technical-blog-writing
Technical blog post writing with structure, code examples, and developer audience conventions. Covers post types, code formatting, explanation depth, and developer-specific engagement patterns. Use for: engineering blogs, dev tutorials, technical writing, developer content, documentation posts. Triggers: technical blog, dev blog, engineering blog, technical writing, developer tutorial, tech post, code tutorial, programming blog, developer content, technical article, engineering post, coding tutorial, technical content
Best use case
technical-blog-writing is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Technical blog post writing with structure, code examples, and developer audience conventions. Covers post types, code formatting, explanation depth, and developer-specific engagement patterns. Use for: engineering blogs, dev tutorials, technical writing, developer content, documentation posts. Triggers: technical blog, dev blog, engineering blog, technical writing, developer tutorial, tech post, code tutorial, programming blog, developer content, technical article, engineering post, coding tutorial, technical content
Teams using technical-blog-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-blog-writing/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How technical-blog-writing Compares
| Feature / Agent | technical-blog-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?
Technical blog post writing with structure, code examples, and developer audience conventions. Covers post types, code formatting, explanation depth, and developer-specific engagement patterns. Use for: engineering blogs, dev tutorials, technical writing, developer content, documentation posts. Triggers: technical blog, dev blog, engineering blog, technical writing, developer tutorial, tech post, code tutorial, programming blog, developer content, technical article, engineering post, coding tutorial, technical content
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.
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SKILL.md Source
# Technical Blog Writing
Write developer-focused technical blog posts via [inference.sh](https://inference.sh) CLI.
## Quick Start
```bash
curl -fsSL https://cli.inference.sh | sh && infsh login
# Research topic depth
infsh app run exa/search --input '{
"query": "building REST API Node.js best practices 2024 tutorial"
}'
# Generate header image
infsh app run infsh/html-to-image --input '{
"html": "<div style=\"width:1200px;height:630px;background:linear-gradient(135deg,#0f172a,#1e293b);display:flex;align-items:center;padding:60px;font-family:ui-monospace,monospace;color:white\"><div><p style=\"font-size:18px;color:#38bdf8;margin:0\">// engineering blog</p><h1 style=\"font-size:48px;margin:16px 0;font-weight:800;font-family:system-ui;line-height:1.2\">How We Reduced API Latency by 90% with Edge Caching</h1><p style=\"font-size:20px;opacity:0.6;font-family:system-ui\">A deep dive into our CDN architecture</p></div></div>"
}'
```
> **Install note:** The [install script](https://cli.inference.sh) only detects your OS/architecture, downloads the matching binary from `dist.inference.sh`, and verifies its SHA-256 checksum. No elevated permissions or background processes. [Manual install & verification](https://dist.inference.sh/cli/checksums.txt) available.
## Post Types
### 1. Tutorial / How-To
Step-by-step instruction. The reader should be able to follow along and build something.
```
Structure:
1. What we're building (with screenshot/demo)
2. Prerequisites
3. Step 1: Setup
4. Step 2: Core implementation
5. Step 3: ...
6. Complete code (GitHub link)
7. Next steps / extensions
```
| Rule | Why |
|------|-----|
| Show the end result first | Reader knows if it's worth continuing |
| List prerequisites explicitly | Don't waste time of wrong audience |
| Every code block should be runnable | Copy-paste-run is the test |
| Explain the "why" not just the "how" | Tutorials that explain reasoning get shared |
| Include error handling | Real code has errors |
| Link to complete code repo | Reference after tutorial |
### 2. Deep Dive / Explainer
Explains a concept, technology, or architecture decision in depth.
```
Structure:
1. What is [concept] and why should you care?
2. How it works (simplified mental model)
3. How it works (detailed mechanics)
4. Real-world example
5. Trade-offs and when NOT to use it
6. Further reading
```
### 3. Postmortem / Incident Report
Describes what went wrong, why, and what was fixed.
```
Structure:
1. Summary (what happened, impact, duration)
2. Timeline of events
3. Root cause analysis
4. Fix implemented
5. What we're doing to prevent recurrence
6. Lessons learned
```
### 4. Benchmark / Comparison
Data-driven comparison of tools, approaches, or architectures.
```
Structure:
1. What we compared and why
2. Methodology (so results are reproducible)
3. Results with charts/tables
4. Analysis (what the numbers mean)
5. Recommendation (with caveats)
6. Raw data / reproducibility instructions
```
### 5. Architecture / System Design
Explains how a system is built and why decisions were made.
