humanizer
Skill0 starsChanged 29 days agoLicence not identifiedView on GitHub
Rewrite AI-sounding text so it reads like the writer without changing what it says. Use when editing or reviewing prose for AI tells: not-X-but-Y contrasts, one-line closers, staged openers, forced triads, dashes everywhere, inflated claims, sales language, stock AI words, bold labels, or filler. Based on Wikipedia's "Signs of AI writing."
198 other projects use a version of this, 86 of them edited.
Adopted by
Most recently taken up by
- aditya-vermax/skillstheir own version, first seen Nov 8, 2026
- chrisleekr/skillstheir own version, first seen Nov 8, 2026
- xhqing/CommunityManagerAgentedited, first seen Nov 8, 2026
- CloudChef/atlasclaw-providersedited, first seen Nov 8, 2026
- Fractera/Agent-Engineering-Infrastructureword for word, first seen Nov 8, 2026
- Fractera/Agentic-Engineering-Infrastructureword for word, first seen Nov 8, 2026
Used with
Projects with it also use economy-mode, personal-voice and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
Microsoft AzureSkilleconomy-mode
Shifts Layer 3 model selection to cost-optimized alternatives when economy mode is active.
Also in 4 projects that use this
petermuirurithuoSkillpersonal-voice
Captures the user's personality, communication style, and values. Use this skill whenever responding to the user, drafting anything on their behalf (emails, CVs, messages, opinions, explanations), or whenever tone, word choice, or how an opinion is delivered matters. Apply it by default for any prompt, not only when the user explicitly asks for "my style" or "my voice.
Also in 3 projects that use this
Microsoft AzureSkillarchitectural-proposals
How to write comprehensive architectural proposals that drive alignment before code is written
Also in 3 projects that use this
- +9 more from Azure
Other versions198 projects use a version of this.
Word for word · 24
- blader/humanizer★ 63k100% same
- QuivrHQ/quivr★ 40k100% same
- The-Vibe-Company/quivr★ 40k100% same
- deadlock-mod-manager/deadlock-mod-manager★ 584100% same
- Ootto-AI/claude-content-skills★ 417100% same
- Fractera/Agent-Engineering-Infrastructure★ 61100% same
- Fractera/Agentic-Engineering-Infrastructure★ 61100% same
- jiujiastudy/jiujiastudy★ 33100% same
- sherifabdlnaby/skills★ 9100% same
- Quazmoz/agentdefaults★ 5100% same
14 more not listed
Edited · 86
- NousResearch/hermes-agent★ 262k11% same
- rommapp/romm★ 14k92% same
- latitude-dev/latitude-llm★ 4.7k12% same
- compozy/compozy★ 2.9k11% same
- SRombauts/SQLiteCpp★ 2.8k12% same
- memohai/Memoh★ 2.8k15% same
- unpoly/unpoly★ 2.8k92% same
- felinics/Memoh★ 2.8k15% same
- bruin-data/bruin★ 1.8k15% same
- classroomio/classroomio★ 1.7k14% same
76 more not listed
Wrote their own version · 88
- github/gh-aw★ 5.6ksame name
- github/squad★ 3.4ksame name
- QuixiAI/agi-memory★ 623same name
- QuixiAI/Hexis★ 623same name
- kellerlabs/homeracker★ 553same name
- kellervater/homeracker★ 553same name
- waybarrios/opencode-power-pack★ 547same name
- atilladeniz/Kubeli★ 387same name
- NulightJens/humanizer-stack★ 283same name
- Aboudjem/humanizer-skill★ 248same name
78 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository28 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .cursor/rules/docs-accuracy.mdcCursor rule
- .cursor/rules/markdown-prose.mdcCursor rule
- .cursor/rules/no-invented-facts.mdcCursor rule
- changelog-automationSkill
- de-slopSkill
- diagram-designSkill
- documentation-and-adrsSkill
- draft-changelogSkill
- hadsSkill
- neat-freakSkill
- openapi-spec-generationSkill
- prSkill
- write-readmeSkill
- writing-for-agentsSkill
- changelog-automationSkill
- de-slopSkill
- diagram-designSkill
- documentation-and-adrsSkill
- draft-changelogSkill
- hadsSkill
- humanizerSkill
- neat-freakSkill
- openapi-spec-generationSkill
- prSkill
- write-readmeSkill
- writing-for-agentsSkill
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 6 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 161 edited versions we read keep these.
6
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 161 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

