npm
Automate non-interactive npm package installations by piping shell confirmations to bypass prompts.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
152 skills found
Automate non-interactive npm package installations by piping shell confirmations to bypass prompts.
Migrate existing OpenAI Apps SDK applications to the MCP Apps SDK, including step-by-step guidance, API mapping tables, and CSP investigation workflows.
Intelligent pattern selection for Fabric CLI, automatically choosing from 242+ specialized prompts for threat modeling, data analysis, summarization, and content creation.
Self-modify your Milady agent by managing plugins. Edit code, rebuild, and restart the runtime to develop new capabilities or improve agent workflows locally.
Private skill distribution system for managing agentics across devices and teams. Install, sync, add, and update your agents, skills, and prompts via a central library catalog.
Toolkit for testing local web applications using Playwright, featuring server lifecycle management, automated DOM inspection, and browser automation workflows.
Manage Python environments and packages using uv. Expert guidance for fast, modern project setup, dependency management, script execution, and tool installation as a drop-in replacement for pip, virtualenv, and poetry.
A command-line tool for managing, building, and deploying Agent Skills as OCI artifacts within the Agent Skills ecosystem.
Automate your daily Milan news digest with this Python-based briefing tool. Supports weather, strikes, world/AI/Italian news, and event scraping, featuring deduplication, RSS/API pipeline management, and AI-agent ready scheduling.
Retrieve current, source-backed technical information using MCP tools to resolve queries about libraries, APIs, SDKs, and evolving tech ecosystems.
Automate pull request reviews with structural code analysis, blast radius assessment, and dependency impact mapping.
Efficiently extract, filter, and transform specific fields from JSON files using jq, saving up to 95% of context window usage compared to reading full files.