claude

vanman2024-ai-dev-marketplace

Master repository for tech-specific plugins covering SDKs, frameworks, and platforms.

0 on GitHubupdated 6 months agocode_general
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Plugin vanman2024-ai-dev-marketplace from marketplace cascade-code-general-misc-1 in joshuarweaver/cascade-code-general-misc-1. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (104)

  • a2a-executor-patterns

    Agent-to-Agent (A2A) executor implementation patterns for task handling, execution management, and agent coordination. Use when building A2A executors, implementing task handlers, creating agent execution flows, or when user mentions A2A protocol, task execution, agent executors, task handlers, or a

  • a2a-mcp-integration

    Integration patterns for combining Agent-to-Agent (A2A) Protocol with Model Context Protocol (MCP) for hybrid agent communication. Use when building systems that need both agent-to-agent communication and agent-to-tool integration, implementing composite architectures, or when user mentions A2A+MCP

  • a2a-sdk-patterns

    SDK installation and setup patterns for Agent-to-Agent Protocol across Python, TypeScript, Java, C#, and Go. Use when implementing A2A protocol, setting up SDKs, configuring authentication, or when user mentions SDK installation, language-specific setup, or A2A integration.

  • a2a-server-config

    Agent-to-Agent (A2A) server configuration patterns for HTTP, STDIO, SSE, and WebSocket transports. Use when building A2A servers, configuring MCP transports, setting up server endpoints, or when user mentions A2A configuration, server transport, MCP server setup, or agent communication protocols.

  • agent-card-templates

    A2A agent card JSON templates with schema validation and examples for different agent types. Use when creating agent cards, implementing A2A protocol discovery, setting up agent metadata, configuring authentication schemes, defining agent capabilities, or when user mentions agent card, agent discove

  • queue-patterns

    BullMQ queue configuration patterns including connection pooling, job options, rate limiting, and TypeScript types. Use when setting up queues or configuring job behavior.

  • worker-patterns

    BullMQ worker implementation patterns including job processors, concurrency, error handling, and graceful shutdown. Use when creating workers or handling job processing.

  • beat-scheduling

    Periodic task scheduling patterns with Celery Beat (crontab, interval, solar). Use when configuring periodic tasks, setting up task schedules, implementing recurring jobs, configuring django-celery-beat, or creating dynamic schedules.

  • broker-configurations

    Message broker setup patterns (Redis, RabbitMQ, SQS) for Celery including connection strings, SSL configuration, high availability, and production best practices. Use when configuring message brokers, setting up Redis/RabbitMQ/SQS, troubleshooting broker connections, implementing HA/failover, securi

  • celery-config-patterns

    Celery configuration templates for all frameworks (Django, Flask, FastAPI, standalone). Use when configuring Celery, setting up task queues, creating Celery apps, integrating with frameworks, or when user mentions Celery configuration, task queue setup, broker configuration, or framework integration

  • deployment-configs

    Production deployment configurations for Celery workers and beat schedulers across Docker, Kubernetes, and systemd environments. Use when deploying Celery to production, containerizing workers, orchestrating with Kubernetes, setting up systemd services, configuring health checks, implementing gracef

  • framework-integrations

    Django, Flask, FastAPI integration patterns for Celery. Use when integrating Celery with Django, Flask, or FastAPI, setting up framework-specific configurations, handling application contexts, managing database transactions with tasks, configuring async workers, or when user mentions Django Celery,

  • monitoring-flower

    Flower monitoring setup and configuration for Celery including real-time monitoring, authentication, custom dashboards, and Prometheus metrics integration. Use when setting up Celery monitoring, configuring Flower web UI, implementing authentication, creating custom dashboards, integrating with Prom

  • result-backend-patterns

    Result backend configuration patterns for Celery including Redis, Database, and RPC backends with serialization, expiration policies, and performance optimization. Use when configuring result storage, troubleshooting result persistence, implementing custom serializers, migrating between backends, op

