technical-writing（技术写作）

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

./deploy.sh production

### Rollback

./rollback.sh

## Monitoring

### Key Metrics

- Request rate
- Error rate
- Latency

### Dashboards

- [Production Dashboard](https://github.com/akillness/oh-my-gods/blob/HEAD/.god-skills/technical-writing/link)
- [Alerts](https://github.com/akillness/oh-my-gods/blob/HEAD/.god-skills/technical-writing/link)

## 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](https://github.com/akillness/oh-my-gods/blob/HEAD/.god-skills/technical-writing/link)
- Team Slack: #team-name

API Documentation:

# API Documentation

## Authentication
All requests require authentication:

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": "john@example.com" } ], "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):

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:

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]
**Date**: [Date]
**Status**: [Draft/Review/Approved]

## Overview
[1-2 paragraphs describing what this document covers]

## Background
[Context and motivation]

## Goals
- Goal 1
- Goal 2

## Non-Goals
- What we're not doing

## Detailed Design
[Technical details]

## Alternatives Considered
[Other approaches and why we didn't choose them]

## Timeline
- Week 1: ...
- Week 2: ...

## Open Questions
- Question 1
- Question 2

## Features
- Feature 1
- Feature 2

## Installation

### Prerequisites
- Node.js >= 14
- npm >= 6

### Setup

git clone https://github.com/user/project.git cd project npm install

## Usage

npm start

## Configuration

Environment variables:

- `API_KEY`: Your API key
- `PORT`: Server port (default: 3000)

## Development

npm run dev npm test

## Deployment

[Deployment instructions]

## Contributing

[Contributing guidelines]

## License

MIT

Changelog Template

# Changelog

## [1.2.0] - 2024-01-15

### Added
- New feature X
- Support for Y

### Changed
- Improved performance of Z
- Updated dependency A to v2.0

### Fixed
- Bug where user couldn't login
- Memory leak in background task

### Deprecated
- Old API endpoint /v1/users (use /v2/users)

### Removed
- Legacy authentication method

### Security
- Fixed XSS vulnerability in comments

## [1.1.0] - 2024-01-01
...

Writing tips

Use active voice

✅ Good: "The system sends a notification"
❌ Bad: "A notification is sent by the system"

Be concise

✅ Good: "Click Save to save changes"
❌ Bad: "In order to save your changes, you should click on the Save button"

Use examples

✅ Good:
"Set the timeout in seconds:

timeout: 30

❌ Bad: "Configure the timeout parameter appropriately"

Break down complexity

✅ Good: "To deploy:

1. Build the image
2. Push to registry
3. Update deployment
4. Verify rollout"

❌ Bad: "Deploy by building and pushing the image to the registry, then update the deployment and verify the rollout succeeded"

Common mistakes to avoid

1. Assuming knowledge: Define terms, explain context
2. Outdated docs: Keep in sync with code
3. Missing examples: Always include examples
4. No visuals: Use diagrams for complex concepts
5. Poor structure: Use headings and sections
6. Passive voice: Use active voice
7. Too much jargon: Write for your audience
8. No version info: Date docs, note versions
9. Missing error cases: Document what can go wrong
10. No maintenance: Update regularly

Best practices

1. Write for your audience: Match their knowledge level
2. Start with why: Explain the purpose
3. Show, don't just tell: Use examples
4. Be consistent: Terminology, style, structure
5. Test your docs: Can someone follow them?
6. Version your docs: Track with code versions
7. Use templates: Consistency across docs
8. Link related docs: Help readers find more info
9. Update with code: Docs are part of the code
10. Review regularly: Quarterly doc review

Tools

Diagram tools:

• Mermaid (markdown-based)
• Draw.io
• Lucidchart
• PlantUML

Documentation platforms:

• GitBook
• Docusaurus
• MkDocs
• Sphinx

Style checkers:

• Grammarly
• Hemingway Editor
• Vale

Screenshot tools:

• Snagit
• CloudApp
• Loom (for videos)

Examples

Example 1: Basic usage

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Example 2: Advanced usage

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