Best Data & Analytics plugins for Claude Code

This plugin provides an MCP server interface to Google Cloud's observability suite, enabling access to logs, metrics, and traces through Claude. It bundles best practices for monitoring and troubleshooting applications running on Google Cloud Platform.

This plugin integrates the PageRangers SEO Monitoring API into AI assistants, enabling keyword analysis, ranking tracking, and KPI queries through a Python-based skill. It runs on user prompt submission and requires local credentials (API token and project hash) to access PageRangers data.

This plugin hooks into Claude Code's session start and user prompt submission events to capture usage metrics, rejections, and session statistics. It collects telemetry data and displays it in a unified dashboard for monitoring plugin performance and user behavior patterns.

This skill teaches Claude Code agents when and how to use dedicated structured data tools (jq, yq, dasel, qsv, mlr) instead of fragile text processing on JSON, YAML, TOML, XML, CSV, and JSONL formats. It includes a PreToolUse hook that guides tool selection and provides comprehensive cookbooks for each tool's patterns and use cases.

The NotFair Plugin provides 45 open-source marketing and analytics skills for AI agents, enabling SEO audits, GEO optimization, and cross-channel ad management across Google, Meta, X, and LinkedIn platforms. It connects agents to live Google Search Console and GA4 data while maintaining safety through read-only review workflows and explicit change approvals.

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 Claude Code plugin provides 12 integrated skills for managing the full demand-generation funnel, covering organic and paid acquisition, conversion optimization, measurement, experimentation, lifecycle messaging, and distribution. It enables marketers to implement end-to-end campaigns without external API dependencies or third-party service integrations.

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 OpenObserve search and dashboard-building capabilities through a single skill interface, enabling queries of logs, metrics, and traces via curl commands. It integrates with OpenObserve instances to retrieve observability data and construct dashboards programmatically.

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 plugin provides seven skills for implementing data governance, warehouse design, semantic modeling, business intelligence, and AI/ML governance practices. It helps teams structure and manage data assets across analytics and machine learning workflows without requiring external integrations.

This plugin provides 7 official MongoDB skills covering schema design, query tuning, and search optimization. It integrates directly with Claude to assist developers in building and optimizing MongoDB applications without requiring external API keys or tools.

This Claude Code plugin provides six skills for corporate strategy work, including portfolio strategy, corporate development, strategic alliances, and scenario planning analysis. It operates entirely within Claude without requiring external APIs or third-party services.

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 Claude Code plugin provides 13 skills for financial modeling, budgeting, forecasting, and unit economics analysis. It enables financial decision support through integrated calculations and analysis tools 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.