  • routing-strategies

    Task routing and queue management patterns for Celery including priority queues, topic exchanges, worker-specific routing, and advanced queue configurations. Use when configuring task routing, managing queues, setting up priority queues, implementing worker routing, configuring topic exchanges, or w

  • task-patterns

    Production-ready Celery task templates with error handling, retries, rate limiting, time limits, and custom task classes. Use when creating Celery tasks, implementing retry logic, adding rate limiting, setting time limits, building custom task classes, validating task inputs with Pydantic, handling

  • workflow-canvas

    Celery canvas patterns for workflow composition including chains, groups, chords, signatures, error handling, and nested workflows. Use when building complex task workflows, parallel execution patterns, task synchronization, callback handling, or when user mentions canvas primitives, workflow compos

  • extended-thinking

    Deep reasoning with Claude's extended thinking feature for complex multi-step problems. Use when implementing think-aloud reasoning, complex analysis, or debugging difficult issues.

  • fastmcp-integration

    Examples and patterns for integrating FastMCP Cloud servers with Claude Agent SDK using HTTP transport

  • integration-templates
  • sdk-config-validator

    Validates Claude Agent SDK configuration files, environment setup, dependencies, and project structure

  • api-authentication

    Backend API authentication patterns with Clerk JWT middleware and route protection. Use when building REST APIs, GraphQL APIs, protecting backend routes, implementing JWT validation, setting up Express middleware, or when user mentions API authentication, backend security, JWT tokens, or protected e

  • auth-components

    Pre-built and custom Clerk authentication component templates with theming and customization patterns. Use when building authentication UI, creating sign-in/sign-up pages, customizing Clerk components, implementing user buttons, theming auth flows, or when user mentions Clerk components, SignIn, Sig

  • billing-integration

    Clerk Billing and Stripe subscription management setup. Use when implementing subscriptions, configuring pricing plans, setting up billing, adding payment flows, managing entitlements, or when user mentions Clerk Billing, Stripe integration, subscription management, pricing tables, payment processin

  • middleware-protection

    Route protection and authorization patterns for Clerk middleware. Use when implementing route guards, protecting API routes, configuring middleware matchers, setting up role-based access control, creating auth boundaries, or when user mentions middleware, route protection, auth guards, protected rou

  • nextjs-integration

    Complete Next.js integration patterns for Clerk authentication with App Router and Pages Router. Use when setting up Clerk in Next.js, configuring authentication middleware, implementing protected routes, setting up server/client components with auth, or when user mentions Clerk Next.js setup, App R

  • oauth-providers

    Configure OAuth authentication providers for Clerk (Google, GitHub, Discord, Apple, Microsoft, Facebook, LinkedIn, Twitter, and 11+ more). Use when setting up social login, configuring OAuth providers, implementing authentication flows, generating redirect URLs, testing OAuth connections, or when us

  • organization-management

    Implement Clerk multi-tenant organization features with RBAC, role-based access control, organization switching, member management, and tenant isolation. Use when building multi-tenant SaaS applications, implementing organization hierarchies, configuring custom roles and permissions, setting up orga

  • session-management

    Clerk session handling, JWT verification, token management, and multi-session workflows. Use when implementing session validation, JWT claims customization, token refresh patterns, session lifecycle management, or when user mentions session errors, authentication tokens, JWT verification, multi-devi

  • supabase-clerk-sync

    Clerk and Supabase integration patterns for user sync, JWT authentication, and RLS policies. Use when integrating Clerk authentication with Supabase, syncing user data between platforms, configuring RLS with Clerk JWT tokens, setting up webhooks for user events, implementing secure database access w

  • testing-validation

    Comprehensive testing and validation tools for Clerk authentication integrations. Includes E2E auth flow testing, security audits, configuration validation, unit testing patterns for sign-in/sign-up flows. Use when implementing Clerk tests, validating authentication setup, testing auth flows, runnin

