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Found 1,745 Skills
Create and manage Infrahub transforms. Use when building data transformations, config generation, or any workflow that converts Infrahub data into a different format (JSON, text, CSV, device configs) using Python or Jinja2 templates.
This skill should be used when Claude Code needs to perform basic arithmetic calculations. It provides a Python script that safely evaluates mathematical expressions including addition, subtraction, multiplication, division, exponentiation, and square roots.
通过 Python（alibabacloud_sls20201230）调用阿里云 SLS：ListProject（列出 Project）、ListLogStores（列出日志库）、GetLogsV2（查询日志）。 适用于「列出 Project」「列出 LogStore」「查询 SLS 日志」「搜索与分析日志」等场景。 API 契约见 reference/*.yml；可运行示例见 scripts/；依赖见 scripts/requirements.txt。
Guide pour la création de serveurs MCP (Model Context Protocol) de qualité permettant aux LLM d'interagir avec des services externes via des outils bien conçus. À utiliser pour construire des serveurs MCP intégrant des API ou services externes, en Python (FastMCP) ou Node/TypeScript (MCP SDK).
Comprehensive software development planning and implementation skill. Triggers when: Creating new Python software with CLI/GUI/Web interfaces, planning software architecture and modules, designing scientific or engineering applications, setting up bilingual documentation and PyPI publishing, or needing academic research-based feature design. Capabilities: Pre-development planning and research, multi-interface design (CLI + PySide6 GUI + Flask Web), scientific visualization with pyqtgraph, academic literature-based feature design, sample data and test documentation generation, bilingual README with structured sections, GPLv3 licensing and PyPI publishing setup.
Install, configure, and operate Scrapling for adaptive web scraping with parser-first HTML extraction, fast HTTP fetchers, browser rendering, stealth anti-bot options, CLI extraction, and optional MCP or spider workflows. Use when you need to scrape or crawl websites, choose between static, JavaScript-rendered, or protected targets, parse HTML with CSS or XPath, write Python scrapers, or run Scrapling from the terminal. Triggers on: scrapling, scrape website, crawl site, adaptive scraping, stealthy fetch, cloudflare scraping, mcp scraping server, browser scraping cli, scrapling spider.
A step-by-step practice tool for LeetCode medium-difficulty interview questions. It is triggered when users want to practice algorithm problems, brush up on LeetCode, prepare for technical interviews, or say "Give me a problem", "Next problem", "Generate scaffold", "Start practicing". It supports categorized practice by problem type (DP, Linked List, Tree, Graph, Sliding Window, Two Pointers, Hash Table, Binary Search, Stack, Heap, Backtracking, Interval, String, Union Find), generates Python scaffolds with test cases for each problem, tracks learning progress via Markdown tables, and guides users to think independently before providing solutions. It supports the goal of 3 problems per day, counts progress via `git diff README.md` and submits to Git.
Validates and scores Claude Code skill packages for quality, completeness, and best practices compliance. Tests Python scripts, checks YAML frontmatter, and generates quality reports. Use when creating new skills, validating skill packages, or auditing skill quality.
Use this skill whenever the user wants to work with survey data using the `survy` Python library. Triggers include: loading or reading survey CSV/Excel/JSON/SPSS files, handling multiselect (multi-choice) questions, computing frequency tables or crosstabs, exporting survey data to SPSS (.sav) or other formats, updating variable labels or value indices, transforming survey data between wide/compact formats, filtering respondents, replacing values, adding/dropping/sorting variables, or any task involving survy's API (read_csv, read_excel, read_json, read_polars, read_spss, crosstab, survey["Q1"], to_spss, to_csv, to_excel, to_json, etc.). Also trigger when the user says things like "analyze my survey", "process questionnaire data", "build a survey analysis script", or "help me with survy". Always read this skill before writing any survy code — it contains the correct API, patterns, and gotchas.
This skill should be used when the user asks to "use marimo", "create a marimo notebook", "debug a marimo notebook", "inspect cells", "understand reactive execution", "fix marimo errors", "convert from jupyter to marimo", or works with marimo reactive Python notebooks.
LLDB debugger skill for C/C++/Swift/Objective-C programs. Use when debugging with LLDB on macOS, FreeBSD, or Linux-clang environments, mapping GDB mental models to LLDB commands, using LLDB in Xcode or VS Code, or debugging Swift/Objective-C. Activates on queries about LLDB commands, GDB to LLDB migration, Apple platform debugging, LLDB Python scripting, or IDE-integrated debugging with clang-built binaries.
Async Python bot for Polymarket that buys "No" on all standalone non-sports yes/no markets using the "nothing ever happens" strategy.