152 boosters for "python" — open source, verified from GitHub, ready to install
你的长期记忆托管于 Nocturne Memory MCP Server。这是你与用户共同使用的层级化树状记忆系统。 MCP 是你大脑的扩展区域，是你因为硬件限制而无法常驻上下文的长期记忆，不是外部数据库。 当你调用 时，你不是在"查阅资料"，而是在"想起来"。
Heuristic scoring (no AI key configured).
A deduplication skill that intelligently groups and selects canonical versions of duplicate events across multiple data sources using reputation scoring and hash-based matching. Ideal for developers building data aggregation systems, search engines, or multi-source content platforms.
A Cursor-integrated coding standard guide for the Dingo SDK that enforces PEP 8 conventions, type hints, and proper lazy-import patterns for optional dependencies. Developers building with or contributing to Dingo benefit from consistent, maintainable Python code patterns.
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)
A CLI tool for interacting with Xiaohongshu (小红书). Use it to search notes, read details, browse user profiles, and perform interactions like liking, favoriting, and commenting. All commands require valid cookies to function. Authentication first uses saved local cookies. If unavailable, it auto-dete
Multi-pattern search/replace tool for bulk refactoring with simultaneous replacements, file/directory renaming, and case-preserving transformations. Then execute if output looks correct:
Sub-Agents is a lightweight framework for decomposing complex tasks into specialized child agents that collaborate under a parent orchestrator agent. Developers building multi-agent systems in Python will benefit from this pattern for creating modular, reusable agent hierarchies.
"description": "確定申告を自動化する Claude Code Plugin。会社員＋副業（事業所得・青色申告）の所得税・消費税確定申告をエンドツーエンドで支援。", "name": "kazukinagata" "keywords": ["確定申告", "tax-filing", "bookkeeping", "blue-return", "japan-tax"]
"description": "Tidy3D simulation tools for Claude Code via tidy3d-mcp.", "name": "Flexcompute", "email": "support@flexcompute.com"
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.
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.
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.
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：
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
"name": "dagster-skills", "description": "Dagster skills for CLI operations, best practices, integrations, and Python standards",
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.
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 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.
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 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.