```
Structure:
1. Problem we needed to solve
2. Constraints and requirements
3. Options considered
4. Architecture chosen (with diagram)
5. Trade-offs we accepted
6. Results and lessons
```
## Writing Rules for Developers
### Voice and Tone
| Do | Don't |
|----|-------|
| Be direct: "Use connection pooling" | "You might want to consider using..." |
| Admit trade-offs: "This adds complexity" | Pretend your solution is perfect |
| Use "we" for team decisions | "I single-handedly architected..." |
| Specific numbers: "reduced p99 from 800ms to 90ms" | "significantly improved performance" |
| Cite sources and benchmarks | Make unsourced claims |
| Acknowledge alternatives | Pretend yours is the only way |
### What Developers Hate
```
❌ "In today's fast-paced world of technology..." (filler)
❌ "As we all know..." (if we all know, why are you writing it?)
❌ "Simply do X" (nothing is simple if you're reading a tutorial)
❌ "It's easy to..." (dismissive of reader's experience)
❌ "Obviously..." (if it's obvious, don't write it)
❌ Marketing language in technical content
❌ Burying the lede under 3 paragraphs of context
```
### Code Examples
| Rule | Why |
|------|-----|
| Every code block must be runnable | Broken examples destroy trust |
| Show complete, working examples | Snippets without context are useless |
| Include language identifier in fenced blocks | Syntax highlighting |
| Show output/result after code | Reader verifies understanding |
| Use realistic variable names | `calculateTotalRevenue` not `foo` |
| Include error handling in examples | Real code handles errors |
| Pin dependency versions | "Works with React 18.2" not "React" |
```
Good code block format:
```python
# What this code does (one line)
def calculate_retry_delay(attempt: int, base_delay: float = 1.0) -> float:
"""Exponential backoff with jitter."""
delay = base_delay * (2 ** attempt)
jitter = random.uniform(0, delay * 0.1)
return delay + jitter
# Usage
delay = calculate_retry_delay(attempt=3) # ~8.0-8.8 seconds
```
```
### Explanation Depth
| Audience Signal | Depth |
|----------------|-------|
| "Getting started with X" | Explain everything, assume no prior knowledge |
| "Advanced X patterns" | Skip basics, go deep on nuances |
| "X vs Y" | Assume familiarity with both, focus on differences |
| "How we built X" | Technical audience, can skip fundamentals |
**State your assumed audience level explicitly** at the start:
```
"This post assumes familiarity with Docker and basic Kubernetes concepts.
If you're new to containers, start with [our intro post]."
```
## Blog Post Structure
### The Ideal Structure
```markdown
# Title (contains primary keyword, states outcome)
[Hero image or diagram]
**TL;DR:** [2-3 sentence summary with key takeaway]
## The Problem / Why This Matters
[Set up why the reader should care — specific, not generic]
## The Solution / How We Did It
[Core content — code, architecture, explanation]
### Step 1: [First thing]
[Explanation + code + output]
### Step 2: [Second thing]
[Explanation + code + output]
## Results
[Numbers, benchmarks, outcomes — be specific]
## Trade-offs and Limitations
[Honest about downsides — builds trust]
## Conclusion
[Key takeaway + what to do next]
## Further Reading
[3-5 relevant links]
```
### Word Count by Type
| Type | Word Count | Why |
|------|-----------|-----|
| Quick tip | 500-800 | One concept, one example |
| Tutorial | 1,500-3,000 | Step-by-step needs detail |
| Deep dive | 2,000-4,000 | Thorough exploration |
| Architecture post | 2,000-3,500 | Diagrams carry some load |
| Benchmark | 1,500-2,500 | Data and charts do heavy lifting |
## Diagrams and Visuals
### When to Use Diagrams
| Scenario | Diagram Type |
|----------|-------------|
| Request flow | Sequence diagram |
| System architecture | Box-and-arrow diagram |
| Decision logic | Flowchart |
| Data model | ER diagram |
| Performance comparison | Bar/line chart |
| Before/after | Side-by-side |
```bash
# Generate architecture diagram
infsh app run infsh/html-to-image --input '{
