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Found 635 Skills
Implement Syncfusion Maps component for ASP.NET Core to visualize geographical data. Use this when working with maps, GeoJSON files, choropleth visualizations, or spatial data display. This skill covers map layers, markers, bubbles, map providers (Bing Maps, Azure Maps, OpenStreetMap), data binding, color mapping, and user interactions like zooming and panning. Suitable for world maps, country maps, regional visualizations, and location-based data presentation.
React Router v7 best practices for data-driven routing. Use when implementing routes, loaders, actions, Form components, fetchers, navigation guards, protected routes, or URL search params. Triggers on createBrowserRouter, RouterProvider, useLoaderData, useActionData, useFetcher, NavLink, Outlet.
This skill should be used when working with DSPy.rb, a Ruby framework for building type-safe, composable LLM applications. Use this when implementing predictable AI features, creating LLM signatures and modules, configuring language model providers (OpenAI, Anthropic, Gemini, Ollama), building agent systems with tools, optimizing prompts, or testing LLM-powered functionality in Ruby applications.
Finding and accessing AI/LLM model brand icons from lobe-icons library. Use when users need icon URLs, want to download brand logos for AI models/providers/applications (Claude, GPT, Gemini, etc.), or request icons in SVG/PNG/WEBP formats.
Minimal, unopinionated state management library for React with simple hook-based API, no providers, and minimal boilerplate for global state without Redux complexity.
This skill provides project-specific coding conventions, architectural principles, repository structure standards, testing patterns, and contribution guidelines for the better-chatbot project (https://github.com/cgoinglove/better-chatbot). Use this skill when contributing to or working with better-chatbot to understand the design philosophy and ensure code follows established patterns. Includes: API architecture deep-dive, three-tier tool system (MCP/Workflow/Default), component design patterns, database repository patterns, architectural principles (progressive enhancement, defensive programming, streaming-first), practical templates for adding features (tools, routes, repositories). Use when: working in better-chatbot repository, contributing features/fixes, understanding architectural decisions, following server action validators, implementing tools/workflows, setting up Playwright tests, adding API routes, designing database queries, building UI components, handling multi-AI provider integration Keywords: better-chatbot, chatbot contribution, better-chatbot standards, chatbot development, AI chatbot patterns, API architecture, three-tier tool system, repository pattern, progressive enhancement, defensive programming, streaming-first, compound component pattern, Next.js chatbot, Vercel AI SDK chatbot, MCP tools, workflow builder, server action validators, tool abstraction, DAG workflows, shared business logic, safe() wrapper, tool lifecycle
Production-ready authentication framework for TypeScript with first-class Cloudflare D1 support. Use this skill when building auth systems as a self-hosted alternative to Clerk or Auth.js, particularly for Cloudflare Workers projects. Supports social providers (Google, GitHub, Microsoft, Apple), email/password, magic links, 2FA, passkeys, organizations, and RBAC. Prevents 10+ common authentication errors including session serialization issues, CORS misconfigurations, D1 adapter setup, social provider OAuth flows, and JWT token handling. Keywords: better-auth, authentication, cloudflare d1 auth, self-hosted auth, typescript auth, clerk alternative, auth.js alternative, social login, oauth providers, session management, jwt tokens, 2fa, two-factor, passkeys, webauthn, multi-tenant auth, organizations, teams, rbac, role-based access, google auth, github auth, microsoft auth, apple auth, magic links, email password, better-auth setup, session serialization error, cors auth, d1 adapter
This skill should be used when the user asks for "model council", "multi-model", "compare models", "ask multiple AIs", "consensus across models", "run on different models", or wants to get solutions from multiple AI providers (Claude, GPT, Gemini, Grok) and compare results. Orchestrates parallel execution across AI models/CLIs and synthesizes the best answer.
Comprehensive Terraform infrastructure-as-code skill covering providers, resources, modules, state management, and enterprise patterns for multi-cloud infrastructure
Terraform infrastructure as code with providers and state management. Use for cloud provisioning.
Provision Azure infrastructure with Terraform. Configure providers, manage state, and deploy resources. Use when implementing IaC for Azure.
Generate a production-grade React MQTT context for CloudSignal real-time notifications over WebSocket. Supports Clerk, Supabase, Auth0, Firebase, and custom OIDC auth providers. Use when implementing real-time notifications, live updates, job progress tracking, or WebSocket messaging with CloudSignal.