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amplitude/builder-skills

Führt eine detaillierte Analyse eines bestimmten Amplitude-Charts durch, um Trends, Anomalien und wahrscheinliche Treiber zu erklären. Verwenden Sie dies, wenn eine Metrik ungewöhnlich aussieht, Sie einen Spitzen- oder Abfallwert untersuchen oder das „Warum“ hinter Zahlen verstehen möchten.

Was ist builder-skills?

Diese Fähigkeit ermöglicht eine gründliche, evidenzbasierte Analyse von Amplitude-Charts und hilft Entwicklern und Produktteams, die Ursachen unerwarteter Metrikänderungen zu verstehen. Sie unterstützt das Auffinden von Mustern wie Spitzen, Abfällen, Trends, Saisonalität oder Anomalien und verwendet eine strukturierte Methode, um die wahrscheinlichsten Treiber zu identifizieren, indem sie bis zu 9 hochsignifikante Ereigniseigenschaften segmentiert und Kontextdaten wie aktive Experimente, Deployments und Kundenfeedback im selben Zeitrahmen einbezieht. Die Fähigkeit arbeitet mit Amplitude-Charts, indem sie eine URL oder Chart-ID akzeptiert, die Chartdaten abruft und validiert, und eine umfassende Synthese mit klaren Hypothesen, unterstützenden Beweisen und umsetzbaren nächsten Schritten erstellt. Sie ist für Plattformen wie Claude Code, Cursor und andere KI-Agenten optimiert, die nativen Amplitude-Zugriff unterstützen, und folgt den Best Practices, um Beobachtungen von Hypothesen zu unterscheiden und Datenqualitätsprobleme zu vermerken.

Funktioniert mit~Claude Code~Codex CLI~Cursor
Part ofDesign & UI
npx skills add https://github.com/amplitude/builder-skills/tree/HEAD/analytics-skills/skills/analyze-chart
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Dokumentation

Chart Deep Dive

Verwendung

  • Eine Metrik ist unerwartet gestiegen oder gefallen
  • Sie müssen verstehen, was einen Trend antreibt
  • Vorbereitung einer detaillierten, evidenzbasierten Analyse für Stakeholder
  • Untersuchung von Unterschieden zwischen Benutzer- oder Ereignissegmenten

Anleitung

Schritt 0: Identifizieren Sie das Chart

  • Akzeptieren Sie eine Chart-URL oder Chart-ID vom Benutzer
  • Wenn der Benutzer eine URL bereitstellt, verwenden Sie Amplitude:getting_data_from_url, um die Chart-ID zu extrahieren
  • Wenn keine Chart-ID angegeben wird, fragen Sie explizit nach der Chart-URL oder -ID und stoppen Sie

Schritt 1: Chartdaten abrufen und validieren (Pflicht)

  • Verwenden Sie Reading chart data, um die Chartdefinition und Daten abzurufen
  • Wenn Chartdaten nicht abgerufen werden können oder leer sind, fahren Sie nicht fort
    • Erklären Sie, was fehlt (Zeitraum, Ereignis, Filter, Berechtigungen)
    • Bitten Sie den Benutzer, das Chart zu korrigieren oder ein gültiges Chart bereitzustellen

Erfassen und wiedergeben:

  • Gemessene Metrik
  • Zeitraum und Granularität
  • Charttyp (z. B. Zeitreihe, Trichter, Retention)
  • Vorhandene Filter, Segmente oder Aufschlüsselungen

Schritt 2: Muster und Änderungsfenster identifizieren

Verwenden Sie Analyzing chart, um zu charakterisieren, was passiert:

  • Spitze / Abfall: Plötzliche Änderung an bestimmten Daten
  • Trend: Allmählicher Anstieg oder Rückgang über die Zeit
  • Saisonalität: Wiederkehrende wöchentliche oder monatliche Muster
  • Anomalie: Abweichung von der jüngsten Baseline oder dem historischen Verhalten

Explizit identifizieren:

