106 boosters for "python" — AI-graded, open source, ready to install
AGENTS.md Version 2 enables AI agents to autonomously interact with websites using browser automation, allowing developers to automate complex web tasks programmatically. It's ideal for developers building AI-powered automation tools and agents that need reliable web interaction capabilities.
A system prompt that enables AI agents to automate browser tasks, navigate websites, and extract information by operating in an iterative loop. Developers and AI automation engineers use this to enhance AI capabilities for web automation across multiple platforms.
Heuristic scoring (no AI key configured).
A Windsurf rules booster that enforces development standards for the libtmux Python project, including code style, testing practices, and documentation conventions using modern tools like uv, ruff, and pytest.
This MCP booster enables AI assistants like Cursor and Windsurf to control Unreal Engine 5.5.4 through natural language commands, providing developers with guidelines for Python tool implementation and UE-specific best practices including coordinate systems and units.
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.
mq is a jq-like CLI tool for querying and transforming Markdown files, with development guidelines covering Rust conventions, project structure, and multi-platform integrations (LSP, DAP, WASM, Python). Developers building Markdown processing pipelines or contributing to the mq project benefit from these structured instructions.
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.
A Python SDK for building production-ready agentic AI applications with Claude, featuring agents, handoffs, and guardrails for complex multi-agent workflows. Developers building AI agents and multi-tool systems will benefit from this lightweight, easy-to-learn framework.
A Windsurf-specific rule set that enforces Haiven team's backend (Python) and frontend (React/Next.js) development standards, including architecture patterns, testing practices, and code style conventions. Developers working on this codebase benefit from clear, actionable guidelines integrated directly into their IDE.
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.
A development guidelines prompt for Python projects using Windsurf, establishing coding standards for event-driven systems with clear conventions for testing, type hints, and tooling. Useful for teams standardizing their Windsurf workflows and maintaining consistent code practices across event-sourcing architectures.
Search arXiv and ACL Anthology, retrieve citations and references, and browse web sources to accel…
Session End guides developers through a structured workflow to complete coding sessions with quality checks, changelog updates, and learning documentation. It's ideal for developers using Claude Code who want to maintain organized, documented development practices.
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A comprehensive Cursor rules file that provides development workflow guidance, Windows command references, and AGI-assisted coding practices for Python/full-stack teams. Beneficial for developers using Cursor IDE who need standardized development procedures and environment setup instructions.
Brute Force Plotter is a Python tool that automatically generates multiple visualization types from CSV data with minimal configuration, ideal for data analysts and developers who want quick exploratory data analysis without manual plot design.
FHIRy is a Python package that converts FHIR healthcare data into pandas DataFrames, enabling data scientists and healthcare developers to perform analytics, machine learning, and AI on standardized health records. It's ideal for researchers and engineers working with health data who need quick, programmatic access to structured clinical datasets.
Enables efficient searching of Zotero libraries through Python code execution, avoiding context crashes while providing multi-strategy search with automatic deduplication. Ideal for researchers and developers who need comprehensive, safe access to large reference collections.
A Windsurf prompt that guides Python code writing for QuantConnect's Lean options framework by eliminating unnecessary hasattr() checks. Useful for traders and algorithmic developers implementing option strategies.
Meta-rules for managing instruction and rule files across GitHub Copilot and Cursor, establishing a dual-system architecture with shared source files and symlinks. Developers managing AI instruction systems across multiple platforms benefit from standardized file organization and maintenance guidelines.
Matchms is a Python library for mass spectrometry data processing, enabling researchers to load spectral data from multiple formats, standardize metadata, calculate spectral similarities, and identify compounds for metabolomics workflows.
