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Found 508 Skills
Use Riverpod family providers to pass parameters and cache per parameter; FutureProvider.family, NotifierProvider.family, autoDispose with family, overriding in tests. Use when fetching data by ID, pagination, or any provider that depends on a parameter. Use this skill when the user asks about family, provider parameters, or caching by ID.
Use Ref and WidgetRef to read, watch, listen, invalidate, and refresh providers; onDispose and onCancel lifecycle; ref.read vs ref.watch vs ref.listen, ref.invalidate and ref.refresh. Use when interacting with Riverpod providers from widgets or other providers, when to use watch vs read, or when resetting provider state. Use this skill whenever the user asks about ref.watch, ref.read, ref.listen, ref.invalidate, or Riverpod lifecycle.
Use ProviderObserver to log or debug Riverpod provider lifecycle; didUpdateProvider, ProviderScope observers, naming providers. Use when adding logging, analytics, or debugging for provider state changes. Use this skill when the user asks about ProviderObserver, logging Riverpod, or debugging provider updates.
Install Riverpod (flutter_riverpod or riverpod), wrap the app in ProviderScope, run a hello-world provider, and optionally enable riverpod_lint and code generation. Use when starting a Flutter or Dart project with Riverpod, adding the Riverpod dependency, or setting up ProviderScope and a first provider. For version highlights see the official Riverpod docs.
Cross-platform CLI tool for managing Claude Code, Codex, Gemini, OpenCode & OpenClaw providers, MCP servers, prompts, skills, and proxies.
Use when choosing which Prefactor SDK skill to load for agent instrumentation or for building a custom provider integration on top of @prefactor/core.
Create a new backend block following the Block SDK Guide. Guides through provider configuration, schema definition, authentication, and testing. TRIGGER when user asks to create a new block, add a new integration, or build a new node for the graph editor.
React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API changes.
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
Use this skill to work with Microsoft Foundry (Azure AI Foundry): deploy AI models from catalog, build RAG applications with knowledge indexes, create and evaluate AI agents, manage RBAC permissions and role assignments, manage quotas and capacity, create Foundry resources. USE FOR: Microsoft Foundry, AI Foundry, deploy model, model catalog, RAG, knowledge index, create agent, evaluate agent, agent monitoring, create Foundry project, new Foundry project, set up Foundry, onboard to Foundry, provision Foundry infrastructure, create Foundry resource, create AI Services, multi-service resource, AIServices kind, register resource provider, enable Cognitive Services, setup AI Services account, create resource group for Foundry, RBAC, role assignment, managed identity, service principal, permissions, quota, capacity, TPM, deployment failure, QuotaExceeded. DO NOT USE FOR: Azure Functions (use azure-functions), App Service (use azure-create-app), generic Azure resource creation (use azure-create-app).
Assess and migrate cross-cloud workloads to Azure. Generates assessment reports and converts code from AWS, GCP, or other providers to Azure services. WHEN: "migrate Lambda to Azure Functions", "migrate AWS to Azure", "Lambda migration assessment", "convert AWS serverless to Azure", "migration readiness report", "migrate from AWS", "migrate from GCP", "cross-cloud migration".
Develop AI-powered applications using Genkit in Go. Use when the user asks to build AI features, agents, flows, or tools in Go using Genkit, or when working with Genkit Go code involving generation, prompts, streaming, tool calling, or model providers.