  • Das Änderungsfenster (Start/Ende)
  • Richtung und Größe der Änderung
  • Basiszeitraum, der für den Vergleich verwendet wird (Standard: vorheriger gleich langer Zeitraum)

Schritt 3: Wahrscheinliche Treiber untersuchen (begrenzt)

Statt breiter Aufschlüsselung verwenden Sie geführte Segmentierung:

  1. Verwenden Sie Finding the right event properties, um die relevantesten Eigenschaften zur Erklärung der Änderung zu identifizieren
  2. Wählen Sie bis zu 9 hochsignifikante Eigenschaften aus (z. B. Plattform, Land, Plan, Version)
  3. Führen Sie Analyzing chart mit diesen Eigenschaften erneut aus, um zu ermitteln:
    • Welche Segmente am meisten zur Änderung beitragen
    • Ob das Muster lokalisiert oder breit angelegt ist
    • Rufen Sie jeweils nur bis zu 3 Charts gleichzeitig ab, wenn Sie Amplitude:query_charts verwenden

Vermeiden Sie, insgesamt mehr als 9 Eigenschaften zu testen, es sei denn, der Benutzer bittet explizit um eine tiefere Untersuchung.

Schritt 4: Mit Kontext korrelieren (erforderlich bei Anomalien)

Bei Spitzen, Abfällen oder unerwarteten Verschiebungen sammeln Sie kontextuelle Signale im selben Zeitrahmen:

  • Verwenden Sie Getting experiments, um aktive Experimente oder Flags zu identifizieren
  • Verwenden Sie Getting deployments, um Releases oder Rollouts zu identifizieren
  • Verwenden Sie Searching for content, um Anmerkungen oder relevante Dokumentation zu finden
  • Verwenden Sie Amplitude:get_feedback_insights, um Trends im Kundenfeedback zu durchsuchen, die die Änderung erklären könnten
  • Verwenden Sie Amplitude:get_feedback_mentions, um spezifische Kundenaussagen abzurufen, wenn ein wahrscheinlicher Feedback-Trend mit dem zu Erklärenden zusammenhängt

Bestimmen Sie, ob kontextuelle Änderungen zeitlich mit dem Chartmuster übereinstimmen.

Schritt 5: Ergebnisse synthetisieren

Präsentieren Sie eine strukturierte, entscheidungsreife Analyse:

  1. Was ist passiert
    Klare Beschreibung des beobachteten Musters und der Größe

  2. Wann
    Genauer Zeitrahmen und Vergleichsbasis

  3. Primäre Hypothese
    Wahrscheinlichste Erklärung basierend auf Chartdaten und kontextuellen Signalen

  4. Unterstützende Beweise

    • Wichtige Metriken
    • Segmentbeiträge
    • Relevante Experimente, Deployments oder Anmerkungen

  5. Alternative Erklärungen
    1–3 plausible Alternativen und warum sie weniger wahrscheinlich sind

  6. Auswirkung
    Auswirkung nach Möglichkeit quantifizieren (Nutzer, Ereignisse, Conversion, Umsatzproxy)

  7. Empfohlener nächster Schritt
    Eine klare Folgeaktion (z. B. tieferes Segment, Experimentprüfung, Instrumentierungscheck)

Immer einschließen:

  • Chartname
  • Chart-ID
  • Link zurück zum Chart
  • Abdeckung (z. B. getestete Eigenschaften, analysierte Segmente)

Best Practices

  • Immer mit einer klaren Basisperiode vergleichen
  • Beobachtungen von Hypothesen unterscheiden
  • Hochsignifikante Segmentierung gegenüber erschöpfender Aufschlüsselung bevorzugen
  • Datenqualitätsprobleme notieren (niedriges Volumen, unvollständige Zeiträume, starke „(keine)“-Werte)
  • Keine Charts erstellen oder bearbeiten, es sei denn, der Benutzer bittet explizit darum

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

amplitude/builder-skills

Deeply analyze Amplitude dashboards by analyzing key charts, surfacing top areas for concern and takeaways, identify anomalies, then explain changes using customer feedback trends.

