article-writing
Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.
Best use case
article-writing is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.
Teams using article-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/article-writing/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How article-writing Compares
| Feature / Agent | article-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 articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.
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
# Article Writing Write long-form content that sounds like a real person or brand, not generic AI output. ## When to Activate - drafting blog posts, essays, launch posts, guides, tutorials, or newsletter issues - turning notes, transcripts, or research into polished articles - matching an existing founder, operator, or brand voice from examples - tightening structure, pacing, and evidence in already-written long-form copy ## Core Rules 1. Lead with the concrete thing: example, output, anecdote, number, screenshot description, or code block. 2. Explain after the example, not before. 3. Prefer short, direct sentences over padded ones. 4. Use specific numbers when available and sourced. 5. Never invent biographical facts, company metrics, or customer evidence. ## Voice Capture Workflow If the user wants a specific voice, collect one or more of: - published articles - newsletters - X / LinkedIn posts - docs or memos - a short style guide Then extract: - sentence length and rhythm - whether the voice is formal, conversational, or sharp - favored rhetorical devices such as parentheses, lists, fragments, or questions - tolerance for humor, opinion, and contrarian framing - formatting habits such as headers, bullets, code blocks, and pull quotes If no voice references are given, default to a direct, operator-style voice: concrete, practical, and low on hype. ## Banned Patterns Delete and rewrite any of these: - generic openings like "In today's rapidly evolving landscape" - filler transitions such as "Moreover" and "Furthermore" - hype phrases like "game-changer", "cutting-edge", or "revolutionary" - vague claims without evidence - biography or credibility claims not backed by provided context ## Writing Process 1. Clarify the audience and purpose. 2. Build a skeletal outline with one purpose per section. 3. Start each section with evidence, example, or scene. 4. Expand only where the next sentence earns its place. 5. Remove anything that sounds templated or self-congratulatory. ## Structure Guidance ### Technical Guides - open with what the reader gets - use code or terminal examples in every major section - end with concrete takeaways, not a soft summary ### Essays / Opinion Pieces - start with tension, contradiction, or a sharp observation - keep one argument thread per section - use examples that earn the opinion ### Newsletters - keep the first screen strong - mix insight with updates, not diary filler - use clear section labels and easy skim structure ## Quality Gate Before delivering: - verify factual claims against provided sources - remove filler and corporate language - confirm the voice matches the supplied examples - ensure every section adds new information - check formatting for the intended platform
Related Skills
article-strategy
Turn a raw idea into a structured article brief — defines audience, angle, core argument, competitive gap, and voice. Use before writing an outline or draft. The output of this skill is a brief that feeds directly into article-writing.
adr-writing
Architecture Decision Records (ADRs): when to write one, the standard template, how to document rejected alternatives with real reasoning, how to supersede outdated ADRs, and how to maintain a living ADR index. The reference for technical documentation that actually gets read.
zero-trust-patterns
Zero-Trust security patterns — mTLS between microservices (Istio/SPIFFE), SPIRE workload identity, OPA/Envoy authorization, NetworkPolicy default-deny-all, short-lived credentials, service mesh security, and Kubernetes RBAC hardening.
wireframing
Wireframing and prototyping workflow: fidelity levels (lo-fi sketch → mid-fi wireframe → hi-fi prototype), tool selection (Figma, Excalidraw, Balsamiq), user flow diagrams, wireframe annotation standards, information architecture (IA) mapping, and the handoff from wireframe to visual design. For developers who need to communicate UI structure before writing code.
webrtc-patterns
WebRTC patterns — peer connection setup, ICE/STUN/TURN configuration, signaling server design, SFU vs mesh topology, screen sharing, media track management, and reconnect/ICE restart handling.
webhook-patterns
Webhook patterns for receiving, verifying (HMAC), and idempotently processing third-party events. Covers Stripe, GitHub, and generic webhook patterns, delivery guarantees, retry handling, and testing.
web-performance
Web performance optimization: Core Web Vitals (LCP, CLS, INP), Lighthouse CI with budget configuration, bundle analysis (webpack-bundle-analyzer, vite-bundle-visualizer), hydration performance, network waterfall reading, image optimization (WebP/AVIF, srcset), and font performance.
wasm-performance
WebAssembly performance: wasm-opt binary optimization, size reduction (panic=abort, LTO, strip), profiling WASM in Chrome DevTools, memory management (linear memory, avoiding GC pressure), SIMD, and multi-threading with SharedArrayBuffer.
wasm-patterns
WebAssembly patterns: wasm-pack, wasm-bindgen (JS↔Wasm interop), WASI, Component Model, wasm-opt, Rust-to-WASM compilation, JS integration (web workers, streaming instantiation), and production deployment (CDN, Content-Type headers).
visual-testing
Visual Regression Testing: tool comparison (Chromatic/Percy/Playwright screenshots/BackstopJS), pixel-diff vs AI-based comparison, baseline management, flakiness strategies (masks, tolerances, waitForLoadState), CI integration with GitHub Actions, and Storybook integration.
visual-identity
Brand identity development: color palette construction (primary/secondary/semantic/neutral), logo concept brief writing, typeface pairings, brand voice definition, mood board direction, and Brand Guidelines document structure. Use when establishing or evolving a visual brand — not for implementing existing tokens.
ux-micro-patterns
UX micro-patterns for every product state: Empty States, Loading States (skeleton screens, spinners, optimistic UI), Error States, Success States, Confirmation Dialogs, Onboarding Flows, and Progressive Disclosure. These patterns apply to every feature — done wrong, they're the biggest source of user confusion.