technical-writing▌
supercent-io/skills-template · updated Apr 8, 2026
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Create clear, comprehensive technical documentation for specs, architecture, runbooks, and APIs.
- ›Provides templates and step-by-step guidance for five document types: technical specifications, architecture documents, runbooks, API documentation, and changelogs
- ›Includes audience-specific writing strategies for developers, operations teams, managers, and end users with tailored content focus
- ›Offers visual aid support via Mermaid diagrams, flowcharts, tables, and code examples with synt
Technical Writing
When to use this skill
- Writing technical specifications
- Creating architecture documentation
- Documenting system designs
- Writing runbooks and operational guides
- Creating developer documentation
- API documentation
- User manuals and guides
- Release notes and changelogs
Instructions
Step 1: Understand your audience
Developer audience:
- Focus on implementation details
- Include code examples
- Technical terminology is okay
- Show how, not just what
DevOps/Operations audience:
- Focus on deployment and maintenance
- Include configuration examples
- Emphasize monitoring and troubleshooting
- Provide runbooks
Manager/Stakeholder audience:
- High-level overview
- Business impact
- Minimal technical jargon
- Focus on outcomes
End user audience:
- Simple, clear language
- Step-by-step instructions
- Visual aids (screenshots, videos)
- FAQ section
Step 2: Choose the right document type
Technical Specification:
# [Feature Name] Technical Specification
## Overview
Brief description of what this spec covers
## Problem Statement
What problem are we solving?
## Goals and Non-Goals
### Goals
- Goal 1
- Goal 2
### Non-Goals
- What we're explicitly not doing
## Solution Design
### High-Level Architecture
### Data Models
### API Contracts
### User Interface
## Implementation Plan
### Phase 1
### Phase 2
## Testing Strategy
## Security Considerations
## Performance Considerations
## Monitoring and Alerting
## Rollout Plan
## Rollback Plan
## Open Questions
## References
Architecture Document:
# System Architecture
## Overview
High-level system description
## Architecture Diagram
[Insert diagram]
## Components
### Component 1
- Responsibility
- Technology stack
- Interfaces
### Component 2
...
## Data Flow
How data moves through the system
## Key Design Decisions
### Decision 1
- Context
- Options considered
- Decision made
- Rationale
## Technology Stack
- Frontend: React, TypeScript
- Backend: Python, FastAPI
- Database: PostgreSQL
- Infrastructure: AWS, Docker, Kubernetes
## Scalability
How the system scales
## Security
Authentication, authorization, data protection
## Monitoring and Observability
Metrics, logs, tracing
## Disaster Recovery
Backup and recovery procedures
## Future Considerations
Runbook:
# [Service Name] Runbook
## Service Overview
What this service does
## Dependencies
- Service A
- Service B
- Database X
## Deployment
### How to deploy
```bash
./deploy.sh production
Rollback
./rollback.sh
Monitoring
Key Metrics
- Request rate
- Error rate
- Latency
Dashboards
Common Issues
Issue 1: High latency
Symptoms: Response time > 1s Diagnosis: Check database connection pool Resolution: Restart service or scale up
Issue 2: Memory leak
Symptoms: Memory usage growing over time Diagnosis: Check heap dump Resolution: Restart service, investigate in staging
Troubleshooting
How to check logs
kubectl logs -f deployment/service-name
How to access metrics
curl https://api/metrics
Emergency Contacts
- On-call: PagerDuty
- Team Slack: #team-name
**API Documentation**:
```markdown
# API Documentation
## Authentication
All requests require authentication:
```bash
curl -H "Authorization: Bearer YOUR_TOKEN" \
https://api.example.com/endpoint
Endpoints
List Users
GET /api/v1/users
Parameters:
| Name | Type | Required | Description |
|---|---|---|---|
| page | integer | No | Page number (default: 1) |
| limit | integer | No | Items per page (default: 20) |
Example Request:
curl -X GET "https://api.example.com/api/v1/users?page=1&limit=20" \
-H "Authorization: Bearer YOUR_TOKEN"
Example Response:
{
"data": [
{
"id": 1,