  • app-platform-deployment
  • doctl-patterns
  • managed-databases

    DigitalOcean Managed Database provisioning and connection patterns

  • networking-config

    DigitalOcean networking patterns - VPCs, firewalls, load balancers, DNS

  • spaces-storage

    DigitalOcean Spaces (S3-compatible) object storage patterns

  • production-deployment

    Production deployment patterns for ElevenLabs API including rate limiting, error handling, monitoring, and testing. Use when deploying to production, implementing rate limiting, setting up monitoring, handling errors, testing concurrency, or when user mentions production deployment, rate limits, err

  • stt-integration

    ElevenLabs Speech-to-Text transcription workflows with Scribe v1 supporting 99 languages, speaker diarization, and Vercel AI SDK integration. Use when implementing audio transcription, building STT features, integrating speech-to-text, setting up Vercel AI SDK with ElevenLabs, or when user mentions

  • voice-processing

    Voice cloning workflows, voice library management, audio format conversion, and voice settings. Use when cloning voices, managing voice libraries, processing audio for voice creation, configuring voice settings, or when user mentions voice cloning, instant cloning, professional cloning, voice librar

  • async-sqlalchemy-patterns

    Async SQLAlchemy 2.0+ database patterns for FastAPI including session management, connection pooling, Alembic migrations, relationship loading strategies, and query optimization. Use when implementing database models, configuring async sessions, setting up migrations, optimizing queries, managing re

  • fastapi-api-patterns

    REST API design and implementation patterns for FastAPI endpoints including CRUD operations, pagination, filtering, error handling, and request/response models. Use when building FastAPI endpoints, creating REST APIs, implementing CRUD operations, adding pagination, designing API routes, handling AP

  • fastapi-auth-patterns

    Implement and validate FastAPI authentication strategies including JWT tokens, OAuth2 password flows, OAuth2 scopes for permissions, and Supabase integration. Use when implementing authentication, securing endpoints, handling user login/signup, managing permissions, integrating OAuth providers, or w

  • fastapi-deployment-config

    Configure multi-platform deployment for FastAPI applications including Docker containerization, Railway, DigitalOcean App Platform, and AWS deployment. Use when deploying FastAPI apps, setting up production environments, containerizing applications, configuring cloud platforms, implementing health c

  • fastapi-project-structure

    Production-ready FastAPI project scaffolding templates including directory structure, configuration files, settings management, dependency injection, MCP server integration, and development/production setup patterns. Use when creating FastAPI projects, setting up project structure, configuring FastA

  • mem0-fastapi-integration

    Memory layer integration patterns for FastAPI with Mem0 including client setup, memory service patterns, user tracking, conversation persistence, and background task integration. Use when implementing AI memory, adding Mem0 to FastAPI, building chat with memory, or when user mentions Mem0, conversat

  • a2a-patterns

    Agent-to-Agent (A2A) protocol implementation patterns for Google ADK - exposing agents via A2A, consuming external agents, multi-agent communication, and protocol configuration. Use when building multi-agent systems, implementing A2A protocol, exposing agents as services, consuming remote agents, co

  • observability-patterns

    Comprehensive observability setup patterns for Google ADK agents including logging configuration, Cloud Trace integration, BigQuery Agent Analytics, and third-party observability tools (AgentOps, Phoenix, Weave). Use when implementing monitoring, debugging agent behavior, analyzing agent performance

  • streaming-patterns

    Configure ADK bidi-streaming for real-time multimodal interactions. Use when building live voice/video agents, implementing real-time streaming, configuring LiveRequestQueue, setting up audio/video processing, or when user mentions bidi-streaming, real-time agents, streaming tools, multimodal stream

  • checkpoint-patterns

    LangGraph checkpointing patterns for state persistence with memory, SQLite, and Postgres backends. Use when implementing state recovery or human-in-the-loop workflows.

