Whetstone – 20 Claude Code skills, each distilled from one real failure
24 agent skills, each distilled from one concrete engineering failure — short, self-contained rule sets an AI coding agent (or a human) can apply without the original context.
What it does
Agent skills honed on real work. Each one is a short, self-contained rule set distilled from one concrete failure — written so an AI coding agent (or a human) can apply the lesson without the original context. Every skill names the sanitized case it was distilled from — a check that passed against a stand-in, a merge that dropped a field, a green test that could never fail. No hypotheticals. No project or company detail survives. The lesson is stripped to its mechanism so it transfers to your codebase, your stack, your next incident. Each ends in a pre-flight checklist that fails loudly when a box is unchecked — a gate on "done," not a suggestion you can wave through. Each links to its…from whetstone.akbarsha.dev
Does the same job
all alternatives →
AI Agent Skills PackJul 2026 · ai-agent-skills-pack.vercel.app · ▲610 evidence-first workflows for AI coding agents
Claude Skill – Interns must review (your agent's design choices)12h ago · github.com · ▲12Contribute to alpbahadur/interns-review-plugin development by creating an account on GitHub.
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com