pproenca-dot-skills-1
claudeSoftware architecture patterns skill for designing maintainable, testable applications with clear separation of concerns.
200 skills
Master repository for tech-specific plugins covering SDKs, frameworks, and platforms.
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.
a2a-executor-patternsAgent-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-integrationIntegration 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-patternsSDK 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-configAgent-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-templatesA2A 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-patternsBullMQ queue configuration patterns including connection pooling, job options, rate limiting, and TypeScript types. Use when setting up queues or configuring job behavior.
worker-patternsBullMQ worker implementation patterns including job processors, concurrency, error handling, and graceful shutdown. Use when creating workers or handling job processing.
beat-schedulingPeriodic 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-configurationsMessage 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-patternsCelery 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-configsProduction 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-integrationsDjango, 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-flowerFlower 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-patternsResult 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-strategiesTask 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-patternsProduction-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-canvasCelery 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-thinkingDeep 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-integrationExamples and patterns for integrating FastMCP Cloud servers with Claude Agent SDK using HTTP transport
integration-templatessdk-config-validatorValidates Claude Agent SDK configuration files, environment setup, dependencies, and project structure
api-authenticationBackend 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-componentsPre-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-integrationClerk 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-protectionRoute 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-integrationComplete 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-providersConfigure 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-managementImplement 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-managementClerk 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-syncClerk 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-validationComprehensive 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-deploymentdoctl-patternsmanaged-databasesDigitalOcean Managed Database provisioning and connection patterns
networking-configDigitalOcean networking patterns - VPCs, firewalls, load balancers, DNS
spaces-storageDigitalOcean Spaces (S3-compatible) object storage patterns
production-deploymentProduction 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-integrationElevenLabs 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-processingVoice 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-patternsAsync 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-patternsREST 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-patternsImplement 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-configConfigure 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-structureProduction-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-integrationMemory 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-patternsAgent-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-patternsComprehensive 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-patternsConfigure 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-patternsLangGraph checkpointing patterns for state persistence with memory, SQLite, and Postgres backends. Use when implementing state recovery or human-in-the-loop workflows.
graph-patternsLangGraph workflow patterns including basic graphs, conditional routing, parallel execution, and subgraphs. Use when designing graph structure or workflow flow.
deepeval-testingDeepEval 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-trackingSupabase-backed evaluation tracking with runs, cases, and scores tables. Use when storing eval results, building dashboards, or tracking regression over time.
promptfoo-configpromptfoo 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-patternsBest 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-optimizationPerformance 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-integrationComplete 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-configscost-calculatorCost 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-projectsProvides 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-configsGoogle 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-helpersIntegration 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-dashboardTraining 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-patternsTemplates 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-scriptsData 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-patternsExpo 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-patternsMobile 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-navigationReact 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-designResponsive 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-configVercel 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-enforcementMandatory 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-patterns2025 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-setupSetup 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-patternsModel 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-validatorConfiguration 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-templatesOpenRouter 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-componentsNext.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-patternsStripe 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-schemasProduction-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-securityWebhook 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-strategiesdocument-parsersgoogle-file-searchemail-deliveryreact-email-templateswebhook-handlersagentic-platform-schemaauth-configse2e-test-scenariospgvector-setuprls-templatesrls-test-patternsschema-patternsschema-validationagent-workflow-patternsgenerative-ui-patternsprovider-config-validatorrag-implementationtesting-patternsai-content-generationastro-patternsastro-setupcomponent-integrationcontent-collectionssupabase-cmsSoftware architecture patterns skill for designing maintainable, testable applications with clear separation of concerns.
200 skills
Collection of plugins for code analysis, architecture review, SOLID principles, and distributed systems design.
113 skills
Comprehensive development environment featuring specialized AI agents for code review, security analysis, and technical leadership. Designed for engineering teams managing complex codebases.
100 skills
In-code documentation tool for generating README files, JSDoc comments, and code organization guides automatically.
66 skills
Curated collection of high-quality Claude Code plugins built for production development workflows.
63 skills
Chinese-language Claude Code extension library containing skills, agents, and slash commands to enhance development capabilities.
14 skills · 19 commands · 20 agents · hooks
Expose the plugin-safe Claude Code subset of Agentic Awesome Skills through a single marketplace entry.
200 skills
Official Claude Code plugin for Catalyst by Zoho — full-stack serverless cloud platform. With Skills that covers all services, SDKs, CLI, architecture patterns, pricing, migration guides, and Zoho MCP tool-based resource management.
16 skills · 1 command · 1 MCP server · hooks
Identify and remove AI provenance marks from images, video, and text the user generated or edited. Use when the user asks to strip Gemini sparkles, SynthID, Microsoft InvisMark, Meta Content Seal, C2PA, EXIF/XMP AI metadata, Sora/Veo/Seedance/Doubao/Dola/Hailuo/Kling labels, or other AI watermarks, or asks whether a file was AI-generated. Do not use for stock-agency, marketplace, classifieds, or other third-party paid-asset watermarks.
1 skill
Build, deploy, and operate applications on AWS. Skills to author infrastructure-as-code (CDK, CloudFormation), use core services (Lambda, API Gateway, Step Functions, ECS/Fargate, ECR, IAM, Amazon Bedrock with Knowledge Bases and Guardrails, AWS Blocks), select and operate databases across relational, key-value, document, wide-column, graph, time-series, and in-memory engines (Aurora PostgreSQL/MySQL, Aurora DSQL, RDS, Oracle Database@AWS, DynamoDB, DocumentDB, Keyspaces, Neptune, Timestream, ElastiCache, and MemoryDB), and complete common tasks across observability (CloudWatch, X-Ray, CloudTrail, ADOT), messaging and streaming (SQS, SNS, EventBridge, Kinesis, MSK), AWS SDKs (boto3, JS v3, Swift), cost optimization, and Well-Architected Framework reviews across all six pillars.
27 skills · 1 MCP server
Evidence-gated Vast.ai operator pack for GPU rentals, Serverless, governance, recovery, and cost control (24 skills)
24 skills
Business strategy and growth frameworks including Crossing the Chasm tech adoption, Blue Ocean Strategy value innovation, EOS business operating system, Obviously Awesome positioning, Good Strategy Bad Strategy kernels, and Cold Start Problem network effects
65 skills
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