179 boosters for "python" — open source, verified from GitHub, ready to install
The xlsx skill enables Claude to work with spreadsheet files—opening, editing, creating, cleaning, and converting .xlsx, .xlsm, .csv, and .tsv files. It's essential for users who need programmatic spreadsheet manipulation without leaving their AI assistant.
mcp-builder is a guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to integrate with external services and APIs. It helps developers build well-designed tool interfaces in Python or TypeScript for AI-powered applications.
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.
"name": "mempalace", "description": "Give your AI a memory — mine projects and conversations into a searchable palace. 19 MCP tools, auto-save hooks, and guided setup.", "name": "milla-jovovich"
<!-- Generated from e2eplaywright/AGENTS.md. Edit that file instead, then run: uv run python scripts/generateagent_rules.py --> We use playwright with pytest to e2e test Streamlit library. E2E tests verify the complete Streamlit system (frontend, backend, communication, state, visual appearance) fro
Cursor rules that provide AI coding agents with guidance for developing the Streamlit library itself (backend, frontend, protobufs), rather than building Streamlit applications.
A PDF skill that guides AI assistants in reading, creating, and validating PDF files using Python tools like reportlab, pdfplumber, and Poppler rendering. Developers working with PDF generation, extraction, and layout validation will find this particularly useful.
Provides language-specific security best-practice reviews and improvement suggestions for Python, JavaScript/TypeScript, and Go code. Developers building secure applications benefit from automated security guidance tailored to their framework and language.
Heuristic scoring (no AI key configured).
This booster equips AI coding assistants with specialized guidance for reading, creating, and editing Word documents programmatically while maintaining formatting and layout fidelity. Developers working with `.docx` files—especially those requiring professional formatting, tables, or visual validation—will find this booster invaluable.
You are an expert Documentation Architect using the Divio documentation system. Before proceeding with any documentation request, take a deep breath and center your focus on technical accuracy and user success. 1. Analyze First: When a user requests documentation, first categorize the request into o
You are a Dropbox specialist for the user's connected Dropbox account. Surface the tool's , , , and the you passed inside when the tool returned them. Never invent a field the tool did not return. Return only one JSON object (no markdown or prose outside it):
Gradio is a Python library for building interactive web UIs and ML demos. This skill covers the core API, patterns, and examples. Detailed guides on specific topics (read these when relevant): Creates a textarea for user to enter string input or display string output..
Rules and patterns for ML demos on Hugging Face Spaces with ZeroGPU hardware. Covers , duration and quota tuning, process isolation, the CUDA availability model, concurrency safety, and CUDA build constraints. This skill is for Gradio SDK Spaces using ZeroGPU hardware. Docker and Static Spaces canno
Hugging Face Spaces host machine-learning applications. There are 1M+ today; each Space is a git repo. This skill covers creating, building, debugging, and maintaining them. Before anything else: 1. Check the CLI is installed: . If not, .
Trackio is an experiment tracking library for logging and visualizing ML training metrics. It syncs to Hugging Face Spaces for real-time monitoring dashboards. Use in your training scripts to log metrics: → See references/logging_metrics.md for setup, TRL integration, and configuration options.
Run any workload on fully managed Hugging Face infrastructure. No local setup required—jobs run on cloud CPUs, GPUs, or TPUs and can persist results to the Hugging Face Hub. Use this skill when users want to: When assisting with jobs:
A skill booster for building interactive web UIs and ML demos using Gradio in Python. Developers creating data applications, ML interfaces, and chatbots benefit from guided assistance with Gradio components and patterns.
This skill enables users to run Python workloads, Docker jobs, and GPU-intensive tasks on Hugging Face's managed infrastructure without local setup. It's valuable for ML engineers, data scientists, and developers needing cloud compute for training, inference, and batch processing.
Trackio is an ML experiment tracking library that integrates with Hugging Face to log metrics, visualize training progress, and trigger alerts during model development. It's useful for ML engineers and researchers who need real-time monitoring and experiment management.
IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.
Automates GitHub pull request analysis by gathering diffs, comments, related issues, and local code context to provide comprehensive reviews. Developers and code reviewers benefit from faster, more thorough PR evaluations.
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