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MadAppGang
Guides implementation of React 19 features, component optimization, and state management choices including Server Actions and TanStack Query.
MadAppGang
A debugging tool that identifies root causes and traces errors using AST analysis for efficient issue resolution.
MadAppGang
Provides a structured template and methodology for creating SEO-optimized content briefs to guide writers and plan content strategy.
MadAppGang
Provides key performance indicators, industry benchmarks, and diagnostic patterns for cold email marketing campaigns.
MadAppGang
Conducts technical SEO audits analyzing crawlability, indexability, and Core Web Vitals to identify and resolve website performance issues.
MadAppGang
Defines tag-to-command routing rules for autopilot systems, including default mappings, precedence, and customization patterns.
MadAppGang
Provides XML structure patterns for Claude Code agents and commands to ensure compliance with Anthropic's best practices.
MadAppGang
Provides core architectural principles, stack overview, and project organization guidance for React 19 SPA development and onboarding.
MadAppGang
Provides expert guidance on email authentication, spam prevention, and troubleshooting to ensure high email deliverability rates.
MadAppGang
Provides type-safe, file-based routing configuration for React applications using TanStack Router, supporting route setup and navigation.
MadAppGang
Provides a reference for Apple Final Cut Pro's FCPXML format, detailing project structure, timeline, clips, effects, and transitions for project generation and analysis.
MadAppGang
Provides common agent patterns and templates for implementing Claude Code agents, including proxy mode, TodoWrite integration, and quality checks.
MadAppGang
Fetches trending AI models from OpenRouter, delivering IDs, context windows, pricing, and usage stats for coding-related model selection and trend analysis.
MadAppGang
Provides API integration patterns for Linear, including authentication, webhooks, issue CRUD, state transitions, and comment handling.
MadAppGang
Analyzes search engine results pages (SERP) to classify user intent, identify competitive features, and gather intelligence for content strategy development.
MadAppGang
Automates multi-agent code analysis by sharing a single claudemem output across parallel agents, enabling efficient parallel investigation and consensus.
MadAppGang
Automates tracking and management of multi-phase workflows, providing real-time progress visibility for complex task orchestration.
MadAppGang
Provides multi-perspective code analysis combining architectural, development, testing, and debugging viewpoints for deep audits and reviews.
MadAppGang
Executes parallel validation across multiple AI models (e.g., Grok, Gemini) for code review and consensus analysis with performance tracking.
MadAppGang
Analyzes code implementations, traces data flow, and locates definitions and usages using AST-based code tracing for efficient developer debugging and understanding.
MadAppGang
Automates generation of proof artifacts including screenshots, test results, and deployments for task validation with confidence scoring.
MadAppGang
Reference guide for PROXY_MODE configuration, detailing routing prefixes and integration with external AI models including MiniMax, Kimi, and GLM APIs.
MadAppGang
Provides reusable patterns for programmatically extracting analytics data from Google Analytics 4 and Google Search Console via their APIs.
MadAppGang
Provides prompting patterns and templates for UI design analysis using Gemini, supporting design reviews, accessibility audits, and design system validation.