7 plugins, each analyzed from its own files.
This agent analyzes user feedback from multiple sources to identify patterns, complaints, and requests, then synthesizes insights and prioritizes features based on aggregated user input. It transforms raw feedback into actionable product intelligence for development teams.
This agent helps optimize app store listings by researching keywords, improving metadata, and maximizing organic visibility to increase downloads. It analyzes app store performance and provides guidance on conversion rate optimization for app launches.
This agent analyzes metrics and performance data to generate actionable insights for studio growth and optimization. It transforms raw analytics into data-driven recommendations that support strategic decision-making.
This plugin provides a data analysis expert agent that specializes in SQL queries, BigQuery operations, and generating data insights from existing datasets. It operates proactively to assist with data analysis tasks without requiring external API keys or tools.
This agent optimizes database performance for B2B and SaaS applications, specializing in query tuning, indexing strategies, connection pooling, and scaling for PostgreSQL, MySQL, MongoDB, and cloud databases. It provides enterprise-grade multi-tenant database optimization without requiring external API keys or services.
This agent helps manage budgets, optimize costs, forecast revenue, and analyze financial performance by transforming raw financial data into strategic clarity for studio resource allocation. It provides tools to track spending, plan quarterly budgets, and ensure resources generate maximum return on investment.
The experiment-tracker agent automatically monitors and documents A/B tests, feature experiments, and iterative improvements throughout the development cycle. It captures metrics, triggers on experimental code changes, and supports data-driven product decisions from feature flag introduction through deployment and analysis.