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AminBlg
SimpleEnglish
Python2026–2026
AminBlg / SimpleEnglish

SimpleEnglish

Agent skill: make LLMs write docs in ASD-STE100 Simplified Technical

6Distinct people
6Mentions
0Explicit recommenders
4.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Agent skill: make LLMs write docs in ASD-STE100 Simplified Technical

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

Show HN: STE80 Humanizer – de-AI text by writing 80% of the way to ASD-STE100 direct repository linkDebated

The discussion centers on whether the STE80 Humanizer effectively reduces AI-generated text patterns to improve readability or merely obfuscates machine output without adding genuine human voice. Participants strongly disagree on the value of the tool's implementation, with some praising its utility for clarity while others criticize the 'slop' quality of the skill file and the ethical implications of deceiving readers.

43 readable replies · Supporting reply 1 · Supporting reply 2 · Supporting reply 3 · Supporting reply 4

Mentions over time

HN mentions by week6 dated mentions

Observed mentions: 2026-07-30 19:34:27 UTC to 2026-09-22 16:59:41 UTC. Weeks start Monday, UTC.

0122026-07-27 00:00:00 UTC to 2026-08-03 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJul 272026-08-03 00:00:00 UTC to 2026-08-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-10 00:00:00 UTC to 2026-08-17 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-08-17 00:00:00 UTC to 2026-08-24 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-08-24 00:00:00 UTC to 2026-08-31 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 242026-08-31 00:00:00 UTC to 2026-09-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-07 00:00:00 UTC to 2026-09-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-14 00:00:00 UTC to 2026-09-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-21 00:00:00 UTC to 2026-09-28 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsSep 21

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jul 272026-07-27 00:00:00 UTC2026-08-03 00:00:00 UTC110
Aug 32026-08-03 00:00:00 UTC2026-08-10 00:00:00 UTC000
Aug 102026-08-10 00:00:00 UTC2026-08-17 00:00:00 UTC101
Aug 172026-08-17 00:00:00 UTC2026-08-24 00:00:00 UTC101
Aug 242026-08-24 00:00:00 UTC2026-08-31 00:00:00 UTC101
Aug 312026-08-31 00:00:00 UTC2026-09-07 00:00:00 UTC000
Sep 72026-09-07 00:00:00 UTC2026-09-14 00:00:00 UTC000
Sep 142026-09-14 00:00:00 UTC2026-09-21 00:00:00 UTC000
Sep 212026-09-21 00:00:00 UTC2026-09-28 00:00:00 UTC202

What Hacker News says

6 sources
I created a custom output style based on this (borrowing some from github.com/AminBlg/SimpleEnglish) and I've found it to be better than the default or concise output styles, but still not as good for me as current GPT or Gemini models when it comes to communicating.
In Grok 4.7
This is probably the skill you remembered: https://github.com/AminBlg/SimpleEnglish I have been using it for a few weeks, and it significantly improves the quality of the docstrings and code comments, as well as the readability of spec docs. I have also added a few key bullet points to my AGENTS.md and have found the results to be very effective and generating plans and code that looks like something I would have written: ----------- ## planning, design and spec docs - the highest design goal is simplicity -- in our systems and our mental model -- even if if means edge cases are unaddressed and could potentially fail - please practice "ya ain't gunna need it" (YAGNI) do not add unnecessary guardrails - do not plan to add caching, many layers of unnecessary abstraction or other premature optimizations - look for places
Read the rest
where adding or clarifying an invariant would simplify the code or the overall system please specifically try to avoid: - redundant calculations or duplicated work - duplicated conditionals or state-machine logic - storing state that can be derived from other state, which could drift and become out of sync over time - leaky abstractions across layers of the application - multi-line comments explaining a variable name or a single statement. well chosen names and design should makes these unnecessary, as the code is self-documenting
In My agent.md to improve LLM-assisted code quality
I have also noticed that I am increasingly struggling to read what LLMs are writing, finding it incomprehensible half the time. I stole Matt Pocock's line of "When reporting information to me, be extremely concise and sacrifice grammar for the sake of concision." for the agents.md It makes it a little better. I also specify to use https://github.com/AminBlg/SimpleEnglish/ for all writing it does including code comments. It all feels like a bandaids but that seems to be the best we can do right now.
In GPT-5.6 Sol Pricing Cut by 50% on OpenRouter
I've been having a fantastic time telling it to use ASD-STE100 Simplified Technical English (or use a skill for it, I've been playing with [1]) It's a very clear and understandable way of writing that puts priority on clarity. It gets rid of the flowery language, the dense jaron, and the weird corporate marketing speak they tend to do. It is a bit repetitive, and it sometimes doesn't always wfit well in every situation, but for technical writing or explanations it's been such an incredible breath of fresh air! [1] https://github.com/AminBlg/SimpleEnglish
In Humanising LLM Outputs Is Dumb

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