"name": "John Doe",
"email": "[email protected]"
}
],
"pagination": {
"page": 1,
"limit": 20,
"total": 100
}
}
Error Responses:
| Status | Description |
|---|---|
| 400 | Bad Request |
| 401 | Unauthorized |
| 500 | Server Error |
### Step 3: Writing guidelines
**Clarity**:
- Use simple, direct language
- One idea per sentence
- Short paragraphs (3-5 sentences)
- Define technical terms
- Avoid jargon when possible
**Structure**:
- Use hierarchical headings (H1, H2, H3)
- Break content into sections
- Use lists for multiple items
- Use tables for structured data
- Add table of contents for long docs
**Examples**:
- Include code examples
- Provide diagrams
- Show before/after comparisons
- Real-world scenarios
**Completeness**:
- Cover prerequisites
- Include error handling
- Document edge cases
- Explain why, not just how
- Link to related docs
**Consistency**:
- Consistent terminology
- Consistent formatting
- Consistent code style
- Consistent structure
### Step 4: Visual aids
**Architecture diagrams** (Mermaid):
```mermaid
graph TB
A[Client] -->|HTTP| B[Load Balancer]
B --> C[Web Server 1]
B --> D[Web Server 2]
C --> E[Database]
D --> E
Sequence diagrams:
sequenceDiagram
Client->>+Server: Request
Server->>+Database: Query
Database-->>-Server: Data
Server-->>-Client: Response
Flowcharts:
flowchart TD
A[Start] --> B{Is valid?}
B -->|Yes| C[Process]
B -->|No| D[Error]
C --> E[End]
D --> E
Code blocks with syntax highlighting:
def calculate_total(items: List[Item]) -> Decimal:
"""Calculate total price of items."""
return sum(item.price for item in items)
Screenshots:
- Use for UI documentation
- Annotate important parts
- Keep up-to-date with UI changes
Tables:
| Parameter | Type | Default | Description |
|---|---|---|---|
| timeout | int | 30 | Request timeout in seconds |
| retries | int | 3 | Number of retry attempts |
Step 5: Review and refine
Self-review checklist:
- Clear purpose stated upfront
- Logical flow of information
- All terms defined
- Code examples tested
- Links work
- Diagrams are clear
- No typos or grammar errors
- Consistent formatting
- Table of contents (if needed)
- Last updated date
Get feedback:
- Have someone from target audience review
- Test instructions (can they follow them?)
- Check for missing information
- Verify accuracy
Maintain documentation:
- Update with code changes
- Version your docs
- Archive outdated docs
- Regular review cycle
Document templates
Technical Spec Template
# [Feature Name] Technical Spec
**Author**: [Your Name]
**How to use technical-writing 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 technical-writing
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches technical-writing from GitHub repository supercent-io/skills-template 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 technical-writing. Access the skill through slash commands (e.g., /technical-writing) 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
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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★★★★★25 reviews- ★★★★★Mei Torres· Dec 28, 2024
Registry listing for technical-writing matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Diya Srinivasan· Dec 24, 2024
technical-writing fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Nikhil Taylor· Nov 19, 2024
technical-writing reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Charlotte Jain· Nov 15, 2024
technical-writing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Mei Khan· Oct 10, 2024
We added technical-writing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Luis Khanna· Oct 6, 2024
Solid pick for teams standardizing on skills: technical-writing is focused, and the summary matches what you get after install.
- ★★★★★Sakshi Patil· Sep 25, 2024
technical-writing reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kabir Kapoor· Sep 17, 2024
technical-writing fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Kaira Malhotra· Sep 13, 2024
I recommend technical-writing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Chaitanya Patil· Aug 16, 2024
We added technical-writing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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