  • graph-patterns

    LangGraph workflow patterns including basic graphs, conditional routing, parallel execution, and subgraphs. Use when designing graph structure or workflow flow.

  • deepeval-testing

    DeepEval pytest-style LLM testing patterns with built-in metrics, custom evaluators, and CI integration. Use when creating LLM tests, evaluating RAG quality, or measuring faithfulness/relevance.

  • eval-tracking

    Supabase-backed evaluation tracking with runs, cases, and scores tables. Use when storing eval results, building dashboards, or tracking regression over time.

  • promptfoo-config

    promptfoo configuration patterns for prompt regression testing, multi-provider comparison, and assertion-based validation. Use when setting up prompt testing, comparing LLM providers, or creating eval pipelines.

  • memory-design-patterns

    Best practices for memory architecture design including user vs agent vs session memory patterns, vector vs graph memory tradeoffs, retention strategies, and performance optimization. Use when designing memory systems, architecting AI memory layers, choosing memory types, planning retention strategi

  • memory-optimization

    Performance optimization patterns for Mem0 memory operations including query optimization, caching strategies, embedding efficiency, database tuning, batch operations, and cost reduction for both Platform and OSS deployments. Use when optimizing memory performance, reducing costs, improving query sp

  • supabase-integration

    Complete Supabase setup for Mem0 OSS including PostgreSQL schema with pgvector for embeddings, memory_relationships tables for graph memory, RLS policies for user/tenant isolation, performance indexes, connection pooling, and backup/migration strategies. Use when setting up Mem0 with Supabase, confi

  • cloud-gpu-configs
  • cost-calculator

    Cost estimation scripts and tools for calculating GPU hours, training costs, and inference pricing across Modal, Lambda Labs, and RunPod platforms. Use when estimating ML training costs, comparing platform pricing, calculating GPU hours, budgeting for ML projects, or when user mentions cost estimati

  • example-projects

    Provides three production-ready ML training examples (sentiment classification, text generation, RedAI trade classifier) with complete training scripts, deployment configs, and datasets. Use when user needs example projects, reference implementations, starter templates, or wants to see working code

  • google-cloud-configs

    Google Cloud Platform configuration templates for BigQuery ML and Vertex AI training with authentication setup, GPU/TPU configs, and cost estimation tools. Use when setting up GCP ML training, configuring BigQuery ML models, deploying Vertex AI training jobs, estimating GCP costs, configuring cloud

  • integration-helpers

    Integration templates for FastAPI endpoints, Next.js UI components, and Supabase schemas for ML model deployment. Use when deploying ML models, creating inference APIs, building ML prediction UIs, designing ML database schemas, integrating trained models with applications, or when user mentions Fast

  • monitoring-dashboard

    Training monitoring dashboard setup with TensorBoard and Weights & Biases (WandB) including real-time metrics tracking, experiment comparison, hyperparameter visualization, and integration patterns. Use when setting up training monitoring, tracking experiments, visualizing metrics, comparing model r

  • training-patterns

    Templates and patterns for common ML training scenarios including text classification, text generation, fine-tuning, and PEFT/LoRA. Provides ready-to-use training configurations, dataset preparation scripts, and complete training pipelines. Use when building ML training pipelines, fine-tuning models

  • validation-scripts

    Data validation and pipeline testing utilities for ML training projects. Validates datasets, model checkpoints, training pipelines, and dependencies. Use when validating training data, checking model outputs, testing ML pipelines, verifying dependencies, debugging training failures, or ensuring data

  • expo-patterns

    Expo and React Native patterns for mobile development with EAS Build, SDK integration, and native module configuration. Use when building Expo apps, configuring native features, or setting up app signing for store deployment.

  • mobile-auth-patterns

    Mobile authentication patterns with Clerk, Supabase, and custom auth including biometrics, secure storage, and social login. Use when implementing authentication, managing tokens, or setting up biometric unlock.

