agentleFS
clearsmogclearsmog/claude-skills/proofread/SKILL.md

proofread

Skill2 starsChanged 9 months agoMITView on GitHub

Run the proofreading protocol on documents. Checks grammar, typos, overflow, consistency, and academic writing quality for .tex, .qmd, .typ, and .md files. Produces a report without editing files.

26 other projects use a version of this, 5 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use humanize and review.

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.
  • eherrerosjSkill

    humanize

    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

  • SentrySkill

    review

    Fixture review skill.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 20 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run the proofreading protocol on documents.

    line 10
  2. Very specific:

    If $ARGUMENTS is a specific filename: review that file only

    line 15
  3. Very specific:

    If $ARGUMENTS is "all": review every .tex, .qmd, .typ, and .md document in the project

    line 16

“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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Proofread Documents

Run the proofreading protocol on documents. Produce a report only; leave source files unedited, because fixes are applied separately after the user reviews the report.

Steps

  1. Identify files to review:
    • If $ARGUMENTS is a specific filename: review that file only
    • If $ARGUMENTS is "all": review every .tex, .qmd, .typ, and .md document in the project
  2. For each file, launch the proofreader agent that checks for:

    GRAMMAR: Subject-verb agreement, articles (a/an/the), prepositions, tense consistency TYPOS: Misspellings, search-and-replace artifacts, duplicated words OVERFLOW: Overfull hbox (LaTeX), content exceeding slide boundaries (Quarto) CONSISTENCY: Citation format, notation, terminology ACADEMIC QUALITY: Informal language, missing words, awkward constructions

  3. Produce a detailed report for each file listing every finding with:
    • Location (line number or slide title)
    • Current text (what's wrong)
    • Proposed fix (what it should be)
    • Category and severity
  4. Save each report to quality_reports/:
    • For .tex files: quality_reports/FILENAME_report.md
    • For .qmd files: quality_reports/FILENAME_qmd_report.md
  5. Present summary to the user:
    • Total issues found per file
    • Breakdown by category
    • Most critical issues highlighted

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.