amplitude/builder-skills

Designs A/B tests with proper metrics and variants, analyzes running or completed experiments, and interprets results with statistical rigor. Use when setting up experiments, checking experiment status, analyzing results, or making ship decisions.

amplitude/builder-skills

Synthesizes customer feedback into actionable themes including feature requests, bugs, pain points, and praise. Use when planning product roadmap, understanding user sentiment, investigating specific issues, or preparing voice-of-customer reports.

amplitude/builder-skills

Analyze MCP server usage instrumented with Amplitude's MCP Analytics SDK: break usage and errors down by tool, read the rationales within each tool to see what callers are trying to do, and produce a prioritized write-up of actionable fixes. Use this skill whenever the user asks to understand how their MCP server is being used, what agents/users are trying to do with it, why tool calls are failing, what to fix or improve in their MCP server, or asks for an "MCP usage report", "tool error analysis", "intent analysis", "rationale clustering", or "MCP insights". Also trigger when the user mentions [MCP]-prefixed events, tool rationale, tool call errors, or just finished instrumenting their MCP server and wants to see what the data says. Requires the Amplitude MCP connector.

amplitude/builder-skills

Read lost deals and churned accounts from your CRM, extract reasons clustered by theme (missing features, pricing, competitors, UX), and write a prioritized weekly analysis with product improvement recommendations. Use before roadmap planning or to build the case for prioritizing retention work.

amplitude/builder-skills

Creates Amplitude charts from natural language descriptions, handling event selection, filters, groupings, and visualization choices. Use when you know what you want to measure but prefer not to build the chart manually.

amplitude/builder-skills

Guide an Amplitude user through building a custom agent by suggesting use cases grounded in their role and data, shaping the idea into a well-formed spec, and generating a ready-to-run Global Agent deeplink that creates it. Use to create, build, or set up a custom agent, automate a recurring analysis, or put a repeated report on a schedule.

amplitude/builder-skills

Builds comprehensive Amplitude dashboards from requirements or goals, organizing charts into logical sections with appropriate layouts. Use when creating a complete dashboard from scratch or assembling existing charts into a cohesive view.

amplitude/builder-skills

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.

amplitude/builder-skills

Pull Intercom tickets and Slack support messages from the past 7 days, classify each signal, enrich with CRM data (ARR, plan, renewal), score by customer value and churn risk, and output a tiered priority report saved to Drive. Use when you need a fast, data-driven view of what support signals matter most.

amplitude/builder-skills

Use this skill whenever a user wants to improve existing pages on their website to get cited more by AI models — whether they say "our pages aren't getting cited", "improve this page for AI visibility", "which of our pages should we update", "make this article more cite-worthy", "our competitors are getting cited instead of us", "update our content for AI search", or any variation where the goal is improving an existing asset rather than creating something new. This skill pulls owned pages from AI Visibility, identifies which ones have citation potential but are underperforming, compares them against the external pages that are winning citations on the same topics, and produces section-level rewrites or a full-page update — then pushes the revision to the CMS as a draft. Trigger even if the user just says "help me get cited more" or "why is [competitor] getting cited instead of us".

amplitude/builder-skills

Use this skill whenever a user wants to win AI citations on prompts that competitors currently dominate — whether they say "competitors are getting cited instead of us", "we're losing on these prompts", "how do I outrank [competitor] in AI answers", "find prompts where we should be winning", "create content to beat [competitor]", or any variation where the goal is capturing AI share on prompts a competitor currently owns. This skill pulls competitor visibility data from AI Visibility, identifies the specific prompts where competitors win and Amplitude is absent, clusters them by intent, and produces targeted comparison pages, alternatives content, or rebuttal assets — then pushes drafts to CMS. Trigger on any mention of competitor, prompt hijack, outrank, or "why is [competitor] getting cited instead of us".