  • mobile-navigation

    React Navigation patterns for mobile apps including stack, tab, drawer navigators, deep linking, and typed navigation with TypeScript. Use when building navigation structure, handling deep links, or implementing authentication flows.

  • responsive-design

    Responsive design patterns for mobile apps including adaptive layouts, safe areas, screen size handling, and platform-specific styling. Use when building responsive UI or handling different screen sizes.

  • deployment-config

    Vercel deployment configuration and optimization for Next.js applications including vercel.json setup, environment variables, build optimization, edge functions, and deployment troubleshooting. Use when deploying to Vercel, configuring deployment settings, optimizing build performance, setting up en

  • design-system-enforcement

    Mandatory design system guidelines for shadcn/ui with Tailwind v4. Enforces 4 font sizes, 2 weights, 8pt grid spacing, 60/30/10 color rule, OKLCH colors, and accessibility standards. Use when creating components, pages, or any UI elements. ALL agents MUST read and validate against design system befo

  • seo-2025-patterns

    2025 SEO best practices for Next.js including Core Web Vitals (INP replaces FID), E-E-A-T signals, Schema markup, AI content guidelines, and technical SEO. Use when optimizing pages for search engines, implementing metadata, adding structured data, or improving page speed.

  • tailwind-shadcn-setup

    Setup Tailwind CSS and shadcn/ui component library for Next.js projects. Use when configuring Tailwind CSS, installing shadcn/ui, setting up design tokens, configuring dark mode, initializing component library, or when user mentions Tailwind setup, shadcn/ui installation, component system, design sy

  • model-routing-patterns

    Model routing configuration templates and strategies for cost optimization, speed optimization, quality optimization, and intelligent fallback chains. Use when building AI applications with OpenRouter, implementing model routing strategies, optimizing API costs, setting up fallback chains, implement

  • openrouter-config-validator

    Configuration validation and testing utilities for OpenRouter API. Use when validating API keys, testing model availability, checking routing configuration, troubleshooting connection issues, analyzing usage costs, or when user mentions OpenRouter validation, config testing, API troubleshooting, mod

  • provider-integration-templates

    OpenRouter framework integration templates for Vercel AI SDK, LangChain, and OpenAI SDK. Use when integrating OpenRouter with frameworks, setting up AI providers, building chat applications, implementing streaming responses, or when user mentions Vercel AI SDK, LangChain, OpenAI SDK, framework integ

  • checkout-components

    Next.js checkout UI components with Stripe Elements and payment forms. Use when creating checkout pages, payment forms, subscription UIs, customer portals, or when user mentions Stripe Elements, payment UI, checkout flow, subscription management, or payment forms.

  • stripe-patterns

    Stripe integration templates with reusable code for Checkout, Payment Intents, and Subscriptions. Use when implementing Stripe payments, building checkout flows, handling subscriptions, or integrating payment processing.

  • subscription-schemas

    Production-ready Supabase database schemas for customers, subscriptions, payments, invoices, and webhook events with comprehensive Row Level Security policies. Use when setting up payment infrastructure, creating subscription tables, implementing secure payment data storage, or configuring RLS polic

  • webhook-security

    Webhook validation patterns with signature verification, event logging, and testing tools. Use when implementing webhooks, validating webhook signatures, securing payment webhooks, testing webhook endpoints, preventing replay attacks, or when user mentions webhook security, Stripe webhooks, signatur

  • chunking-strategies
  • document-parsers
  • google-file-search
  • email-delivery
  • react-email-templates
  • webhook-handlers
  • agentic-platform-schema
  • auth-configs
  • e2e-test-scenarios
  • pgvector-setup
  • rls-templates
  • rls-test-patterns
  • schema-patterns
  • schema-validation
  • agent-workflow-patterns
  • generative-ui-patterns
  • provider-config-validator
  • rag-implementation
  • testing-patterns
  • ai-content-generation
  • astro-patterns
  • astro-setup
  • component-integration
  • content-collections
  • supabase-cms
View source on GitHub

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