technical-writing
Write clear, engaging technical content from real experience. Use when writing blog posts, documentation, tutorials, or technical articles.
Best use case
technical-writing is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Write clear, engaging technical content from real experience. Use when writing blog posts, documentation, tutorials, or technical articles.
Teams using technical-writing should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/technical-writing/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How technical-writing Compares
| Feature / Agent | technical-writing | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Write clear, engaging technical content from real experience. Use when writing blog posts, documentation, tutorials, or technical articles.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Technical Writing
<default_to_action>
When writing technical content:
1. LEAD with value (what will reader learn/gain?)
2. SHOW, don't tell (specific examples, code, numbers)
3. STRUCTURE for scanning (headers, bold, short paragraphs)
4. CUT ruthlessly (every sentence must earn its place)
5. BE honest about trade-offs
**Blog Post Structure:**
```markdown
# Title (specific promise)
## Opening (2-3 paragraphs)
- Hook: The problem or insight
- Context: Why this matters
- Promise: What they'll learn
## Body (3-5 sections)
- One clear idea per section
- Support with examples/code/data
## Closing
- Key takeaway (1-2 sentences)
- Action reader can take
```
**Before/After:**
❌ "We implemented a comprehensive testing strategy..."
✅ "We moved exploratory testing into sprint planning. QE now pairs with devs during story refinement."
</default_to_action>
## Quick Reference Card
### Core Principles
| Principle | Bad | Good |
|-----------|-----|------|
| **Lead with value** | "In today's landscape..." | "Here's how we cut bugs 60%" |
| **Show, don't tell** | "We improved testing" | "Bug detection: 12→47 per sprint" |
| **Be specific** | "Performance improved" | "Response time: 2.3s→180ms" |
| **Honest trade-offs** | "This approach is best" | "TDD slowed velocity 20%, reduced bugs 75%" |
### Words to Cut
| Kill | Reason |
|------|--------|
| basically, actually, probably | Hedge words |
| leverage, synergy, paradigm | Corporate speak |
| very, really, quite | Unnecessary qualifiers |
| it should be noted that | Just note it |
---
## Audience-Specific Writing
### For Developers
- Lead with code or concrete problem
- Show implementation details
- Discuss trade-offs and alternatives
- Link to repos or examples
### For QA/QE
- Start with testing challenge
- Show strategy, not just tools
- Include risk assessment
- Provide adaptable heuristics
### For Leadership
- Open with business impact
- Use metrics that matter
- Connect technical to outcomes
- Keep technical details concise
---
## Editing Checklist
Before publishing:
- [ ] Title promises something specific
- [ ] Opening hooks in 30 seconds
- [ ] Claims backed by examples
- [ ] All unnecessary words cut
- [ ] Code examples tested and correct
- [ ] Takeaway crystal clear
- [ ] Would send to respected colleague
---
## Example Transformations
**Before:**
"We decided to implement a more comprehensive testing strategy that would allow us to catch bugs earlier in the development lifecycle."
**After:**
"We moved exploratory testing into sprint planning. QE now pairs with devs during story refinement, identifying risks before code is written."
---
**Before:**
"The benefits of this approach are numerous and include improved quality, faster feedback loops, and better team collaboration."
**After:**
"Three outcomes: bugs found 2 days earlier on average, 30% fewer regression issues, and devs now ask QE for input during design."
---
## Agent Integration
```typescript
// Generate documentation from code
const docs = await Task("Generate Docs", {
source: 'src/services/PaymentService.ts',
format: 'markdown',
includeExamples: true
}, "qe-quality-analyzer");
// Review documentation quality
const review = await Task("Review Docs", {
files: ['README.md', 'docs/api.md'],
checkClarity: true,
checkCodeExamples: true
}, "qe-quality-analyzer");
```
---
## Agent Coordination Hints
### Memory Namespace
```
aqe/technical-writing/
├── generated-docs/* - Auto-generated documentation
├── reviews/* - Documentation review findings
└── templates/* - Reusable doc templates
```
### Fleet Coordination
```typescript
const docsFleet = await FleetManager.coordinate({
strategy: 'documentation',
agents: [
'qe-quality-analyzer', // Generate and review
'qe-api-contract-validator' // API doc accuracy
],
topology: 'sequential'
});
```
---
## Related Skills
- [bug-reporting-excellence](../bug-reporting-excellence/) - Technical bug writing
- [code-review-quality](../code-review-quality/) - Review documentation
---
## Remember
**You're not writing to impress.** You're writing to help people solve problems you've already solved. Be the colleague you wish you'd had.
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