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dbt Core/Cloud data transformations, testing, documentation, and CI/CD. Activate on: dbt, data transformation, analytics engineering, ref, source, staging model, mart, dbt test. NOT for: orchestration/scheduling (use airflow-dag-orchestrator), data warehouse tuning (use data-warehouse-optimizer).
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Analytics de produto — PostHog, Mixpanel, eventos, funnels, cohorts, retencao, north star metric, OKRs e dashboards de produto.
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Query Google Analytics 4 (GA4) data via the Analytics Data API. Use when you need to pull website analytics like top pages, traffic sources, user counts, sessions, conversions, or any GA4 metrics/dimensions. Supports custom date ranges and filtering.
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Helps design ClickHouse tables, write analytical queries, and improve slow queries. Covers loading data in batches, preparing reusable summaries, and monitoring performance for large datasets, real-time dashboards, and time-series analysis.
Build a single HTML dashboard for comparing metrics across social platforms. Include interactive charts, point details, selected-period comparisons, and light or dark themes, while adapting colors, typography, and components to an existing design guide.
Build an HTML dashboard for a public GitHub repository, showing stars, forks, contributors, issues, pull requests, and recent activity. Choose a standalone page or source files that support updates and record where the data came from.
Review forms, API requests, and browser storage to find personal data that no active feature needs. Identify unnecessary collection, suggest removal or anonymisation, and check analytics and logs for exposed personal identifiers and missing retention periods.
Set up and troubleshoot website conversion tracking for leads and purchases. Check that events represent confirmed success, prevent duplicate counts, and verify that conversions actually reach advertising or analytics platforms.
Plan A/B tests to compare page changes using clear hypotheses and meaningful measures. The skill helps define sample size, duration, traffic allocation, and result interpretation, and organize a continuing program of prioritized experiments.
Assess how marketing channels contribute to conversions and revenue. Compare attribution models, which assign credit to customer interactions, reconcile conflicting reports, and design first-party tracking that connects browsing history to bookings or purchases.
Analyze endpoint, cloud storage, and email logs for signs of insider data theft. Use pandas to compare upload volumes with normal user behavior and examine data loss prevention alerts, unusual file access, and activity outside working hours.
Analyze authentication logs to spot suspicious sign-ins, password attacks, and possible account compromise. Statistical baselines and machine learning help compare login activity with normal user behavior, while example SIEM queries support security investigations.
Build or tune a monitoring pipeline that learns normal user behavior from activity logs. Use Elasticsearch or OpenSearch to score unusual activity, compare colleagues in similar roles, and combine warning signs into insider threat alerts.
Investigate suspicious Azure activity by querying administrative and sign-in logs. Create KQL queries, Azure's log search language, to examine role assignments, resource changes, unusual access, and other signals for cloud security monitoring.
Analyze access logs from AWS S3, GCS, and Azure Blob Storage to spot unusual downloads, unfamiliar IP addresses, and request spikes. Compare activity with normal patterns and prioritize findings for suspected data theft investigations.
Plan A/B tests that compare page or product changes, with clear hypotheses, sample sizes, success metrics, and traffic allocation. Get a structured test plan and guidance for interpreting results and deciding what to try next.
Find the right specialist skill for a marketing question, coordinate content, SEO, advertising, and analytics tasks, or review gaps across current activities. Get recommended next steps or a campaign plan with a sequence and timeline.
Coordinate project delivery by routing requests to eight specialist skills or running a verified delivery workflow. Use live Jira data for progress analysis and completion forecasts, with recorded evidence and checks before tasks are closed.
Plan A/B tests that compare page variations, from headlines to pricing layouts. Define a hypothesis, choose success metrics, calculate sample size and duration, and prepare launch checks and results reports to support decisions.
Plan a game season or limited-time event across content, story, rewards, pricing, measurement, and player communication. Coordinate role-based agents to produce a season design, analytics plan, and communication calendar for production.
Gather usage, performance, and error data from configured sources for a chosen time window. Produce a compact, saved product report with followup actions, and show its headlines in chat to support regular reviews of product activity.
Develop time-series and event-data solutions with TimescaleDB, an extension for PostgreSQL. The skill provides organized references for installation, time-based tables, ongoing aggregate calculations, compression, and performance troubleshooting.
Use Google's APIs to review search performance, page speed, indexing status, and organic traffic. Combine real visitor measurements with search and analytics data to identify SEO issues and create reports.
Use defined customer and order tables to build sales analysis queries with consistent business rules. Calculate revenue from completed orders, rank customers by spending, and identify high-value orders using the supplied thresholds and SQL example.