Skills.lc — AI 技能、Prompt、工作流和 Agent 分享平台，帮助发现和沉淀 AI 使用经验

drzivil · HN

Drag boxes around and watch a layout engine infer the Flexbox (no AI)

u/ZAQROAI · Reddit

Describe your biggest productivity problem in ONE sentence. No long stories. No paragraphs. Just one sentence. I'm building an AI habit tracker, and I want to understand what people actually struggle with—not what I assume they struggle with. I'll read every reply, and if enough people mention the same problem, I'll build a solution for it. Let's see what the biggest challenge really is. 👇 submitted by /u/ZAQROAI to r/buildinpublic [link]

u/safi1409 · Reddit

I built a learning path builder tool powered by AI — maps your knowledge gaps and builds a focused learning path Hey everyone, sharing a side project I've been working on. The problem: When you're self-learning a technical field, you don't know what you don't know. Most people either follow a generic roadmap or keep consuming content without a clear picture of their actual gaps. I personally have completed multiple courses which reiterate the same thing because I was not sure if I had act

@SundayEzek4130 · X

Still struggling with long lecture notes? Turn any difficult course into simple, easy-to-read notes in seconds. 🚀 Try it now: Check out what I just built with Lovable!

@getazrivo · X

Building - an AI assistant that doesn't just chat, it ships. Plan Mode maps out multi-step builds and produces real artifacts: live web pages, documents, spreadsheets, slide decks. It can also assemble a curated team of specialists to debate decisions.

@electricdrago10 · X

LearnFlux — AI 驱动的智能学习助手，为你生成个性化学习材料，让你以更少时间掌握更多知识。

chenglong-hn · HN

Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple

@PAIMultiverse · X

@danenja · X

Unrot the brain. Build a robot.

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