Agent skill

Natural Writing En

by mizchi in mizchi/skills

English prose norm for writing explanatory text that does not read as machine-generated.

No licenceAuto-check passedWriting & Content

Install Natural Writing En

skills CLI
$ npx skills add mizchi/skills --skill natural-writing-en -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mizchi/skills natural-writing-en --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mizchi/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/natural-writing-en .claude/skills/natural-writing-en && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
natural-writing-en
GitHub stars
360
Token cost
~3.9k tokens
SKILL.md length
2,022 words
Files
2
Skills in repo
69
Repo updated
First seen
Licence
None found

At a glance

English prose norm for writing explanatory text that does not read as machine-generated.

  • Works in 6 steps: Topic test. Every paragraph-opening… → Deletion test. After each paragraph,… → Preamble sweep. Delete every "it's worth… → …
  • Revising English articles
  • SKILL.md covers The axis, Measured thresholds, Signals that do not work and The beat, plus 8 more sections
  • Calls python3

What it does

Natural Writing En is an agent skill from mizchi/skills. English prose norm for writing explanatory text that does not read as machine-generated. One diagnostic axis (does a sentence update the situation or the document?) plus measured thresholds for burstiness, hedging, enumeration and paragraph openings, with corrections to widely-cited signals that false-positive on human technical writing. Use when drafting or revising English articles, docs, READMEs or long-form explanations, especially after an LLM produced the draft. For Japanese use natural-writing-ja; for…

Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).

It sits in Writing & Content, covering Humanizing AI text, Technical documentation and Technical writing. The repository describes itself as: Agent skills by mizchi, distributed via APM.

When your agent uses it

  • Revising English articles
  • Long-form explanations
  • Especially after an LLM produced the draft

Example prompts

  • “/natural-writing-en”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Topic test. Every paragraph-opening sentence and every standalone short
  2. Deletion test. After each paragraph, name one specific thing learned — a
  3. Preamble sweep. Delete every "it's worth noting", "generally speaking",
  4. Beat check. Find runs of three or more sentences of similar length. Break
  5. Authority check. Every claim about what is known needs a name, number,
  6. Run the lint — python3 ../ai-index/scripts/slopscore.py draft.md.

What it can do on your machine

Read from SKILL.md and the folder at commit 62f5808. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • gist.github.com
    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Natural Writing En loads about 3.9k tokens when it runs. Until then it costs about 141 tokens; SKILL.md has 2,022 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~141
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 2,022 words (~3,905 tokens).

“Writing English explanatory prose that reads as written by someone, about something they did.”

— opening of SKILL.md by mizchi
name
natural-writing-en

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in natural-writing-en of mizchi/skills.

  • SKILL.md
  • README.md

Open the folder on GitHubat commit 62f5808

Compare with similar skills

Natural Writing En next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Natural Writing En compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Natural Writing En this skillmizchi/skills360—~3.9kAutomated safety check: PassNone
Beads Documentation Style Guidegastownhall/beads28k—~3.2kAutomated safety check: PassMIT
JavaScript Concept Page Workflowleonardomso/33-js-concepts67k—~3.9kAutomated safety check: PassMIT
Technical Writing Standardcursor/plugins11k10 repos~2.3kAutomated safety check: PassNone
Heym Documentation Articlesheymrun/heym1.1k—~780Automated safety check: PassCustom licence
JavaScript Concept Page Writerleonardomso/33-js-concepts67k—~14kAutomated safety check: PassMIT

Similar skills

  • Sets the house style for the beads user docs: the canonical concept model, required terminology, prose and diagram conventions, and checks before docs work is done.

    28k GitHub stars~3.2k tokensUpdated today
    Writing & ContentAuto-check passed
  • JavaScript Concept Page Workflow

    leonardomso/33-js-concepts

    Orchestrates five skills to produce a complete JavaScript concept documentation page, from resource curation through writing, tests, fact-checking and SEO.

    67k GitHub stars~3.9k tokensUpdated 1 mo ago
    Writing & ContentAuto-check passed
  • Official

    Applies four layers of technical-writing rules to docs, RFCs, readmes, PR descriptions and commit messages so a tired engineer follows them on the first read.

    11k GitHub starsUsed in 10 repos~2.3k tokens
    Writing & ContentAuto-check passed
  • Creates and updates documentation articles for the Heym platform: category choice, manifest entry, markdown file and cross-links from existing pages.

