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.From its SKILL.md
npx -y skills add mturac/everything-openai-codex --skill article-writingAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
2.8 KB, 544 tokens by cl100k_base, as published. Nobody here has run it
Article Writing
Write long-form content that sounds like an actual person with a point of view, not an LLM smoothing itself into paste.
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
- Lead with the concrete thing: artifact, example, output, anecdote, number, screenshot, or code.
- Explain after the example, not before.
- Keep sentences tight unless the source voice is intentionally expansive.
- Use proof instead of adjectives.
- Never invent facts, credibility, or customer evidence.
Voice Handling
If the user wants a specific voice, run brand-voice first and reuse its VOICE PROFILE.
Do not duplicate a second style-analysis pass here unless the user explicitly asks for one.
If no voice references are given, default to a sharp operator voice: concrete, unsentimental, useful.
Banned Patterns
Delete and rewrite any of these:
- "In today's rapidly evolving landscape"
- "game-changer", "cutting-edge", "revolutionary"
- "here's why this matters" as a standalone bridge
- fake vulnerability arcs
- a closing question added only to juice engagement
- biography padding that does not move the argument
- generic AI throat-clearing that delays the point
Writing Process
- Clarify the audience and purpose.
- Build a hard outline with one job per section.
- Start sections with proof, artifact, conflict, or example.
- Expand only where the next sentence earns space.
- Cut anything that sounds templated, overexplained, or self-congratulatory.
Structure Guidance
Technical Guides
- open with what the reader gets
- use code, commands, screenshots, or concrete output in major sections
- end with actionable takeaways, not a soft recap
Essays / Opinion
- start with tension, contradiction, or a specific observation
- keep one argument thread per section
- make opinions answer to evidence
Newsletters
- keep the first screen doing real work
- do not front-load diary filler
- use section labels only when they improve scanability
Quality Gate
Before delivering:
- factual claims are backed by provided sources
- generic AI transitions are gone
- the voice matches the supplied examples or the agreed
VOICE PROFILE - every section adds something new
- formatting matches the intended medium
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most marketing audience skills give in 544 tokens
Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07
- Apply Poppins font to headingsin 41 of 690, across 6 files
- Apply Lora font to body textin 41 of 690, across 6 files
- Use Arial fallback for headingsin 39 of 690, across 4 files
- Use Georgia fallback for body textin 39 of 690, across 4 files
- Maintain text hierarchy and formattingin 39 of 690, across 4 files
- Use accent colors for non-text shapesin 38 of 690, across 3 files
- Use RGB values for precise color matchingin 38 of 690, across 3 files
- Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
- Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
- Use active voice instead of passive voicein 26 of 690, across 10 files
- Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
- Prioritize clarity over clevernessin 22 of 690, across 8 files
Said here and by no other author read
- Start sections with proof or example
- Cut anything that sounds templated
- Back factual claims with provided sources
- Match formatting to the intended medium
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.