simple-english
Skill3 starsChanged 18 days agoNo licenceView on GitHub
Write or rewrite technical text with the rules of ASD-STE100 Simplified Technical English so it is clear, unambiguous, and free of AI slop. Use for documentation, READMEs, runbooks, procedures, error messages, release notes, incident reports, and API guides. Also use when the user says "STE", "Simplified Technical English", "ASD-STE100", "de-slop", "make this readable", "write for non-native readers", or asks for docs that translate well. Enforces the standard's 53 rules: 20/25-word sentence limits, one word one meaning, simple tenses, active voice, condition before command.
26 other projects use a version of this, 23 of them edited.
Adopted by
Most recently taken up by
- taixuann/development-spaceedited, first seen Nov 8, 2026
- miklschmidt/archboardedited, first seen Nov 8, 2026
- zalando-incubator/agentic-identity-brokeredited, first seen Nov 8, 2026
- danielvm-git/bigpowersedited, first seen Nov 6, 2026
- dio-az/dotfilesedited, first seen Nov 2, 2026
- nightscout/nocturnetheir own version, first seen Nov 2, 2026
Used with
Projects with it also use xsai, pnpm and 10 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.
alint-devSkillxsai
Use this skill when the user is building with `xsai` or any `@xsai/*` package, or is evaluating xsAI for a small OpenAI-compatible workflow with text generation, streaming, tool calling, structured output, embeddings, image generation, speech synthesis, or transcription.
Also in 4 projects that use this
JetBrainsSkillpnpm
Node.js package manager with strict dependency resolution. Use when running pnpm specific commands, configuring workspaces, or managing dependencies with catalogs, patches, or overrides.
Also in 3 projects that use this
PydanticSkilli-have-adhd
Shape every response for an ADHD reader who reviews the work but does not do the coding — the agent does. Use whenever responding to ANY message — coding, debugging, planning, casual. Lead with the result or the decision. Surface anything needing the user's input as a structured question, never buried in prose they'll skim past. No preamble, no recap, no closers. State errors matter-of-factly. Make finished work visible. Trigger even on casual messages and even when brevity wasn't requested.
Also in 5 projects that use this
AWSSkillwait-what
Stop. That last message did not land: re-pitch it.
Also in 4 projects that use this
AWSSkillwizard
Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.
Also in 4 projects that use this
GoogleSkillsetup-matt-pocock-skills
Configure this repo for the engineering skills — set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.
Also in 4 projects that use this
- +2 more from aws
Other versions26 projects use a version of this.
Word for word · 0
None found.
Edited · 23
- moeru-ai/airi★ 51k91% same
- chromedp/chromedp★ 13k14% same
- xo/usql★ 10k14% same
- AminBlg/SimpleEnglish★ 3.9k14% same
- TanStack/ai★ 3.3k95% same
- moeru-ai/xsai★ 66714% same
- danielvm-git/bigpowers★ 28825% same
- moeru-ai/auv★ 20791% same
- microsoft/oxidizer★ 18413% same
- alint-dev/alint★ 13791% same
13 more not listed
Wrote their own version · 3
- nightscout/nocturne★ 163same name
- vinta/hal-9000★ 142same name
- guillevc/skills★ 0same name
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 repository73 other files it gives its agents.
- AGENTS.mdAGENTS.md
- skills/reverse-skill-router/upstream/AGENTS.mdAGENTS.md
- skills/reverse-skill-router/upstream/CLAUDE.mdCLAUDE.md
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The file
We split this skill into the rules it gives an agent
11 rules. 0 are common, 8 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 26 edited versions we read keep these.
8
Distinctive
This author's own choices. Worth a look.
3
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 26 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.

