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amplitude/builder-skills

Analise profundamente dashboards do Amplitude, examinando gráficos-chave, identificando principais áreas de preocupação e insights, detectando anomalias e explicando mudanças com base em tendências de feedback de clientes.

O que é builder-skills?

Esta skill capacita agentes de IA a realizarem análises profundas de dashboards no Amplitude, conectando métricas quantitativas a feedback qualitativo de usuários. Ela automatiza a síntese de painéis complexos em resumos acionáveis, detecta padrões entre gráficos e explica anomalias com insights de feedback. Suportada por ferramentas como `get_dashboard`, `query_charts`, `get_feedback_insights` e `get_feedback_mentions`, a skill prioriza gráficos de KPI, séries temporais, funis e tabelas, gerando recomendações priorizadas (p0 a p3). Ideal para preparação de reuniões, investigação de variações em métricas e onboarding em dashboards desconhecidos, ela garante respostas concisas e baseadas em dados, evitando ruídos e inferências de dados incompletos.

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Documentação

Analisar Dashboard

Quando Usar

  • Preparação para reuniões: Sintetize um dashboard em pontos de discussão antes de uma revisão ou reunião executiva
  • Detecção de padrões entre gráficos: Identifique correlações em vários gráficos que são difíceis de ver manualmente
  • Investigação de dashboard: Uma métrica principal mudou em um gráfico dentro deste dashboard e você quer explicar o motivo
  • Conectar quantitativo ao qualitativo: Entenda se o feedback do usuário explica as tendências que você está vendo
  • Onboarding em dashboards desconhecidos: Atualize-se sobre o que um dashboard monitora e seu estado atual

Instruções

Etapa 0: Identificar o ID do Dashboard

Se o usuário fornecer uma URL, use Amplitude:getting_data_from_url para obter o ID do dashboard

Etapa 1: Recuperar o Dashboard

Use Amplitude:get_dashboard com o ID do dashboard para obter a estrutura completa e os IDs dos gráficos.

Etapa 2: Consultar Todos os Gráficos

Use Amplitude:query_charts para buscar dados de até 3 gráficos por vez. Priorize:

  1. Gráficos de KPI principais (geralmente no topo)
  2. Gráficos com mudanças recentes
  3. Visualizações baseadas em tendências

Etapa 3: Analisar Padrões

Ao analisar gráficos, foque nos sinais mais relevantes para decisão de cada tipo:

  • Blocos de KPI: Contexto (período de tempo, tipo de usuário) e % de variação, se exibido.
  • Linha / Série temporal: Tendências, mudanças de inclinação ou eventos notáveis (não ruído na borda direita).
  • Funil: Principais pontos de queda ou retenção inesperada. Use enquadramento de conversão (barras sólidas), não de abandono, a menos que explicitamente relevante.
  • Barra / Categórico: Concentrações, lacunas ou distribuições surpreendentes.
  • Área empilhada: Mudanças no volume total e na composição ao longo do tempo.
  • Retenção por intervalo: Compare segmentos em intervalos-chave (Dia 1, Dia 7, Dia 30).
  • Retenção ao longo do tempo: Coortes recentes podem mostrar períodos incompletos (linhas pontilhadas) porque ainda não completaram a janela de retenção — isso NÃO significa que a retenção está diminuindo.
  • Tabelas: Maiores contribuidores, players dominantes, desequilíbrios de distribuição.

Etapa 4: Contextualizar com Feedback do Usuário (Opcional)

Se mudanças significativas ou anomalias forem detectadas, verifique se o feedback do usuário pode explicá-las:

  1. Use Amplitude:get_feedback_insights com:

    • O mesmo projectId do dashboard
    • dateStart e dateEnd correspondentes ao período de análise
    • Filtrar por tipos relevantes: request, complaint, lovedFeature, bug, painPoint

  2. Procure por temas de feedback que se correlacionam com mudanças nas métricas:

    • Reclamações sobre funcionalidades alinhadas com quedas de engajamento
    • Relatos de bugs coincidindo com quedas de conversão
    • Funcionalidades amadas correspondendo a aumentos de uso

  3. Se um insight relevante for encontrado, use Amplitude:get_feedback_mentions com o insightId para obter citações específicas de usuários que ilustrem o padrão.

Pule esta etapa se:

  • Nenhuma fonte de feedback estiver configurada para o projeto
  • Nenhum insight corresponder ao período de tempo ou às mudanças observadas
  • As mudanças no dashboard forem menores ou esperadas

Etapa 5: Sintetizar Descobertas

Apresente um resumo estruturado:

  1. Saúde Geral: Frase concisa, acionável e facilmente compreensível com o PRINCIPAL insight ou conjunto de insights-chave da análise do dashboard.
  2. Áreas de Preocupação 🚩: Principais 1-3 problemas urgentes que merecem investigação ou tendências negativas de métricas. Se nenhum problema for urgente, é bom reconhecer concisamente que não há áreas urgentes de preocupação para que o leitor tenha menos ruído para filtrar.
  3. Principais Insights 💡: Principais 1-3 insights mais importantes ou surpreendentes da análise que não estão incluídos nas áreas de preocupação.
  4. Recomendações: Seção muito concisa recapitulando até as 3 principais recomendações acionáveis específicas (a menos que solicitado de outra forma) para dar seguimento. Inclua [p0],[p1],[p2],[p3] na frente de cada título para ajudar a dimensionar a prioridade, sendo p0 o mais urgente e p3 o menos.

Melhores Práticas

  • Seja abrangente em sua investigação e análise, mas conciso, acionável e baseado em métricas em sua resposta.
  • Não repita o mesmo insight várias vezes entre as seções.
  • Sempre vincule os gráficos referenciados usando markdown (ex.: [DAU](https://app.amplitude.com/...)). No modo terminal, não compartilhe suas fontes para manter a resposta limpa, mas se especificamente perguntado, agrupe todas as referências e links em uma seção "Fontes" no final, no mesmo formato markdown (ex.: [DAU e principal insight onde a métrica é referenciada](https://app.amplitude.com/...)) para manter a resposta principal limpa.
  • Não cite links exatos completos do Amplitude nas seções principais. Em vez disso, faça referência concisa ao nome do gráfico, métrica ou entidade para facilitar a leitura das seções principais.
  • Sinalize métricas que mudaram mais de 10% semana a semana
  • Observe quaisquer gráficos com problemas de qualidade de dados
  • Sempre atribua descobertas a gráficos específicos quando possível
  • Para a seção de Recomendações, cada recomendação deve ser apenas 1 tópico conciso e acionável, em vez de uma longa visão geral temática
  • Não recapitule o que você fez no final; apenas termine após as recomendações priorizadas concisas
  • Não infira tendências a partir de períodos incompletos ou dados não confiáveis

Individual skills in this repo

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

amplitude/builder-skills

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.

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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