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Found 8,941 Skills
Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.
Help users define AI product strategy. Use when someone is building an AI product, deciding where to apply AI in their product, planning an AI roadmap, evaluating build vs buy for AI capabilities, or figuring out how to integrate AI into existing products.
Uses Chrome DevTools via MCP for efficient debugging, troubleshooting and browser automation. Use when debugging web pages, automating browser interactions, analyzing performance, or inspecting network requests.
Guide for implementing usage-based billing with Dodo Payments - meters, events, pricing per unit, and metered subscriptions.
Comprehensive skills for working with Overlastic
Convert markdown to beautifully styled Word documents using custom templates. Supports branded fonts, colors, and table styling. Extract styles from existing docs or generate fresh templates.
Expert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies. Covers agent design with roles and goals, task definition, crew orchestration, process types (sequential, hierarchical, parallel), memory systems, and flows for complex workflows. Essential for building collaborative AI agent teams. Use when: crewai, multi-agent team, agent roles, crew of agents, role-based agents.
Use this skill when building applications with Gemini models, Gemini API, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or needing current model specifications. Covers SDK usage (google-genai for Python, @google/genai for JavaScript/TypeScript), model selection, and API capabilities.
Access 1200+ AI Agent tools via Model Context Protocol (MCP)
Create and manage Kibana alerting rules via REST API or Terraform. Use when creating, updating, or managing rule lifecycle (enable, disable, mute, snooze) or rules-as-code workflows.
Filter Etsy stores through multiple dimensions (sales volume, favorites, reviews, store opening time, country, main category, Raving/star label, etc.) via the EHunt MCP tool `_ehunt_storeQuery` (display name: "Etsy Store Query"). Trigger this skill when users mention EHunt Etsy stores, Etsy store search, Etsy seller, Etsy store rankings, Etsy weekly sales stores, ehunt stores, Etsy store query, or _ehunt_storeQuery. Even if users don't mention EHunt, this skill should be triggered as long as they are looking for stores on Etsy, filtering store data, or analyzing store performance.
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.