Make Your Agent's Writing Sound Human with humanize-text-en

Where this fits

You ask an agent to draft a product guide, you read the output, and you already know the next line: “In today’s fast-paced digital landscape…”. The grammar is fine, but the rhythm is predictable. This skill gives the agent a concrete editing pass that removes those high-frequency AI patterns and turns polished-but-stiff copy into prose that sounds like a real person wrote it.

Why agents benefit

• Agents can apply the skill during generation, not only as a post-editing step, so robotic structures never enter the draft.
• It targets specific tells like “delve,” “landscape,” “not only… but also,” “furthermore,” and “it is important to note,” which are common in ChatGPT-style output.
• It produces consistent voice across emails, docs, and marketing copy without requiring a separate style model.
• It shortens the “make this sound less robotic” feedback loop by doing a single rewrite pass with defined criteria.
• It is language-agnostic under the hood and works with any LLM, so you can add it to an existing agent toolchain without switching providers.

Practical scenarios

Drafting a blog post for developers

The agent generates a technical explainer, then runs it through humanize-text-en. “Unlock the power of” becomes “use,” and generic transitions become direct statements. The final post reads like an engineer wrote it in one take.

Reviewing client-facing emails

Support needs an incident summary sent to customers. The agent rewrites a stiff “We are pleased to inform you” draft into a clear “Here is what happened and what we changed” message, while keeping the facts and tone intact.

Repurposing a long guide into social posts

The agent pulls an API guide into a thread. Without the skill, the output sounds like bullet points from a whitepaper. With it, the thread turns into conversational fragments with natural asides, so it fits the social context.

Add it to your agent workflow

Install the skill with:

npx skills add fernandotellado/ai-skills --skill humanize-text-en

Then reference it in your agent prompt:

You are an editor. Use humanize-text-en on this draft:

Draft: "In today's digital landscape, it is essential to leverage best practices..."

The agent should output something like: “Today, use practices that actually work.”

Compare before adopting

Before wiring it into production, compare quality signals: does it remove only surface phrases, or does it also adjust sentence rhythm and word choice? Check maintenance freshness—is the phrase list updated as new AI tells appear? Compare alternatives like a custom prompt or a dedicated paraphrasing API. Also assess workflow fit: does the skill output a clean rewrite or inline annotations? For most agent pipelines, a simple pass-through normalization is easier to evaluate.

Why it is worth tracking

humanize-text-en is a small, focused skill with clear trigger conditions and a GPL-2.0 license, which makes it easy to inspect and modify. Its 40-star repo is not huge, but community momentum matters less than maintainability: if the author keeps updating phrase lists with new AI tells, the skill stays useful. Track release cadence, before/after examples, and issue responses. If your agents produce English prose for external readers, this is a simple addition that saves reviewers hours. You can find the skill’s metadata and compatibility details on its OpenAgentSkill page: https://www.openagentskill.com/skills/fernandotellado-humanize-text-en.