ClaudeSuperPower

monitor-experiments

Skill

Monitors all active and recently completed experiments across Amplitude projects, triages them by importance, then runs deep analysis and reporting on the most impactful ones. Use when the user asks to "check on experiments", "experiment status", "experiment review", "what experiments are running",

Install

git clone https://github.com/amplitude/mcp-marketplace.git ~/.claude/skills/monitor-experiments

What is monitor-experiments?

Monitors all active and recently completed experiments across Amplitude projects, triages them by importance, then runs deep analysis and reporting on the most impactful ones. Use when the user asks to "check on experiments", "experiment status", "experiment review", "what experiments are running", or wants a periodic experiment health report.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~86 tokens of context used while enabled, before you invoke anything

Trust

83/100 · Excellent

2 factors scored below maximum

Documentation

README · ~9 min read

Experiment Monitor & Report Generator

Scan active and recently completed experiments, surface what needs attention, and report on the ones that matter.

This is a monitoring skill — keep output accessible to non-experts. Avoid statistical jargon (no p-values, no power analysis). For deep-dive analysis of a specific experiment, use the analyze-experiments skill instead.


CRITICAL: Managing Response Sizes

  1. get_experiments: 3-5 IDs max per call. Filter using search results BEFORE fetching.
  2. query_experiment responses are large. Extract only summary objects and validity flags. Ignore timeseries, xValues, bulk arrays.
  3. Metric name resolution: search does NOT match metric IDs in queries. Search with entityTypes: ["METRIC"], empty queries, limitPerQuery: 50, scoped to project. Match IDs from results.

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