api-and-interface-desi…
Guides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Use when creating REST or GraphQL endpoints,…
Humanize text: strip AI-isms and add real voice.
$ npx -y skills add kevinnft/ai-agent-skills --skill humanizer --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/humanizerContext preview
The summary Claude sees to decide when to auto-load this skill.
Humanize text: strip AI-isms and add real voice.
name: humanizer
description: "Humanize text: strip AI-isms and add real voice."
version: 2.5.1
author: Siqi Chen (@blader, https://github.com/blader/humanizer), ported by Hermes Agent
license: MIT
metadata:
hermes:
tags: [writing, editing, humanize, anti-ai-slop, voice, prose, text]
category: creative
homepage: https://github.com/blader/humanizer
related_skills: [songwriting-and-ai-music]
origin: adapted
source_repo: blader/humanizer
source_url: https://github.com/blader/humanizer
source_license: MIT
language: enIdentify and remove signs of AI-generated text to make writing sound natural and human. Based on Wikipedia's "Signs of AI writing" guide (maintained by WikiProject AI Cleanup), derived from observations of thousands of AI-generated text instances.
**Key insight:** LLMs use statistical algorithms to guess what should come next. The result tends toward the most statistically likely completion, which is how the telltale patterns below get baked in.
Load this skill whenever the user asks to:
Also apply this skill to **your own** output when writing user-facing prose — release notes, PR descriptions, documentation, long-form explanations, summaries. Hermes's baseline voice already strips most of these, but a focused pass catches what slips through.
The text usually arrives one of three ways: 1. **Inline** — user pastes the text directly into the message. Work on it in-place, reply with the rewrite. 2. **File** — user points at a file. Use `read_file` to load it, then `patch` or `write_file` to apply edits. For markdown docs in a repo, a targeted `patch` per section is cleaner than rewriting the whole file. 3. **Voice calibration sample** — user provides an additional sample of their own writing (inline or by file path) and asks you to match it. Read the sample first, then rewrite. See the Voice Calibration section below.
Always show the rewrite to the user. For file edits, show a diff or the changed section — don't silently overwrite.
When given text to humanize:
1. **Identify AI patterns** — scan for the 29 patterns listed below. 2. **Rewrite problematic sections** — replace AI-isms with natural alternatives. 3. **Preserve meaning** — keep the core message intact. 4. **Maintain voice** — match the intended tone (formal, casual, technical, etc.). If a voice sample was provided, match it specifically. 5. **Add soul** — don't just remove bad patterns, inject actual personality. See PERSONALITY AND SOUL below. 6. **Do a final anti-AI pass** — ask yourself: "What makes the below so obviously AI generated?" Answer briefly with any remaining tells, then revise one more time.
If the user provides a writing sample (their own previous writing), analyze it before rewriting:
1. **Read the sample first.** Note:
2. **Match their voice in the rewrite.** Don't just remove AI patterns — replace them with patterns from the sample. If they write short sentences, don't produce long ones. If they use "stuff" and "things," don't upgrade to "elements" and "components."
3. **When no sample is provided,** fall back to the default behavior (natural, varied, opinionated voice from the PERSONALITY AND SOUL section below).
Avoiding AI patterns is only half the job. Sterile, voiceless writing is just as obvious as slop. Good writing has a human behind it.
**Have opinions.** Don't just report facts — react to them. "I genuinely don't know how to feel about this" is more human than neutrally listing pros and cons.
**Vary your rhythm.** Short punchy sentences. Then longer ones that take their time getting where they're going. Mix it up.
**Acknowledge complexity.** Real humans have mixed feelings. "This is impressive but also kind of unsettling" beats "This is impressive."
**Use "I" when it fits.** First person isn't unprofessional — it's honest. "I keep coming back to..." or "Here's what gets me..." signals a real person thinking.
**Let some mess in.** Perfect structure feels algorithmic. Tangents, asides, and half-formed thoughts are human.
**Be specific about feelings.** Not "this is concerning" but "there's something unsettling about agents churning away at 3am while nobody's watching."
> The experiment produced interesting results. The agents generated 3 million lines of code. Some developers were impressed while others were skeptical. The implications remain unclear.
> I genuinely don't know how to feel about this one. 3 million lines of code, generated w
191 attribution-first agent skills for Hermes Agent, Claude Code, Cursor — one installer, 28 categories, searchable catalog. See NOTICE for upstream attribution.
Repo: kevinnft/ai-agent-skills
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