amplitude/builder-skills

Use this skill whenever a user wants to turn AI Visibility data into published content — whether they say "find content gaps", "what should we write about", "which topics have low visibility", "help me get cited by AI models", "create a blog post from our AI Visibility gaps", "we're losing to competitors on these prompts", or any variation where they want to go from AI visibility weakness to a draft article, landing page, or FAQ. This skill connects directly to Amplitude AI Visibility data (topics, prompts, visibility scores, citations, competitor data, full LLM responses and sources) and produces a publish-ready content brief plus full article draft. If the user mentions CMS (WordPress, Webflow, Contentful, Sanity, HubSpot, Ghost, Shopify), also trigger this skill to push the draft directly. Trigger even if they just say something vague like "what content should we create?" in an AI Visibility context.

amplitude/builder-skills

Use this skill whenever a user wants to test content variants before publishing to find which one will get cited most by AI models — whether they say "which version of this content will perform better", "test this article before we publish", "simulate how AI will respond to this content", "which angle should we use", "generate content variants and pick the winner", "run a simulation before publishing", or any variation where the goal is data-driven content selection rather than gut-feel publishing. This skill takes an identified content opportunity, generates 2–3 distinct variants with different angles or structures, scores them against actual AI model responses from AI Visibility, references the Simulate Changes feature for pre-publish validation, and produces a clear recommendation on which variant to publish — then pushes the winner to CMS. Trigger on any mention of "simulate", "test variants", "which performs better", "A/B content", or "before we publish".

amplitude/builder-skills

Use this skill whenever a user wants to understand which external sources are being cited by AI models on topics relevant to their brand, and wants to create content that will outrank those sources — whether they say "what sources are AI models citing", "why is [third-party site] being cited instead of us", "we want to be the definitive source on X", "build something that gets cited more than G2 or TechRadar", "create an authoritative asset", or any variation where the goal is producing a new reference asset (definition page, benchmark, methodology, glossary, comparison hub) designed to beat existing top-cited sources. This skill analyzes AI Visibility source data, reverse-engineers what makes top-cited pages authoritative, and produces a superior source asset — then pushes it to CMS as a draft. Trigger on any mention of "sources", "third-party citations", "authoritative content", "definitional pages", or "outrank".

amplitude/builder-skills

Instrument a Node/TypeScript MCP server with Amplitude's @amplitude/mcp-analytics SDK so tool calls, sessions, and rationale are tracked as Amplitude events. Use this skill whenever the user wants to add Amplitude analytics to their MCP server, mentions "MCP Analytics", "@amplitude/mcp-analytics", "instrument my MCP server", "track MCP tool calls", "add rationale to my MCP tools", or wants agent traffic (Claude, Cursor, ChatGPT) attributed back to Amplitude. Also use for adding UTM tagging to MCP-returned links, or for troubleshooting identity/user_id mismatches between MCP events and web/mobile Amplitude data.

amplitude/builder-skills

Instruments a pull request with Amplitude analytics that conform to the project's existing taxonomy. Reads the tracking plan via the Amplitude MCP server (events, properties, naming conventions), analyzes the PR diff to find the few user actions genuinely worth tracking, detects the codebase's SDK and tracking patterns, and adds instrumentation that matches both. Optionally (opt-in) stages new events and properties on an Amplitude tracking-plan branch for data-governance review. Use when asked to "instrument this PR", "add analytics to this change", "add tracking", "add Amplitude events", "instrument this feature", or "what should I track here".

amplitude/builder-skills

Diagnoses product health by cross-referencing Amplitude analytics (dashboards, charts, funnels, feedback, AI agent analytics), optionally Datadog (errors, latency, stack traces), and optionally Slack (qualitative feedback, bug reports, feature requests). Identifies what's broken, what's working, and what to do about it — with root causes, not just symptoms. Use when asked to "diagnose my product", "what's going on", "product health check", "what's broken", "where are users struggling", "give me a product diagnosis", or "what should I focus on".

amplitude/builder-skills

Turn one or more meeting transcripts, notes, or Slack threads into concise takeaways and clear action items with DRIs. Works with a single meeting or a batch from the whole week.

amplitude/builder-skills

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.

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