useful defaults in signature-request — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Aarav Martin· Dec 12, 2024
We added signature-request from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Aarav Lopez· Dec 8, 2024
I recommend signature-request for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Kiara Khanna· Dec 4, 2024
Keeps context tight: signature-request is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Li Bhatia· Nov 23, 2024
Registry listing for signature-request matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Li Srinivasan· Nov 19, 2024
signature-request reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Nikhil Choi· Nov 7, 2024
Useful defaults in signature-request — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Aarav Taylor· Nov 3, 2024
Solid pick for teams standardizing on skills: signature-request is focused, and the summary matches what you get after install.
- ★★★★★James Sethi· Oct 26, 2024
I recommend signature-request for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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