proofread
Skill0 starsChanged 2 months agoNo licenceView on GitHub
Proofread a thesis chapter, abstract, or journal-facing section for grammar, style, clarity, and desk-reject red flags
26 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- pedrohcgs/claude-code-my-workflowtheir own version, first seen Nov 8, 2026
- NilsHellwig/acl-paper-skillstheir own version, first seen Nov 8, 2026
- flonat/flonat-researchtheir own version, first seen Nov 3, 2026
- obviousbread/docs-skillstheir own version, first seen Nov 1, 2026
- shuymn/skillstheir own version, first seen Nov 1, 2026
- dewil/claude-toolkittheir own version, first seen Nov 1, 2026
Used with
Projects with it also use humanize, deploy and 2 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.
eherrerosjSkillhumanize
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive 'Signs of AI writing' guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Triggers on: 'humanize', 'make this sound human', 'remove AI writing', 'de-AI', 'sound more natural', 'less robotic', 'too AI-sounding', or when reviewing text that reads like AI output.
Also in 3 projects that use this
VercelSkilldeploy
Deploy applications to Vercel. Use when the user says "deploy", "deploy to Vercel", "push to production", "deploy my app", or "go live".
Also in 3 projects that use this
Microsoft AzureSkillverify
End-to-end app testing pipeline for browser-based web apps on cloud browsers via Azure Playwright Workspaces: verify the live app, author tests for working flows, heal failing tests, then re-run with video and produce one consolidated report. Three phases (app verification, test authoring, test healing) plus a scoped final sanity run; each phase emits a sub-report. Use when asked to "verify my app", "make sure my app works and has good test coverage", "do a full QA pass", "add tests where I'm missing coverage", "fix failing tests and add new ones", "smoke test before deploy", "QA my deployment", or any combined verify-and-test ask. Requires Azure CLI (`az login`) and a Playwright Workspace resource ID — bootstraps configs on first invocation. Browser-based web apps with Playwright only — not for unit/API tests, native mobile/desktop, load/perf, or full accessibility audits.
Also in 3 projects that use this
SentrySkillreview
Fixture review skill.
Also in 3 projects that use this
Other versions26 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- AlessandroCaforio/Academic-Writing★ 1717% same
Wrote their own version · 25
- pedrohcgs/claude-code-my-workflow★ 1.7ksame name
- flonat/flonat-research★ 150same name
- maxwell2732/paper-replicate-agent-demo★ 134same name
- sonilo-ai/skills★ 117same name
- maxwell2732/my-submission-formatting-agent★ 106same name
- tance-mang/chinese-webnovel-skills★ 97same name
- JakobThumm/proofreading★ 38same name
- christopherkenny/skills★ 26same name
- amondnet/yoonmoon★ 17same name
- dewil/ai-toolkit★ 9same name
15 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 repository55 other files it gives its agents.
- humanizer/AGENTS.mdAGENTS.md
- _pi-config/AGENTS.mdAGENTS.md
- ai-disclosureSkill
- causal-analysisSkill
- check-methodologySkill
- diagnose-introductionSkill
- did-analysisSkill
- discussion-reviewSkill
- distill-introduction-exemplarSkill
- distill-methods-exemplarSkill
- distill-paper-exemplarSkill
- distill-results-exemplarSkill
- distill-story-exemplarSkill
- distill-theory-exemplarSkill
- empirical-intakeSkill
- empirical-pipeline-pythonSkill
- empirical-pipeline-stataSkill
- empirical-writeupSkill
- exploratory-data-analysisSkill
- grill-the-claimSkill
- handoffSkill
- humanizerSkill
- human-writingSkill
- huntington-klein-causal-designSkill
- intro-reviewSkill
- latex-tablesSkill
- literature-notes-obsidianSkill
- methods-reviewSkill
- miles-management-organization-theoriesSkill
- ml-analysisSkill
- notebooklm-pipelineSkill
- officecliSkill
- paper-reviewSkill
- paper-state-protocolSkill
- paper-story-contractSkill
- paper-writing-stackSkill
- polishSkill
- pollock-qcSkill
- python-panel-dataSkill
- research-gap-diagnosisSkill
- results-reviewSkill
- reverse-validation-pipelineSkill
- revision-coachSkill
- run-empirical-researchSkill
- stata-data-cleaningSkill
- stataSkill
- theory-reviewSkill
- toc-reviewSkill
- tod-debateSkill
- wooldridge-econometricsSkill
- write-introductionSkill
- write-methodsSkill
- write-resultsSkill
- write-theorySkill
- writing-for-agentsSkill
The file
We split this skill into the rules it gives an agent
7 rules. 0 are common, 5 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 20 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — 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 20 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.

