Social Scraper

Reference tool for devtools — covers intro, quickstart, patterns and more. Quick lookup for Social Scraper concepts, best practices, and implementation patte...

Beginner-Friendly Projects

Beginner-Friendly Projects - Miscellaneous

Halving

Use when checking next Bitcoin halving countdown, reviewing historical halving price impacts, analyzing mining economics, or studying BTC 4-year market cycles.

Libpython-clj

Interop with Python

edgeuse

🌐 Edge/Chrome CDP Connector — 一键唤醒你的浏览器！跨平台支持 Linux/Windows/macOS，Edge 和 Chrome 自动切换。所有网页相关任务必须使用本技能。

air

Air - Live reload for Go apps.

requirement-review-simulator

PRD review stress-test simulator: 5 cross-functional roles challenge your requirements across 3 difficulty levels, outputs a scored HTML survival report with...

What is Data Science @ O'reilly

_Data scientists combine entrepreneurship with patience, the willingness to build data products incrementally, the ability to explore, and the ability to iterate over a solution. They are inherently interdisciplinary. They can tackle all aspects of a problem, from initial data collection and data conditioning to drawing conclusions. They can think outside the box to come up with new ways to view the problem, or to work with very broadly defined problems: “here’s a lot of data, what can you make from it?”_

Prisma Sase Claw

How to interact with the Palo Alto Networks Prisma SASE API, including Prisma Access, Prisma SD-WAN, and Prisma Access Browser. Use this skill whenever the u...

trading-skill-bysufi

AI trading agent skill for Claude. Analyzes stocks, news, sentiment, fundamentals & technicals. 18 modules: deep stock analysis, market pulse, portfolio audit, position sizing, trade setups & more. Indian market support included (NSE/BSE).

Gymlog

Reference tool for devtools — covers intro, quickstart, patterns and more. Quick lookup for Gymlog concepts, best practices, and implementation patterns.

The sexiest job of 21st century

_Data scientists today are akin to Wall Street “quants” of the 1980s and 1990s. In those days people with backgrounds in physics and math streamed to investment banks and hedge funds, where they could devise entirely new algorithms and data strategies. Then a variety of universities developed master’s programs in financial engineering, which churned out a second generation of talent that was more accessible to mainstream firms. The pattern was repeated later in the 1990s with search engineers, whose rarefied skills soon came to be taught in computer science programs._

Cnc

CNC machining program manager

fixenv

Fixture manage engine, inspired by pytest fixtures.

Deepfocus

Run Pomodoro sessions with break timers and productivity tracking. Use when starting focus sessions, tracking streaks, reviewing productivity.

leapcat-skills

AI agent skills for Leapcat — stock trading, IPO, wallet, KYC, and market data