Skill UI

This skill demonstrates how to use the Juicebox SDK to perform advanced people searches and profile enrichment. Users can search for individuals using natural language queries (e.g., "senior ML engineer at FAANG with PhD") and retrieve detailed contact information, skills, and education data for professional outreach and market research. Supports both TypeScript and Python.

Offers automated AWS Lambda function generator guidance within the AWS Skills domain, producing code/configuration, enforcing cloud best practices, and validating serverless outputs when users request lambda function generator help.

This skill provides comprehensive guidance and patterns for developing user interfaces using Makepad within Rust applications. It covers setup procedures, design patterns, implementing shaders, packaging the final product, and troubleshooting common issues, ensuring robust and efficient GUI development.

This comprehensive guide details the workflow, core invariants, and guardrails for developing, modifying, and verifying TypeScript MCP servers and applications using the mcp-use package. It covers everything from project scaffolding and tool referencing to advanced features like authentication and skills over MCP, ensuring developers adhere to the latest architectural best practices.

Mastering the full lifecycle of machine learning models from data ingestion to deployment. This expertise covers building robust, production-grade MLOps pipelines using orchestrators like Kubeflow, Airflow, or Prefect. Key skills include feature store implementation with Feast, rigorous data validation, experiment tracking (e.g., MLflow), model registry management, and automated deployment workflows. Essential for automating model training and ensuring reproducibility at scale.

This skill leverages artificial intelligence to automate the creation of professional PowerPoint presentations. It performs deep document analysis to extract key insights, structure the narrative, and incorporate styled, relevant images, transforming source documents into polished, ready-to-use visual presentations efficiently.

This comprehensive guide helps developers make critical architectural decisions in modern Node.js development. It covers framework selection (Fastify, Hono, Express), implementing layered architecture, mastering async patterns, robust error handling, and essential security protocols. The focus is on teaching architectural thinking and problem-solving skills, ensuring the development of scalable, high-performance, and maintainable backend APIs.

Automates scaffolding of new Claude Code plugins within the claude-code-plugins repo, creating directories, plugin.json, READMEs, LICENSE, commands/agents/skills/MCP assets, and marketplace entries before validating schemas and syncing the catalog.

This guide details the standardized directory structure and best practices for building robust and maintainable plugins for Claude Code. It covers critical components including the plugin manifest (plugin.json), commands, agents, skills, and hooks. Use this skill when you need to scaffold a new plugin, understand the required component organization, or configure the plugin's architecture according to best practices.

Automates Google Cloud Pubsub topic setup with step-by-step guidance, best practices, production-ready configurations, and validation tailored for GCP skills workflows.

Base Refly ecosystem skill that routes user intents to domain-specific skills, runs workflows via the CLI, and automates multi-step tasks or pipelines by delegating execution to the Refly backend while providing CLI-specific triggers and commands.

Guide for creating effective Claude skills, covering skill structure, bundled resources, and progressive disclosure workflows.