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GitHub
AI skill that removes signs of slop ai writing from code
Claude Code skill that removes signs of AI-generated writing from code - hellozheat/no-more-slop
Debugging AI code is the part that is a pain. It compiles. Then you open the file and it’s processUserDataList, a docstring on a four-line helper, and comments that just repeat the next line.
So I put something small on GitHub: No More Slop. i got the inspiration from blader/humanizer for writing. Same idea, but for code.
It won’t fix everything. but It does catch the obvious stuff like comment noise, generic names, copy-paste motion boilerplate and you can ask to rewrite to make it closer to how the rest of your repo actually reads.
/nomoreslop on a diff or file
About GitHub on Product Hunt
“AI skill that removes signs of slop ai writing from code”
GitHub was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #123 on the daily leaderboard. Claude Code skill that removes signs of AI-generated writing from code - hellozheat/no-more-slop
On the analytics side, GitHub competes within GitHub and Vibe coding — topics that collectively have 41.9k followers on Product Hunt. The dashboard above tracks how GitHub performed against the three products that launched closest to it on the same day.
Who hunted GitHub?
GitHub was hunted by radjiv fender. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of GitHub including community comment highlights and product details, visit the product overview.