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.
Related Guides
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
```
Browse all apps: `infsh app list`Related Skills
Copywriting
## Purpose
technical-diagram-analyzer
Technical Diagram Analyzer - Auto-activating skill for Visual Content. Triggers on: technical diagram analyzer, technical diagram analyzer Part of the Visual Content skill category.
technical-analyst
Technical analysis translator for Product Managers. Use when the user needs to understand a system, codebase, API, or technical concept in PM-friendly terms. Triggers include "understand system", "explain code", "technical analysis", "how does X work", "what does this service do", or when exploring unfamiliar technical territory.
spec-writing
Execute this skill should be used when the user asks about "writing specs", "specs.md format", "how to write specifications", "sprint requirements", "testing configuration", "scope definition", or needs guidance on creating effective sprint specifications for agentic development. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
gtm-technical-product-pricing
Pricing strategy for technical products. Use when choosing usage-based vs seat-based, designing freemium thresholds, structuring enterprise pricing conversations, deciding when to raise prices, or using price as a positioning signal.
create-technical-spike
Create time-boxed technical spike documents for researching and resolving critical development decisions before implementation.
blog-writing-guide
Write, review, and improve blog posts for the Sentry engineering blog following Sentry's specific writing standards, voice, and quality bar. Use this skill whenever someone asks to write a blog post, draft a technical article, review blog content, improve a draft, write a product announcement, create an engineering deep-dive, or produce any written content destined for the Sentry blog or developer audience. Also trigger when the user mentions "blog post," "blog draft," "write-up," "announcement post," "engineering post," "deep dive," "postmortem," or asks for help with technical writing for Sentry. Even if the user just says "help me write about [feature/topic]" — if it sounds like it could become a Sentry blog post, use this skill.
Writing Fuzzing Harnesses
A fuzzing harness is the entrypoint function that receives random data from the fuzzer and routes it to your system under test (SUT). The quality of your harness directly determines which code paths get exercised and whether critical bugs are found. A poorly written harness can miss entire subsystems or produce non-reproducible crashes.
blogwatcher
Track blog and RSS/Atom feed updates with the `blogwatcher` CLI.
blog-planner
Interactive blog post authoring. Produces a draft blog post file with structured outline, inline guidance comments, and meta briefs that the author proses up in place. Supports pyramid principle, best sales deck, and release post formats.
user-guide-writing
Write clear and helpful user guides and tutorials for end users. Use when creating onboarding docs, how-to guides, or FAQ pages. Handles user-focused documentation, screenshots, step-by-step instructions.
technical-writing
Write clear, comprehensive technical documentation. Use when creating specs, architecture docs, runbooks, or API documentation. Handles technical specifications, system design docs, operational guides, and developer documentation with industry best practices.