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wshobson/agents

Claude Code subagents and plugins by Seth Hobson.

Upstream
github.com/wshobson/agents
License
MIT MIT License
Prompts
490
Last sync
Commit
9b15b34b0b

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Prompts from wshobson/agents

  • Integrate Stripe, PayPal, and payment processors. Handles checkout flows, subscriptions, webhooks, and PCI compliance. Use PROACTIVELY when implementing payments, billing, or subscription features.

    by wshobson

  • Use at the start of every work session. Reads the canonical state doc, verifies live state, reconciles drift from external deploys or dirty shutdowns, and prints a concise briefing. Pairs with session-end.

    by wshobson

  • Use at the end of every significant work session. Finalizes the session — lessons, open issues, next steps, and any state not already written by deploy or other event handlers. Skips cleanly if nothing significant changed. Pairs with session-start.

    by wshobson

  • Pulls recent production logs filtered for errors, warnings, and anomalies. Use after any deploy, after a load test, or any time you suspect something is going wrong. Treats logs as the only acceptable primary source for incident analysis — never infers from dashboards or script stdout alone.

    by wshobson

  • Use when deploying to production. Runs tests, builds, deploys, verifies live, and updates the state doc with the confirmed revision. Stops if tests fail; never reports shipped until the live system confirms the new build is serving traffic.

    by wshobson

  • Comprehensive pre-ship review of all changes since the last deploy or a specified commit. Walks correctness, atomicity and race conditions, error handling, data-store hygiene, security, type safety, tests, integration, performance, and observability. Use after any sprint and always before deploying. Ends with a SHIP / SHIP WITH FIXES / DO NOT SHIP verdict.

    by wshobson

  • Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting. Use when establishing reliability targets, implementing SRE practices, or measuring service performance.

    by wshobson

  • Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.

    by wshobson

  • Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.

    by wshobson

  • Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.

    by wshobson

  • Implement SLOs with SLI selection, error budgets, burn-rate alerting, dashboards, and reporting

    by wshobson

  • Set up monitoring and observability with Prometheus metrics, Grafana dashboards, distributed tracing, log aggregation, and alerting

    by wshobson

  • Expert performance engineer specializing in modern observability, application optimization, and scalable system performance. Masters OpenTelemetry, distributed tracing, load testing, multi-tier caching, Core Web Vitals, and performance monitoring. Handles end-to-end optimization, real user monitoring, and scalability patterns. Use PROACTIVELY for performance optimization, observability, or scalability challenges.

    by wshobson

  • Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows. Use PROACTIVELY for monitoring infrastructure, performance optimization, or production reliability.

    by wshobson

  • Expert network engineer specializing in modern cloud networking, security architectures, and performance optimization. Masters multi-cloud connectivity, service mesh, zero-trust networking, SSL/TLS, global load balancing, and advanced troubleshooting. Handles CDN optimization, network automation, and compliance. Use PROACTIVELY for network design, connectivity issues, or performance optimization.

    by wshobson

  • Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures. Masters advanced indexing, N+1 resolution, multi-tier caching, partitioning strategies, and cloud database optimization. Handles complex query analysis, migration strategies, and performance monitoring. Use PROACTIVELY for database optimization, performance issues, or scalability challenges.

    by wshobson

  • Orchestrate cross-platform feature development across web, mobile, and desktop with API-first architecture

    by wshobson

  • Create interface designs, wireframes, and design systems. Masters user research, accessibility standards, and modern design tools. Specializes in design tokens, component libraries, and inclusive design. Use PROACTIVELY for design systems, user flows, or interface optimization.

    by wshobson

  • Develop React Native, Flutter, or native mobile apps with modern architecture patterns. Masters cross-platform development, native integrations, offline sync, and app store optimization. Use PROACTIVELY for mobile features, cross-platform code, or app optimization.

    by wshobson

  • Develop native iOS applications with Swift/SwiftUI. Masters iOS 18, SwiftUI, UIKit integration, Core Data, networking, and App Store optimization. Use PROACTIVELY for iOS-specific features, App Store optimization, or native iOS development.

    by wshobson

  • Build React components, implement responsive layouts, and handle client-side state management. Masters React 19, Next.js 15, and modern frontend architecture. Optimizes performance and ensures accessibility. Use PROACTIVELY when creating UI components or fixing frontend issues.

    by wshobson

  • Master Flutter development with Dart 3, advanced widgets, and multi-platform deployment. Handles state management, animations, testing, and performance optimization for mobile, web, desktop, and embedded platforms. Use PROACTIVELY for Flutter architecture, UI implementation, or cross-platform features.

    by wshobson

  • Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems. Masters REST/GraphQL/gRPC APIs, event-driven architectures, service mesh patterns, and modern backend frameworks. Handles service boundary definition, inter-service communication, resilience patterns, and observability. Use PROACTIVELY when creating new backend services or APIs.

    by wshobson

  • Gen

    text

    Quick image generation. Use when user runs /meigen-ai-design:gen with a prompt. Skips intent assessment, generates directly.

    by wshobson

  • Find

    text

    Quick gallery search. Use when user runs /meigen-ai-design:find with keywords to browse inspiration.

    by wshobson

  • Batch prompt writing agent. Delegates here when you need to write multiple distinct prompts at once — for parallel image generation (e.g., "5 logo concepts"), serial-to-parallel workflows (e.g., generate logo then apply to mug/t-shirt/poster), or any task requiring 2+ prompts crafted simultaneously.

    by wshobson

  • Image generation executor agent. Delegates here for ALL generate_image calls to keep the main conversation context clean. Spawn one per image; for parallel generation, spawn multiple in a single response.

    by wshobson

  • Gallery search and inspiration agent. Delegates here when user wants to find references, explore styles, build a mood board, or needs inspiration before deciding what to generate. Searches the MeiGen gallery database of 1300+ curated AI-generated images.

    by wshobson

  • Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework popularized by xAI's open-sourced X For You algorithm. Use when building any system that picks "the top K items for a (user, context)" — content feeds, search ranking, RAG rerankers, task prioritizers, notification triage, ad selection.

    by wshobson

  • Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.

    by wshobson