TechSkills
Open-source skill modules that make AI agents expert-level
What it does
AI coding agents are smart generalists but lack the deep procedural knowledge senior engineers carry. TechSkills bridges that gap — an open-source library of loadable SKILL.md files that give any AI agent structured workflows, design checklists, and production-ready patterns. Skills use progressive loading — no context window waste. Agent-agnostic, framework-neutral, eval-driven. Currently: frontend-engineer & backend-engineer skills. Early stage, community-driven. More skills coming.
Open-source skill modules that make AI agents expert-level - debabratasaha-dev/techskills
A curated, open-source library of skills for AI coding agents. AI agents are powerful generalists, but they often lack the deep procedural knowledge, opinionated best practices, and domain-specific patterns that experienced software engineers carry. TechSkills-Lib bridges that gap — it provides ready-to-use skill modules covering frontend engineering, backend development, system design, and more, so any AI agent can deliver expert-level output across the full software development stack. Agent-agnostic, framework-neutral, and community-driven. Skills are simply SKILL.md files (with optional supporting references and assets) that give an AI agent context, knowledge, and step-by-step workflows…from github.com
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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…
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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.
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