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Found 1,645 Skills
Prepare organized packages of project files for sharing at different levels - from summary PDFs to fully reproducible archives. Creates copies with cleaned notebooks, documentation, and appropriate file selection. After creating sharing package, all work continues in the main project directory.
Best practices for organizing project folders, file naming conventions, and directory structure standards for research and development projects
This skill should be used when the user asks "what is ORDFS", "how to use ordfs.network", "ordfs API", "access on-chain content", "inscription gateway", "ordfs query parameters", "ordfs sequence", "ordfs directory", "ordfs preview", "recursive inscriptions", "ord-fs/json", or needs to reference, access, or serve on-chain content through ORDFS.
The foundational library for creating static, animated, and interactive visualizations in Python. Highly customizable and the industry standard for publication-quality figures. Use for 2D plotting, scientific data visualization, heatmaps, contours, vector fields, multi-panel figures, LaTeX-formatted plots, custom visualization tools, and plotting from NumPy arrays or Pandas DataFrames.
A Just-In-Time (JIT) compiler for Python that translates a subset of Python and NumPy code into fast machine code. Developed by Anaconda, Inc. Highly effective for accelerating loops, custom mathematical functions, and complex numerical algorithms. Use for @njit, @vectorize, prange, cuda.jit, numba.typed, JIT compilation, parallel loops, GPU acceleration with CUDA, Monte Carlo simulations, numerical algorithms, and high-performance Python computing.
综合页搜索完成后，从本地 sqlite capture_results 聚类/阈值筛选盗版分组；并通过 feishu-bitable-task-manager 创建子任务、通过 group-webhook-dispatch upsert webhook 计划。用于 wechat-search-collector 综合页搜索后置流程（detect.json 产出/读取、子任务创建、webhook 计划写入）。
Configura proyectos con scripts de check y detecta CLIs. Usa cuando el usuario diga "configurar proyecto", "setup", "inicializar proyecto", "agregar npm run check", "qué CLIs tengo", o empiece a trabajar en un proyecto nuevo.
Build serverless applications on Cloudflare Workers. Covers runtime APIs, handlers (fetch, scheduled, queue, email), bindings (KV, R2, D1, Durable Objects, Queues, AI, Vectorize), wrangler.toml configuration, local development with Miniflare, static assets, compatibility flags, testing with Vitest. Keywords: Cloudflare Workers, serverless, edge computing, Wrangler, fetch handler, scheduled handler, bindings, KV, R2, D1, Durable Objects, Workers AI, Miniflare, wrangler.toml, compatibility_date.
Complete knowledge domain for Cloudflare Browser Rendering - Headless Chrome automation with Puppeteer and Playwright on Cloudflare Workers for screenshots, PDFs, web scraping, and browser automation workflows. Use when: taking screenshots, generating PDFs from HTML or URLs, web scraping content, crawling websites, browser automation tasks, testing web applications, managing browser sessions, performing batch browser operations, integrating with AI for content extraction, or encountering browser rendering errors, XPath selector errors, browser timeout issues, concurrency limits, memory exceeded errors, or "Cannot read properties of undefined (reading 'fetch')" errors. Keywords: browser rendering cloudflare, @cloudflare/puppeteer, @cloudflare/playwright, puppeteer workers, playwright workers, screenshot cloudflare, pdf generation workers, web scraping cloudflare, headless chrome workers, browser automation, puppeteer.launch, playwright.chromium.launch, browser binding, session management, puppeteer.sessions, puppeteer.connect, browser.close, browser.disconnect, XPath not supported, browser timeout, concurrency limit, keep_alive, page.screenshot, page.pdf, page.goto, page.evaluate, incognito context, session reuse, batch scraping, crawling websites
Composable transformations of Python+NumPy programs. Differentiate, vectorize, JIT-compile to GPU/TPU. Built for high-performance machine learning research and complex scientific simulations. Use for automatic differentiation, GPU/TPU acceleration, higher-order derivatives, physics-informed machine learning, differentiable simulations, and automatic vectorization.
Internal vs external career growth paths, goal setting, career maintenance, and long-term planning for software engineers. Use when deciding between internal promotion vs external job search, setting career goals, or planning long-term career trajectory.
Expert C4 Code-level documentation specialist. Analyzes code directories to create comprehensive C4 code-level documentation including function signatures, arguments, dependencies, and code structure. Use when documenting code at the lowest C4 level for individual directories and code modules.