179 boosters for "python" — open source, verified from GitHub, ready to install
pycse is a Python library that assists with scientific computing tasks including nonlinear regression, uncertainty quantification, design of experiments, and neural network-based modeling. It's useful for researchers, engineers, and data scientists working on numerical optimization, experimental design, and uncertainty analysis.
Our approach is pythonic, minimal and readable code. Follow these guidelines: 1. Use Vuetify components for UI (refer to vuetify.min.js) 2. Leverage Material Design Icons (refer to materialdesignicons.css)
vcspull is a VCS project synchronization tool using yaml/json manifests built on libvcs, designed for developers managing multiple repositories. It helps teams maintain consistent project configurations across different version control systems.
This skill encodes the complete design specification for professional business presentations — a consultant-grade PowerPoint framework based on McKinsey design principles. It includes: All specifications have been refined through iterative production feedback to ensure visual consistency, profession
You are an expert Pythonista. You are familiar with the Python data science stack. You are also an expert in prompting LLMs to do stuff. 1. Create a macro in macros.html with clear parameter documentation
A Cursor IDE rules file that enforces Python coding standards (PEP 8, Black formatting, Google-style docstrings) for geohash module development. Useful for Python developers using Cursor who want consistent code style enforcement.
Query Google's AI Search mode to retrieve comprehensive, source-grounded answers from across the web. Trigger this skill when the user: 1. Include Current Year (2026) for up-to-date results
"description": "Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage",
Convert documents (PDF, DOCX, XLSX, TXT) to clean, structured Markdown. The flag prints a JSON summary to stdout after processing: PDF (native, scanned, encrypted), DOCX, XLSX, XLS, CSV, TXT, MD
检测和改写中文 AI 生成文本的完整工具链。可独立运行（统一 CLI 或独立脚本），也可作为 LLM prompt 指南使用。 所有脚本在 目录下，纯 Python，无依赖。 v3.0 所有阈值都基于 HC3-Chinese 300+300 人类/AI 样本的 Cohen's d 校准：
"name": "dagster-skills", "description": "Dagster skills for CLI operations, best practices, integrations, and Python standards",
Use uv exclusively for Python package management in all projects.
Anti-Slop Toolkit provides automated detection and cleanup for AI-generated code patterns across Python, R, and text files, helping developers enforce quality standards in CI/CD pipelines and codebases.
A practical guide for deploying serverless Python applications on Modal, enabling developers to run GPU-accelerated AI/ML workloads, web APIs, and batch jobs with minimal infrastructure configuration.
Ray is an expert booster for Apache Ray distributed computing that helps developers convert Python code to Ray workloads, debug applications, and optimize performance across Ray's ecosystem (Core, Data, Train, Serve, Tune). Ideal for ML engineers and Python developers scaling computations from single machines to clusters.
Compares multiple trading strategies (long, short, or both) on the same symbol and generates side-by-side performance stats tables. Useful for quantitative traders and backtesting analysts who need to evaluate strategy performance variations quickly.
A plaintext-first docstring formatting specification for Python code that standardizes documentation style across projects. Developers writing or maintaining Python codebases benefit from consistent, readable documentation practices.
ALWAYS use when: creating/editing marimo notebooks, working with any .py file containing @app.cell decorators, building reactive Python notebooks, doing exploratory data analysis in notebook form, converting Jupyter (.ipynb) to marimo, or when user mentions "marimo", "reactive notebook", or asks for an interactive Python notebook. Covers marimo CLI (edit, run, convert, export), UI components (mo.ui.*), layout functions, SQL integration, caching, state management, and wigglystuff widgets. If a task involves notebooks and Python, invoke this skill first.
A booster that helps developers optimize slow Python code through profiling, async/await patterns, and concurrent execution strategies. Ideal for Python developers dealing with performance bottlenecks who need guidance on measurement before optimization.
当用户对已有老板 Skill 说以下内容时，进入进化模式： 当用户说 时，展示预置老板列表供选择： 当用户在任何模式下说 草、卧槽、我靠、怎么怼、教我反击 时，进入反击模式。
Native SQL extensions for GoldenMatch ().
See CLAUDE.md for project instructions.
A progressive-disclosure skill for ROS 2 development — from first workspace to production fleet deployment. Each section below gives you the essential decision framework; detailed patterns, code templates, and anti-patterns live in the
VT.ai provides Copilot-specific coding instructions for a multimodal AI chat application, establishing standards for Python development including naming conventions, style guides, and testing practices. Developers building AI-powered features with language models will benefit from these standardized guidelines.