    1.1k GitHub stars~780 tokensUpdated yesterday
    Writing & ContentAuto-check passed
  • JavaScript Concept Page Writer

    leonardomso/33-js-concepts

    Writes or reviews documentation pages for the 33 JavaScript Concepts project, following its structure, a beginner-friendly voice and rules against AI-sounding language.

    67k GitHub stars~14k tokensUpdated 1 mo ago
    Writing & ContentAuto-check passed
  • Chinese Technical Writing

    leter/zh-tech-writing

    Sets writing rules for Chinese technical docs: short plain sentences, consistent typography and a checklist for removing AI-sounding filler.

    352 GitHub stars~656 tokensUpdated 16 days ago
    Writing & ContentAuto-check passed

More from mizchi/skills

All 69 skills in this repo
  • Publish Agent Skill

    mizchi/skills

    Package, publish, verify and update an agent skill through a Claude Code plugin marketplace, APM or the npx skills CLI.

    360 GitHub stars~1.7k tokensUpdated 9 days ago
    Auto-check passed
  • AI Index

    mizchi/skills

    Method and tooling for measuring how AI-generated a piece of prose reads, in Japanese or English.

    360 GitHub stars~3.6k tokensUpdated 9 days ago
    Auto-check passed
  • Cloudflare Deploy

    mizchi/skills

    Deploy applications and infrastructure to Cloudflare with the cf CLI and typed cloudflare.config.ts.

    360 GitHub stars~2.9k tokensUpdated 9 days ago
    Auto-check: notes
  • Review Image

    mizchi/skills

    Review screenshots or other images with OpenRouter vision models via bundled Deno scripts.

    360 GitHub stars~1.3k tokensUpdated 9 days ago
    Auto-check passed
  • Post-generation safety checks for sqlc-gen-moonbit + Cloudflare D1.

    360 GitHub stars~995 tokensUpdated 9 days ago
    Auto-check passed
  • Apm Usage

    mizchi/skills

    Reference for APM (Agent Package Manager) — apm.yml syntax, install / uninstall / update commands, target detection, lockfile workflow.

    360 GitHub stars~1.9k tokensUpdated 9 days ago
    Auto-check passed

Questions about Natural Writing En

What does Natural Writing En do?

English prose norm for writing explanatory text that does not read as machine-generated. Natural Writing En is an agent skill from mizchi/skills. English prose norm for writing explanatory text that does not read as machine-generated.

When should I use Natural Writing En?

Natural Writing En fits situations like: revising English articles; long-form explanations; especially after an LLM produced the draft.

How do I install Natural Writing En in Claude Code?

Run `npx skills add mizchi/skills --skill natural-writing-en -a claude-code`. Or copy the skill folder (natural-writing-en in mizchi/skills) into .claude/skills/natural-writing-en in your project. Claude Code loads it when a task matches its description.

How do I install Natural Writing En in Codex?

Run `npx skills add mizchi/skills --skill natural-writing-en -a codex`. Or copy the skill folder (natural-writing-en in mizchi/skills) into .agents/skills/natural-writing-en in your project. Codex loads it when a task matches its description.

Can I use Natural Writing En in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mizchi/skills --skill natural-writing-en -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/natural-writing-en, .gemini/skills/natural-writing-en, .github/skills/natural-writing-en and .opencode/skills/natural-writing-en in your project.

What does Natural Writing En need to run?

Going by SKILL.md and its folder, Natural Writing En needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Natural Writing En access the network?

SKILL.md names 2 domains. As links in the text: gist.github.com and github.com. This is read from the text; nothing was executed.

Is Natural Writing En safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Natural Writing En use?

No licence was found for Natural Writing En or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Natural Writing En use?

About 3.9k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Natural Writing En?

Skills that share tags, products or a category with Natural Writing En: Beads Documentation Style Guide (gastownhall/beads, 28k stars), JavaScript Concept Page Workflow (leonardomso/33-js-concepts, 67k stars), Technical Writing Standard (cursor/plugins, 11k stars) and Heym Documentation Articles (heymrun/heym, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Natural Writing En?

mizchi (a GitHub user) maintains it in mizchi/skills, which has 360 GitHub stars. The repository holds 69 skills in this directory. The repository was last updated on October 2, 2026.

Source: mizchi/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.