Best Analytics Skills

Use this when you need to find existing pages that already use a specific block in an AEM Edge Delivery Services project, for example to locate test content or examples during block development. Covers reporting page URLs with occurrence counts and block variants. This searches existing content; to

[BETA] Detect, review, and fix code-quality and correctness issues in an AEM as a Cloud Service project — locally, with no external services or network calls. Use whenever a user wants to check, review, assess, audit, scan, modernize, upgrade, or fix AEM Java, Sling Models, OSGi, or Maven code — for

Comprehensive dimension analysis and reporting for CJA. Use this skill whenever the user wants to analyze one or more dimensions — including cardinality, distribution/skew, trends, anomalies, data quality errors, comparisons, and forecasting. Also trigger when someone asks "what are the top values f

Audit the health of a PostHog project's materialized views (saved queries) — find every failed materialization and flag unused or stale materialized views that cost storage and compute. Use when the user asks "which of my views are broken?", "why is this materialized view failing?", "are any of my v

Signals scout that watches a project's most-viewed dashboards and insights for recent anomalies — bursts, drops, flat-lines, and trend breaks scored against each insight's own seasonality-matched baseline. Files each anomaly as a finished 1:1 inbox report on the report channel (emit_report / edit_re

Build a new dashboard, or update an existing one, from a set of insights — the same job the in-app assistant does with its upsert-dashboard tool, but over MCP. Use when a user asks to create a dashboard, put several metrics/charts together on one page, assemble a dashboard for a topic (product analy

Audit every endpoint in a PostHog project for staleness, failed materialisations, and unused materialised versions. Use when the user asks "what endpoints can I clean up?", "are any of my endpoints broken?", "which materialised versions are still being called?", or wants a one-shot cleanup pass over

Audit PostHog experiments and feature flags for configuration issues, staleness, and best-practice violations. Read when the user asks to audit, health-check, or review experiments or feature flags, check flag hygiene, or verify experiment setup.

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

Delivers a weekly briefing summarizing the most important trends, wins, and risks across your Amplitude instance. Use when the user asks for a "weekly review", "weekly summary", "week in review", "what happened this week", or wants a recap of the past 7 days to share with their team or leadership.

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 im

Finds and analyzes Amplitude Session Replays to surface UX friction patterns across multiple sessions. Produces a ranked friction map showing where users struggle, hesitate, or abandon. Use when a PM or designer asks "where's the friction", "what's confusing users", "UX issues on this page", "why is

Monitors AI agent health across quality, cost, performance, and errors. Only use when the user has Amplitude Agent Analytics instrumented in their project. Use when the user asks "how are our AI agents doing", "AI quality check", "agent health", "AI errors", "agent performance", "LLM cost", or wants

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.

Discovers product opportunities by analyzing Amplitude analytics, experiments, session replays, and customer feedback. Synthesizes evidence into prioritized, actionable opportunities with RICE scoring. Use when the user asks to "find opportunities", "what should we build", "where are we losing users

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.

Retrieves, synthesizes, and prioritizes all recent AI agent results from Amplitude. Queries every agent type available in get_agent_results, validates freshness, and produces a unified narrative ranked by impact. Use when the user asks "what has the AI found", "show me agent insights", "any AI findi

Source of truth for event taxonomy generation, data auditing, and governance best practices in Amplitude. Use when an agent needs to create, validate, audit, score, or recommend improvements to event tracking plans, naming conventions, property standards, data quality, or deprecation workflows. Cove

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.

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",

Instant sales analytics. Ask any performance question — emails, calls, meetings, tasks, opportunities, sequences, conversation intelligence — and get formatted tables with real Apollo data.

Signals scout for core product-analytics flows — funnels, retention, lifecycle, stickiness, and paths. Watches the team's saved flows for a derived-rate regression (conversion or retention sliding) while entrants hold, and files it as a report in the inbox.

Bulk reads, multi-page iteration, and analytics over Dataverse data. Use when the user wants to read, list, filter, aggregate, group, join, or analyze records — including pandas DataFrame workflows and notebook exploration.

Inspects PostHog Visual Review (VR) runs that gate PR merges with screenshot regression checks. Use when the user mentions "visual review", "VR", "snapshot diff", "screenshot test", "storybook regression", "playwright snapshot", asks why a PR is blocked or what changed visually, wants to triage the

Routes to Schedule of Investments, Co-Investor Lookup, or Performance Benchmarks. Trigger on any of: "SOI", "schedule of investments", "fund holdings", "what is the fund invested in", "portfolio breakdown", "co-investor", "coinvestor", "who co-invested", "who else invested", "co-investors by stage",

Unity Catalog metric views: define, create, query, and manage governed business metrics in YAML. Use when building standardized KPIs, revenue metrics, order analytics, or any reusable business metrics that need consistent definitions across teams and tools.

Focused Signals scout for PostHog projects importing external data into the warehouse. Watches the import side — external data sources, per-table sync schemas, webhook push channels, and materialized views — for the moments an import quietly stops keeping its promise: a source connection in Error, a

IDMP dashboard skill for listing dashboards, reading details, updating layout and order, templating stable dashboards, and keeping dashboard lifecycle separate from panel lifecycle.

IDMP panel build workflow. Resolve owner, reserve names, create panel objects, verify query and SQL output, place panels into dashboards, and clean up safely.

These skills are designed for data discovery and business intelligence.