Browse plugins

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 plugin provides market research skills for product managers, including tools to analyze competitors, build user personas, segment customers, and perform sentiment analysis on feedback. It offers three commands to conduct competitive analysis, analyze user feedback at scale, and run comprehensive user research with persona building and customer journey mapping.

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 equips product managers with SQL query generation and cohort analysis skills to extract insights from user data. It provides three main capabilities: generating SQL queries from natural language descriptions, performing cohort analysis to identify retention patterns and engagement trends, and analyzing A/B test results with statistical rigor.

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 plugin queries the ccrecall database to surface Claude Code usage metrics including token consumption, session counts, and thinking block statistics. It enables developers to monitor and analyze their coding AI utilization patterns directly from their workspace.

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 skill teaches Claude Code agents when and how to use structured data tools (jq, yq, dasel, qsv, mlr) instead of fragile text processing for JSON, YAML, TOML, XML, CSV, and JSONL formats. It includes comprehensive cookbooks and patterns to avoid common antipatterns like grep/sed/awk on structured data.

This skill teaches Claude how to query, index, and manage Elasticsearch clusters via curl and REST APIs, covering search, aggregations, ES|QL, index management, and cluster operations. It includes comprehensive markdown references for Query DSL, document CRUD, bulk operations, Kibana dashboards, and OpenTelemetry data correlation — all without requiring an SDK or MCP server.

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.