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Human-Sounding Content Writer
Write blog posts, newsletters, and web copy that avoid robotic AI patterns and sound like a real person.
Free
Works with the AI Agents you already use
Human-Sounding Content Writer
Example session with this skill installed
Write a short newsletter section for developers about why they should stop using "moreover" and "furthermore" in their documentation. Make it punchy.
- Read your context and instructions
- Compiled the human-sounding content writer
I've drafted a short, punchy newsletter section that follows the "Human Content Writer" constraints, focusing on removing unnecessary transitional fluff.
The Case Against Transitional Fluff
Stop writing documentation like you’re trying to hit a word count in a high school essay.
"Moreover" and "furthermore" are the biggest offenders. You think they make you sound authoritative. They don't. They just add friction. They tell the reader, "Hold on, I’m about to add another point, but I need a fancy bridge to get there."
Real developers don't talk like that.
When you’re explaining a breaking change or a new API endpoint, just say the thing. If the logic is sound, the sentences will connect themselves. If they don't, a "furthermore" isn't going to save a weak argument. It just masks poor structure.
Try this instead. Write your paragraph. Then go back and delete every instance of "in addition," "moreover," and "consequently." Most of the time, the text gets faster. It hits harder.
Documentation is for getting work done. Don't make your users swim through verbal molasses to find the code snippet they actually need.
Next steps
- Review your current README for "throat-clearing" transitions.
- Read your last three PR descriptions out loud to check for robotic pacing.
- Replace one passive sentence with a direct, active one.
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About this skill
Writing content that sounds human is a persistent struggle for AI agents. This skill enforces specific stylistic constraints to strip away robotic markers, hedging, and repetitive structures. It prioritizes a distinct point of view and conversational rhythm over the standard, predictable output generated by default LLM prompts.
What it does
- Eliminates AI-isms by banning specific vocabulary like "delve," "tapestry," and "landscape."
- Enforces natural pacing through varied sentence and paragraph lengths to avoid symmetrical structures.
- Removes fluff by cutting "throat-clearing" intros and unnecessary transitional phrases like "moreover."
- Calibrates voice to match user-provided samples or a default "knowledgeable friend" persona.
- Strengthens claims by replacing passive voice and hedging with concrete details and active stances.
How it works
- Analyze voice by reviewing user-provided samples or defining a target tone.
- Draft content using specific length constraints for blogs, newsletters, or landing pages.
- Execute the "Read Aloud" check to identify and fix sentences that cause mental friction.
- Refine structure by ensuring every section has a single idea and a meaningful subheading.
Frameworks & tools
This skill is framework-agnostic and functions within any Markdown-supported editor or agent environment. It is designed for content creators using tools like Claude, Cursor, or ChatGPT.
Why this beats prompting it yourself
Most prompts fail because they ask for "human-like" text without defining the mechanical rules that make writing sound human. This skill codifies specific negative constraints—like limiting em-dashes and banning the "rule of three"—that are difficult to maintain in a single standard prompt.
Use cases
- Drafting blog posts that sound like personal essays rather than SEO filler.
- Writing newsletters that build a direct connection with a subscriber list.
- Creating landing page copy that is punchy, direct, and free of corporate jargon.
- Rewriting dry technical summaries into readable, conversational articles.
Known limitations
Does not support long-form books over 1,500 words in a single pass. Requires specific user input for voice matching to be highly accurate.
Single-pass length is capped at 1,500 words for blog posts. Accurate voice calibration requires the user to provide text samples.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
Reviews
This skill has been used 8 times.
Trust & safety
Security scan
Security scan passed 24 days ago
- Free with an Agensi account