Agent skill

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.

Stars 19
Forks 4

Install this agent skill to your Project

npx add-skill https://github.com/x-cmd/skill/tree/main/data/affaanmustafa/article-writing

SKILL.md

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

Expand your agent's capabilities with these related and highly-rated skills.

x-cmd/skill

pufferlib

High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, or integration with game environments (Atari, Procgen, NetHack). Achieves 2-10x speedups over standard implementations. For quick prototyping or standard algorithm implementations with extensive documentation, use stable-baselines3 instead.

19 4
Explore
x-cmd/skill

fluidsim

Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.

19 4
Explore
x-cmd/skill

metabolomics-workbench-database

Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.

19 4
Explore
x-cmd/skill

geniml

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.

19 4
Explore
x-cmd/skill

zinc-database

Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.

19 4
Explore
x-cmd/skill

astropy

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

19 4
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results