technical-blog-writing
Guides the creation of high-quality technical blog posts, tutorials, and developer documentation with code-focused examples.
Install
mkdir -p .claude/skills/technical-blog-writing && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/15342" && unzip -o skill.zip -d .claude/skills/technical-blog-writing && rm skill.zipInstalls to .claude/skills/technical-blog-writing
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
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 contentKey capabilities
- →Write step-by-step tutorial posts
- →Explain concepts in deep dive articles
- →Document incident reports
- →Compare tools or architectures with benchmarks
- →Explain system architecture decisions
- →Format code examples for clarity
How it works
This skill provides specific structures and writing rules for various types of technical blog posts, including tutorials, deep dives, and incident reports.
Inputs & outputs
When to use technical-blog-writing
- →Writing engineering blog posts
- →Creating technical tutorials
- →Drafting developer documentation
About this skill
Technical Blog Writing
Write developer-focused technical blog posts via inference.sh CLI.
Quick Start
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 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 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 |
# 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) | Markdo |
Content truncated.
When not to use it
- →When the audience is not developers
- →When the content is marketing-focused
Limitations
- →The skill focuses on content structure and writing rules for technical blogs
- →The skill does not generate images or cross-post content directly
How it compares
This skill offers predefined structures and rules for technical content, unlike a generic writing approach that lacks developer-specific conventions.
Compared to similar skills
technical-blog-writing side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| technical-blog-writing (this skill) | 0 | 4mo | Review | Intermediate |
| docs-write | 22 | 6mo | No flags | Beginner |
| content-research-writer | 15 | 10mo | No flags | Beginner |
| doc-coauthoring | 16 | 8mo | No flags | Beginner |
Try saying
Example prompts that trigger this skill in your AI assistant.
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