humanizing-prose
Skill0 starsChanged 7 months agoCC-BY-SA-4.0View on GitHub
Rewrites and reviews prose so it sounds written by a specific human rather than generic AI output. Preserves meaning, facts, language, and audience while removing common AI tells and improving voice, specificity, restraint, rhythm, and reader trust. Use when humanizing AI-generated text, editing drafts, matching a writing sample, checking for AI-sounding prose, or revising essays, posts, docs, reports, emails, documentation copy, product copy, and multilingual prose in the source language.
We split this skill into the rules it gives an agent
22 rules. About 0 are common, 21 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈21
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
Licensed with conditions — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
In this repository42 other files it gives its agents.
- applying-composition-over-inheritanceSkill
- applying-practical-typographySkill
- applying-vertical-slice-architectureSkill
- arazzo-specificationSkill
- assessing-platform-scalabilitySkill
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- balancing-couplingSkill
- benchmarking-with-hyperfineSkill
- building-tuning-panelsSkill
- commenting-codeSkill
- creating-c4-diagramsSkill
- designing-backend-error-messagesSkill
- designing-deep-modulesSkill
- designing-rest-apisSkill
- explaining-code-changesSkill
- kotlin-functional-programmingSkill
- making-invalid-states-unrepresentableSkill
- markdown-section-summarizerSkill
- mermaid-sequence-diagramsSkill
- obsidian-best-practicesSkill
- property-based-testing-with-kotestSkill
- quizzing-before-approvingSkill
- rendering-clean-diagramsSkill
- reviewing-pull-requestsSkill
- searching-and-extracting-web-with-parallel-cliSkill
- slicing-pbisSkill
- specifying-by-exampleSkill
- tdd-with-llm-agentsSkill
- threat-modelingSkill
- toon-formatSkill
- tweet-reviewSkill
- using-git-notes-for-ai-contextSkill
- using-lightpandaSkill
- using-markitSkill
- writing-agent-skillsSkill
- writing-anki-cardsSkill
- writing-checklist-communicationsSkill
- writing-git-commit-messagesSkill
- writing-okrsSkill
- writing-persuasive-documentsSkill
- writing-project-status-reportsSkill
- writing-wiki-contentSkill
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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.

