writing

Draft, edit, and verify publication-ready written content with SEO checks.

11|1|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/Arcanada-one/datarim --skill writing-arcanada-one
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: writing
Source: https://github.com/Arcanada-one/datarim/tree/main/skills/writing
Command: npx skills add https://github.com/Arcanada-one/datarim --skill writing-arcanada-one

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents inconsistent, unverified, and poorly structured content by enforcing a repeatable research-to-publication writing and editorial workflow with built-in checks for facts, links, SEO, and launch readiness.

Core Features & Use Cases

  • Structured drafting workflow: Turns audience and message goals into an outline-led draft with section-level progression.
  • Verification guardrails: Requires primary-source-backed numbers, comparative-metric context, and link/URL accessibility checks before publication.
  • Editorial and publication readiness: Runs self-review for coherence and argument flow, then editor review for AI-pattern removal, style consistency, and structural balance; prepares final platform-specific formatting plus analytics and technical SEO checklist.

Quick Start

Draft a blog post for a chosen audience using the provided outline, marking any claims needing verification with verify comments, then run self-review for structure, sourcing, and link validity.

Frequently Asked Questions about writing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create publication-ready content with built-in fact verification?▼

To create publication-ready content, draft an outline-led structure and enforce primary-source-backed claims with comparative metrics context. This workflow ensures fact verification by marking unverified claims during drafting and checking URL accessibility before publication.

What is the best way to remove AI artifacts during editorial review?▼

The best way to remove AI artifacts during editorial review is to run a dedicated self-review for coherence and argument flow, followed by an editor scan specifically targeting AI-pattern removal, style consistency, and structural balance.

Can I use this content writing workflow for technical documentation and research papers?▼

Yes, you can use this content writing workflow for technical documentation and research papers. The structured drafting, primary-source verification, and editorial review processes apply across blog posts, project reports, and legal documents.

Does this workflow handle technical SEO and go-to-market launch preparation?▼

Yes, this workflow handles technical SEO and go-to-market launch preparation by applying platform-specific formatting, enforcing publication readiness checks, and generating an analytics and technical SEO checklist prior to launch.

How do I verify URL accessibility and primary sources before publishing?▼

You verify URL accessibility and primary sources by marking claims needing verification with specific comments during the outline-led draft, then running validation checks to ensure all linked URLs are accessible and numbers are backed by primary sources.

What are the limitations of using AI-assisted content creation for structured drafting?▼

A key limitation of AI-assisted content creation is the risk of unverified claims and AI patterns, requiring strict editorial scans for structural balance and mandatory primary-source verification to ensure publication readiness.