Help us improve
Share bugs, ideas, or general feedback.
Share bugs, ideas, or general feedback.
Share bugs, ideas, or general feedback.
By amplitude
Turn product and engineering data into actionable insights: instrument analytics from code changes, analyze A/B tests, sessions, replays, and dashboards, triage errors, surface UX friction, and monitor AI agent health — all through Amplitude.
npx claudepluginhub amplitude/mcp-marketplace --plugin amplitudeEnd-to-end analytics instrumentation workflow for a PR, branch, file, directory, or feature. Reads the code, discovers what events should be tracked, and produces a concrete instrumentation plan — all in one shot. Use this skill whenever a user wants to add analytics to a PR, asks "instrument this PR", "add tracking to this branch", "what analytics does this file need", "instrument the checkout flow", "run the full instrumentation workflow", or any request that implies going from code changes to a tracking plan. Also trigger when the user gives you a PR link, branch name, file path, or feature description and mentions analytics, events, or instrumentation. This is the main entry point for the analytics workflow — prefer it over calling the individual steps (diff-intake, discover-event-surfaces, instrument-events) separately.
Summarizes B2B account health by analyzing usage patterns, engagement trends, risk signals, and expansion opportunities. Use for customer success reviews, renewal preparation, QBRs, or account prioritization.
Analyzes what users ask AI agents about and how well each topic is served. Only use when the user has Amplitude Agent Analytics instrumented in their project. Use when the user asks "what are people asking the AI", "top AI topics", "where is the AI struggling", "AI coverage gaps", "what should we improve in our AI", or wants product insights from AI conversation patterns.
Performs deep analysis of a specific Amplitude chart to explain trends, anomalies, and likely drivers. Use when a metric looks unusual, investigating a spike or drop, or understanding the "why" behind numbers.
Deeply analyze Amplitude dashboards by analyzing key charts, surfacing top areas for concern and takeaways, identify anomalies, then explain changes using customer feedback trends
External network access
Connects to servers outside your machine
Share bugs, ideas, or general feedback.
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge.
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge.
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Amplitude-powered analytics skills — analyze dashboards, charts, experiments, feedback, and account health with AI.
Access PostHog analytics, feature flags, experiments, error tracking, and insights directly from Claude Code. Optionally capture Claude Code sessions to PostHog LLM Analytics.
Data & metrics skills: Data Analysis Standard, Retention Analysis, Product Health Analysis. Structure metric deep-dives, funnel analysis, cohort studies and churn investigations.
Data analytics skills for PMs: SQL query generation and cohort analysis. Analyze user data, generate queries, and identify retention patterns.
Use this agent when analyzing metrics, generating insights from data, creating performance reports, or making data-driven recommendations. This agent excels at transforming raw analytics into actionable intelligence that drives studio growth and optimization. Examples:\n\n<example>\nContext: Monthly performance review needed
AI agent skills that make SaaS products data-ready for product analytics — from codebase scan to tracking plan to working instrumentation code.
Growth skills — activation analysis, retention strategies, funnel optimization, and go-to-market planning.
Launch skills — plan, message, and execute product launches at any scale, from major products to incremental improvements.
Product management skills — turn messy ideas into specs, design experiments, synthesize research, and draft readouts.
Amplitude-powered analytics skills — analyze dashboards, charts, experiments, feedback, and account health with AI.
Execution skills — briefings, meeting processing, stakeholder comms, and idea stress-testing to keep you sharp.
Official Amplitude plugin for AI coding tools. Turn your AI assistant into a product analyst — instrument analytics, analyze charts, run experiments, and understand users directly from your editor.
Works with Claude Code, Cursor, Codex, Gemini CLI, and Claude.
claude plugin install amplitude
Or from inside Claude Code:
/plugin install amplitude
/reload-plugins
Then authenticate when prompted.
Install from the Cursor Marketplace or add manually in Cursor Settings > Plugins.
Add the marketplace:
codex plugin marketplace add amplitude/mcp-marketplace
Install the plugin from inside Codex:
codex
# Then run /plugins, select Amplitude, and install
/plugins
gemini extensions install https://github.com/amplitude/mcp-marketplace
To work on the plugin from a local checkout in Claude Code:
git clone https://github.com/amplitude/mcp-marketplace
claude --plugin-dir ./mcp-marketplace/plugins/amplitude
Then run /mcp from inside Claude Code, select plugin:amplitude:amplitude, and follow the browser prompts to authenticate.
| Plugin | Description |
|---|---|
| amplitude | Reusable analysis and instrumentation skills covering charts, dashboards, experiments, session replays, reliability, AI agent analytics, and analytics tracking workflows |
The amplitude plugin turns your AI assistant into an expert product analyst and instrumentation partner. Skills are organized into seven areas:
| Skill | What it does |
|---|---|
create-chart | Creates Amplitude charts from natural language descriptions |
create-dashboard | Builds dashboards from requirements, organizing charts into logical sections |
analyze-chart | Deep-dives a chart to explain trends, anomalies, and likely drivers |
analyze-dashboard | Reviews a dashboard end-to-end, surfacing key takeaways and areas of concern |
| Skill | What it does |
|---|---|
analyze-experiment | Designs A/B tests, monitors running experiments, and interprets results |
monitor-experiments | Triages all active and recently completed experiments by importance |
analyze-feedback | Synthesizes customer feedback into themes — feature requests, bugs, pain points, praise |
analyze-account-health | Summarizes B2B account health with usage patterns, risk signals, and expansion opportunities |
discover-opportunities | Finds product opportunities by cross-referencing analytics, experiments, replays, and feedback |
compare-user-journeys | Compares two user groups side-by-side to surface behavioral differences |
| Skill | What it does |
|---|---|
debug-replay | Turns bug reports into numbered reproduction steps by extracting the interaction timeline from Session Replay |
replay-ux-audit | Watches multiple session replays for a flow and synthesizes a ranked friction map |
diagnose-errors | Triages product issues across network failures, JS errors, and error clicks |
monitor-reliability | Proactive reliability report from auto-captured error data so issues surface before users complain |
| Skill | What it does |
|---|---|
analyze-ai-topics | Analyzes what users ask AI agents about and how well each topic is served |
investigate-ai-session | Deep-dives specific AI agent sessions or failure patterns for root-cause analysis |
monitor-ai-quality | Delivers a proactive health report on AI agents covering quality, cost, performance, and errors |
review-agent-insights | Synthesizes recent results from Amplitude's AI agents into a unified, impact-ranked narrative |
| Skill | What it does |
|---|---|
diff-intake | Reads a PR or branch diff and outputs a structured change_brief YAML for downstream skills |
discover-event-surfaces | From a change brief, lists candidate analytics events for PM prioritization |
discover-analytics-patterns | Maps how analytics is already implemented in the repo (SDK calls, naming, imports) |
instrument-events | From prioritized event candidates, builds a concrete instrumentation plan and JSON tracking plan |
add-analytics-instrumentation | End-to-end workflow — reads code, decides what to track, and produces a full instrumentation plan in one pass |
taxonomy | Source of truth for event taxonomy generation, data auditing, and governance best practices |
A typical flow: diff-intake → discover-event-surfaces → instrument-events, with discover-analytics-patterns ensuring new tracking matches existing conventions.