Topics / #plain-language

Plain-language projects on GitHub

Standards and techniques for writing clear, understandable text for any audience.

As of , the most-starred Plain-language projects on GitHub are SimpleEnglish (4.2K stars), open-steps (1.3K stars) and nobuzz (275 stars). GitHub.Locker tracks 5 Plain-language repositories with 6.1K stars combined. The fastest-growing on November 2 was SimpleEnglish, with +41 stars in a day.

5Projects
6.1KStars in total
+44Stars in a day

Hot right now

Most stars gained in a day · Nov 2

The all-time top

5 projects · by stars

  1. #1 · AminBlg/SimpleEnglish

    SimpleEnglish

    An agent skill that makes LLMs write plain English using ASD-STE100, the controlled language aerospace uses. It is meant for docs, READMEs, runbooks and error messages, so a tired reader cannot misread an instruction.

    4.2K
  2. #2 · kharmanskyi/open-steps

    open-steps

    Open Steps is a pack of agent skills for Claude Code, Codex, Cursor and Gemini CLI that makes AI coding agents report their work in plain language instead of engineering jargon, with honest session reports and clear verdicts.

    1.3K
  3. #3 · adnanakil/nobuzz

    nobuzz

    NoBuzz is a Claude Code skill that adds a /debuzz command: it takes Claude's last response and pipes it through Gemini via Google's Antigravity CLI (agy) to turn clickbait speak into regular English.

    275
  1. 4

    iso-24495

    204GaZmagik/iso-24495 · TypeScript

    A set of seven Agent Skills (plus an output style) that teach AI coding agents to write in plain language, following principles inspired by the ISO 24495 Plain Language standard series. They cover core writing rules, legal writing, technical writing, organisational gap analysis, document design, plain-language code, and a text-audit tool.

  2. 5

    iso-24495-skill

    156danyuchn/iso-24495-skill

    A Claude Code skill that rewrites your text into plain language following ISO 24495-1:2023 — the standard that defines plain language by reader outcome: readers can find what they need, understand it on first reading, and use it. It works on English and Traditional Chinese.

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