Claude Skill for ASD-STE100 – Simplified English

Hacker News

Recently I watched a video about ASD-STE100 - a controlled language from the aerospace industry. It was made in 1986 to remove ambiguity from maintenance manuals. Short sentences. One meaning per word ... etc. Thought it could be useful in the tech industry so I "built" - (kind of an exaggeration here :d) an AI skill that applies these rules automatically. Tested it out on a few tech documents and READMEs and it seems to make them quite a bit more clear. Check it out here. Also I left some examples so you can see what it's like without testing it.

Visit product View on Hacker NewsJul 30, 2026

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Product HuntUnlikely to reach the leaderboard · Strong signals: claude · Missing: mac, agents, macos

49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

27%27% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

22%22% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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