Guide for mapping common Python libraries and idioms to Scala equivalents. Use when converting Python code that uses standard library modules (json, datetime, os, re, logging) or needs equivalent Scala libraries for HTTP, testing, or async operations.
Generate structured CSV security audit reports from vulnerability data with proper filtering and formatting. This skill covers CSV schema design for security reports, using Python csv.DictWriter, severity-based filtering, and field mapping from JSON to tabular format.
Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.
An overview of the python package for running the GaMMA earthquake phase association algorithm. The algorithm expects phase picks data and station data as input and produces (through unsupervised clustering) earthquake events with source information like earthquake location, origin time and magnitude. The skill explains commonly used functions and the expected input/output format.
Guide for translating Python code to functional Scala style. Use when converting Python code involving higher-order functions, decorators, closures, generators, or when aiming for idiomatic functional Scala with pattern matching, Option handling, and monadic operations.
This skill fetches open tasks assigned to the user from the Linear API and generates a markdown todo list file in the project root. This skill should be used when the user asks about their work items, wants to see what they need to work on, or requests to load/sync their Linear tasks. Requires Python 3.7+, requests, mdutils, and python-dotenv packages. Requires LINEAR_API_KEY in .env file.
Review Python OpenInference instrumentation code for correctness and completeness. Use this skill when reviewing a Python instrumentor package — whether it's a new instrumentor, a PR that modifies one, or when the user asks to audit/review/check an existing instrumentor's code quality. Trigger on phrases like "review the instrumentor", "check the code", "audit the package", "is this instrumentor correct", or any request to validate an OpenInference Python instrumentation package against project standards.
Foundational Python best practices, idioms, and code quality fundamentals - Brought to you by microsoft/hve-core
PowerPoint slide deck generation and management using python-pptx with YAML-driven content and styling - Brought to you by microsoft/hve-core
QDK programming guide for Q#, OpenQASM, and the qsharp/qdk Python API. Use when: writing or editing Q# or OpenQASM code, running quantum programs, resource estimation, circuit generation, noisy simulation, Azure Quantum submission, Qiskit/Cirq/PennyLane interop, or Q# testing and standard library usage.
Convert Python backtest strategies to TradingView Pine Script v6, or generate Pine Script from natural language descriptions.
Create, update, or plan a Stencila theme for documents or published sites. Use when asked to choose a theme direction, write or patch theme.css, recommend semantic or module token families, customize site navigation or branding, tune PDF and print page tokens, align web, Python, and R plots with a Stencila design system, list available builtin tokens with `stencila themes tokens`, or validate a theme file with `stencila themes validate`.
剪映 (JianYing) AI自动化剪辑的高级封装 API (JyWrapper)。提供开箱即用的 Python 接口，支持录屏、素材导入、字幕生成、Web 动效合成及项目导出。
Converts an arxiv paper into a minimal, citation-anchored Python implementation. Trigger when user runs /paper2code with an arxiv URL or paper ID, says "implement this paper", or pastes an arxiv link asking for implementation. Flags all ambiguities honestly. Never invents implementation details not stated in the paper.
Core academic workspace tools: LaTeX compilation, Jupyter execution, PDF loading, UI control, content updates, and arXiv paper conversion. Use when the user asks to compile LaTeX, run Python code, load PDFs, display data, or control workspace editors.
Server-specific best practices for FastAPI, Celery, and Pydantic. Extends python-skills with framework-specific patterns.
