Review a SQL query and its callers
Analyze query correctness, parameter handling, and result assumptions using the supplied schema.
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Analyze query correctness, parameter handling, and result assumptions using the supplied schema.
Draft migration requirements covering mixed versions, existing data, rollback, and validation.
Review a proposed schema change for data preservation and mixed-version application behavior.
Inspect parsing, row validation, duplicate handling, and atomicity for an import workflow.
Find missing values, inconsistent formats, duplicates, and questions that could invalidate results.
Match a chart to the question, data types, and comparison people need to make.
Understand a formula’s inputs, intermediate steps, assumptions, and possible failure cases.
Check a query’s joins, aggregation, null handling, and expected row counts.
Write a concise performance narrative that separates changes, explanations, and next steps.
Define a measurable hypothesis, comparison, and decision rule before collecting results.
Inspect dataset structure, missingness, duplication, and validity before analysis.
Review SQL grain, joins, aggregation, and null handling with concrete examples.
Analyze a supplied CSV with explicit assumptions and reproducible summaries.
Translate a hypothesis into an interpretable test with metrics and guardrails.
Overview of six AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.
Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.
Automate Amplitude tasks via Rube MCP (Composio): events, user activity, cohorts, user identification. Always search tools first for current schemas.
Analytics de produto — PostHog, Mixpanel, eventos, funnels, cohorts, retencao, north star metric, OKRs e dashboards de produto.
Design, audit, and improve analytics tracking systems that produce reliable, decision-ready data.
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.
Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.
Guide to selecting and optimizing embedding models for vector search applications.
Semantic search, similar content discovery, and structured research using Exa API. Use when you need semantic/embeddings-based search, finding similar content, or searching by category (company, people, research papers, etc.).
Deep web scraping, screenshots, PDF parsing, and website crawling using Firecrawl API. Use when you need deep content extraction from web pages, page interaction is required (clicking, scrolling, etc.), or you want screenshots or PDF parsing.
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