"html": "<div style=\"width:1200px;height:600px;background:#0f172a;display:flex;align-items:center;justify-content:center;padding:40px;font-family:system-ui;color:white\"><div style=\"display:flex;gap:40px;align-items:center\"><div style=\"background:#1e293b;border:2px solid #334155;border-radius:8px;padding:24px;text-align:center;width:160px\"><p style=\"font-size:14px;color:#94a3b8;margin:0\">Client</p><p style=\"font-size:18px;font-weight:bold;margin:8px 0 0\">React App</p></div><div style=\"color:#64748b;font-size:32px\">→</div><div style=\"background:#1e293b;border:2px solid #3b82f6;border-radius:8px;padding:24px;text-align:center;width:160px\"><p style=\"font-size:14px;color:#94a3b8;margin:0\">Edge</p><p style=\"font-size:18px;font-weight:bold;margin:8px 0 0\">CDN Cache</p></div><div style=\"color:#64748b;font-size:32px\">→</div><div style=\"background:#1e293b;border:2px solid #334155;border-radius:8px;padding:24px;text-align:center;width:160px\"><p style=\"font-size:14px;color:#94a3b8;margin:0\">API</p><p style=\"font-size:18px;font-weight:bold;margin:8px 0 0\">Node.js</p></div><div style=\"color:#64748b;font-size:32px\">→</div><div style=\"background:#1e293b;border:2px solid #334155;border-radius:8px;padding:24px;text-align:center;width:160px\"><p style=\"font-size:14px;color:#94a3b8;margin:0\">Database</p><p style=\"font-size:18px;font-weight:bold;margin:8px 0 0\">PostgreSQL</p></div></div></div>"
}'
# Generate benchmark chart
infsh app run infsh/python-executor --input '{
"code": "import matplotlib.pyplot as plt\nimport matplotlib\nmatplotlib.use(\"Agg\")\n\nfig, ax = plt.subplots(figsize=(12, 6))\nfig.patch.set_facecolor(\"#0f172a\")\nax.set_facecolor(\"#0f172a\")\n\ntools = [\"Express\", \"Fastify\", \"Hono\", \"Elysia\"]\nrps = [15000, 45000, 62000, 78000]\ncolors = [\"#64748b\", \"#64748b\", \"#3b82f6\", \"#64748b\"]\n\nax.barh(tools, rps, color=colors, height=0.5)\nfor i, v in enumerate(rps):\n ax.text(v + 1000, i, f\"{v:,} req/s\", va=\"center\", color=\"white\", fontsize=14)\n\nax.set_xlabel(\"Requests per second\", color=\"white\", fontsize=14)\nax.set_title(\"HTTP Framework Benchmark (Hello World)\", color=\"white\", fontsize=18, fontweight=\"bold\")\nax.tick_params(colors=\"white\", labelsize=12)\nax.spines[\"top\"].set_visible(False)\nax.spines[\"right\"].set_visible(False)\nax.spines[\"bottom\"].set_color(\"#334155\")\nax.spines[\"left\"].set_color(\"#334155\")\nplt.tight_layout()\nplt.savefig(\"benchmark.png\", dpi=150, facecolor=\"#0f172a\")\nprint(\"Saved\")"
}'
```
## Distribution
### Where Developers Read
| Platform | Format | How to Post |
|----------|--------|-------------|
| Your blog | Full article | Primary — own your content |
| Dev.to | Cross-post (canonical URL back to yours) | Markdown import |
| Hashnode | Cross-post (canonical URL) | Markdown import |
| Hacker News | Link submission | Show HN for projects, tell HN for stories |
| Reddit (r/programming, r/webdev, etc.) | Link or discussion | Follow subreddit rules |
| Twitter/X | Thread summary + link | See twitter-thread-creation skill |
| LinkedIn | Adapted version + link | See linkedin-content skill |
```bash
# Cross-post thread to X
infsh app run x/post-create --input '{
"text": "New blog post: How We Reduced API Latency by 90%\n\nThe short version:\n→ Moved computation to edge\n→ Aggressive cache-control headers\n→ Eliminated N+1 queries\n\np99 went from 800ms to 90ms.\n\nFull deep dive with code: [link]"
}'
```
## Common Mistakes
| Mistake | Problem | Fix |
|---------|---------|-----|
| No TL;DR | Busy devs leave before getting the point | 2-3 sentence summary at the top |
| Broken code examples | Destroys all credibility | Test every code block before publishing |
| No version pinning | Code breaks in 6 months | "Works with Node 20, React 18.2" |
| "Simply do X" | Dismissive, condescending | Remove "simply", "just", "easily" |
| No diagrams for architecture | Walls of text describing systems | One diagram > 500 words of description |
| Marketing tone | Developers instantly disengage | Direct, technical, honest |
| No trade-offs section | Reads as biased marketing | Always discuss downsides |
| Giant introduction before content | Readers bounce | Get to the point in 2-3 paragraphs |
| Unpinned dependencies | Tutorial breaks for future readers | Pin versions, note date written |
| No "Further Reading" | Dead end, no context | 3-5 links to deepen understanding |
## Related Skills
```bash
npx skills add inference-sh/skills@seo-content-brief
npx skills add inference-sh/skills@content-repurposing
npx skills add inference-sh/skills@og-image-design
```
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