Human Writing

Most AI writing has tells: the enthusiastic corporate openings, the vague claims about "leveraging synergies," the hedging that makes every sentence soft. This skill teaches Claude to write like an actual person with opinions and specific knowledge. It's built around pattern recognition, showing you what sounds robotic (buzzwords, generic transitions, robotic lists) and what sounds human (specific details, honest limitations, conversational asides). Use it when you're writing technical posts, documentation, or anything where sounding like a generic AI assistant will get your content ignored. The examples are drawn from real migration tools and developer workflows, so the advice is concrete rather than theoretical.

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last updated: Aug 21, 2026

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Install

$ npx -y skills add pr-pm/prpm --skill human-writing --agent claude-code

Installs into .claude/skills of the current project.

Files

Human-Style Writing

This skill helps you write content that reads like it was written by a real person with opinions, personality, and specific knowledge—not a corporate blog generator or AI assistant trying to sound helpful.

Core Principle

Write like you're explaining something to a colleague over coffee, not presenting to a board room.

Good writing is specific, opinionated, and conversational. Bad writing is generic, safe, and sounds like every other tech blog.

What Makes Writing Sound AI-Generated

❌ Patterns to Avoid

1. Over-Enthusiastic Openings

❌ "We're thrilled to announce..."
❌ "Today, we're excited to share..."
❌ "I'm delighted to introduce..."
❌ "Join us on this exciting journey..."

✅ "We built X because Y kept breaking."
✅ "Here's what we learned shipping X to production."
✅ "Most migration tools get you 70% of the way. Here's how we get to 95%."

2. Vague Claims Without Evidence

❌ "This revolutionary approach transforms how developers work."
❌ "Leveraging cutting-edge AI technology..."
❌ "A game-changing solution for modern development."
❌ "Unlock the full potential of your workflow."

SKILL.md on GitHub