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Found 2,732 Skills
Git worktree management for parallel SPEC development with isolated workspaces, automatic branch registration, and seamless MoAI-ADK integration. Use when setting up parallel development environments, creating isolated SPEC workspaces, managing git worktrees, or working on multiple features simultaneously. Do NOT use for regular git operations like commit or merge (use manager-git agent instead).
Comprehensive multi-dimensional skill reviews across structure, content, quality, usability, and integration. Task-based operations with automated validation, manual assessment, scoring rubrics, and improvement recommendations. Use when reviewing skills, ensuring quality, validating production readiness, identifying improvements, or conducting quality assurance.
WebGPU fundamentals for high-performance canvas rendering. Covers device initialization, buffer management, WGSL shaders, render pipelines, compute shaders, and web component integration. Use when building GPU-accelerated graphics, particle systems, or compute-intensive visualizations.
Comprehensive testing strategies for Bubbletea v2 applications. Covers unit tests, component tests, golden file testing, async operations, external tool integration, and common testing pitfalls.
Testing Inertia Rails responses with RSpec and Minitest: component assertions, prop matching, flash verification, deferred props, and partial reload helpers. Use when writing controller specs, request specs, or integration tests for Inertia pages. ALWAYS use matchers (render_component, have_props, have_flash), NOT direct access (inertia.component, inertia.props). CRITICAL: after POST/PATCH/DELETE with redirect, MUST call follow_redirect! before asserting flash or props — without it you're asserting against the 302, not the Inertia page. Setup: require 'inertia_rails/rspec'.
Learn and write templ component syntax including expressions, conditionals, loops, and Go integration. Use when writing .templ files, learning templ syntax, or mentions 'templ component', 'templ expressions', or '.templ file syntax'.
Create new scientific tools for ToolUniverse framework with proper structure, validation, and testing. Use when users need to add tools to ToolUniverse, implement new API integrations, create tool wrappers for scientific databases/services, expand ToolUniverse capabilities, or follow ToolUniverse contribution guidelines. Supports creating tool classes, JSON configurations, validation, error handling, and test examples.
Azure CLI (az). Use when: managing Azure resources, deploying to App Service/Functions/Container Apps/AKS, working with Storage, SQL Database, Cosmos DB, VMs, VNets, NSGs, Key Vault, Entra ID (Azure AD), RBAC, Service Bus, Event Hubs, Container Registry, Azure Monitor, DNS, or any Azure service. Also covers: authentication, subscription management, CI/CD integration (GitHub Actions/Azure DevOps), Bicep/ARM templates, managed identities, and infrastructure automation.
Skill for implementing actual UI and integrating with APIs. Covers frontend-backend integration, state management, and API client architecture. Use proactively when user needs to connect frontend with backend APIs. Triggers: UI implementation, API integration, state management, UI 구현, API連携, 状态管理, implementación UI, integración API, gestión de estado, implémentation UI, intégration API, gestion d'état, UI-Implementierung, API-Integration, Zustandsverwaltung, implementazione UI, integrazione API, gestione dello stato Do NOT use for: mockup creation, backend-only development, or design system setup.
Use when implementing payment processing, Stripe integration, subscription billing, checkout flows, webhooks, or asking about "Stripe", "payments", "subscriptions", "checkout", "PCI compliance", "webhooks", "refunds"
Build AI copilots, chatbots, and agentic UIs in React and Next.js using CopilotKit. Use this skill when the user wants to add an AI assistant, copilot, chat interface, AI-powered textarea, or agentic UI to their app. Covers setup, hooks (useCopilotAction, useCopilotReadable, useCoAgent, useAgent), chat components (CopilotPopup, CopilotSidebar, CopilotChat), generative UI, human-in-the-loop, CoAgents with LangGraph, AG-UI protocol, MCP Apps, and Python SDK integration. Triggers on CopilotKit, copilotkit, useCopilotAction, useCopilotReadable, useCoAgent, useAgent, CopilotRuntime, CopilotChat, CopilotSidebar, CopilotPopup, CopilotTextarea, AG-UI, agentic frontend, in-app AI copilot, AI assistant React, chatbot React, useFrontendTool, useRenderToolCall, useDefaultTool, useCoAgentStateRender, useLangGraphInterrupt, useCopilotChat, useCopilotAdditionalInstructions, useCopilotChatSuggestions, useHumanInTheLoop, CopilotTask, copilot runtime, LangGraphAgent, BasicAgent, BuiltInAgent, CopilotKitRemoteEndpoint, A2UI, MCP Apps, AI textarea, AI form completion, add AI to React app.
Persistent local memory for AI agents. Silently capture and retrieve context that survives beyond a single conversation: business requirements, API specs, integration quirks, technical decisions, user preferences, and domain knowledge. Use this skill proactively whenever you encounter information worth preserving or when context from past sessions would help the current task. Also triggered manually by "braindump this" (to store) or "use your brain" (to retrieve).