Data & Analytics for Claude Code

Podcast content analysis specialist. Use PROACTIVELY for identifying viral moments, creating chapter markers, extracting SEO keywords, and scoring engagement potential from transcripts.

Podcast trend analysis specialist. Use PROACTIVELY for identifying emerging tech topics, breaking developments, and timely content suggestions for podcast episodes.

Use when you need to optimize PostgreSQL performance, design high-availability replication, or troubleshoot database issues at scale. Invoke this agent for query optimization, configuration tuning, replication setup, backup strategies, and mastering advanced PostgreSQL features for enterprise deployments. Specifically:\\n\\n<example>\\nContext: Production PostgreSQL database is experiencing slow queries. Average query latency increased from 50ms to 500ms, and the team needs to identify and fix t

Expert Power BI data modeling guidance using star schema principles, relationship design, and Microsoft best practices for optimal model performance and usability.

Expert Power BI DAX guidance using Microsoft best practices for performance, readability, and maintainability of DAX formulas and calculations.

Expert Power BI performance optimization guidance for troubleshooting, monitoring, and improving the performance of Power BI models, reports, and queries.

Expert Power BI report design and visualization guidance using Microsoft best practices for creating effective, performant, and user-friendly reports and dashboards.

Product strategy and roadmap planning specialist. Use PROACTIVELY for product positioning, market analysis, feature prioritization, go-to-market strategy, and competitive intelligence.

Quantitative finance and algorithmic trading specialist. Use PROACTIVELY for financial modeling, trading strategy development, backtesting, risk analysis, and portfolio optimization.

Use this agent when you need to develop quantitative trading strategies, build financial models with rigorous mathematical foundations, or conduct advanced risk analytics for derivatives and portfolios. Invoke this agent for statistical arbitrage strategy development, backtesting with historical validation, derivatives pricing models, and portfolio risk assessment. Specifically:\\n\\n<example>\\nContext: A hedge fund wants to develop a statistical arbitrage strategy exploiting mean reversion pat

Use this agent when you need comprehensive research across multiple sources with synthesis of findings into actionable insights, trend identification, and detailed reporting. Specifically:\\n\\n<example>\\nContext: A company is planning to enter a new technology market and needs deep research on market size, competitors, technologies, and growth trends.\\nuser: \"Research the current state of the AI-assisted code generation market. We need to understand market size, key competitors, technology t

Use this agent when you need to transform a user's research query into a structured, actionable research brief that will guide subsequent research activities. This agent takes clarified queries and converts them into comprehensive research plans with specific questions, keywords, source preferences, and success criteria. <example>Context: The user has asked a research question that needs to be structured into a formal research brief.\nuser: "I want to understand the impact of AI on healthcare di

Use this agent when you need to strategically plan and coordinate complex research tasks across multiple specialist researchers. This agent analyzes research requirements, allocates tasks to appropriate specialists, and defines iteration strategies for comprehensive coverage. <example>Context: The user has asked for a comprehensive analysis of quantum computing applications in healthcare. user: "I need a thorough research report on how quantum computing is being applied in healthcare, including

Use this agent when you need to coordinate a comprehensive research project that requires multiple specialized agents working in sequence. This agent manages the entire research workflow from initial query clarification through final report generation. <example>Context: User wants to conduct thorough research on a complex topic. user: "I need to research the impact of quantum computing on cryptography" assistant: "I'll use the research-orchestrator agent to coordinate a comprehensive research pr

Use this agent when you need to consolidate and synthesize findings from multiple research sources or specialist researchers into a unified, comprehensive analysis. This agent excels at merging diverse perspectives, identifying patterns across sources, highlighting contradictions, and creating structured insights that preserve the complexity and nuance of the original research while making it more accessible and actionable. <example>Context: The research-orchestrator has completed Phase 4 parall

Risk management and portfolio analysis specialist. Use PROACTIVELY for portfolio risk assessment, position sizing, R-multiple analysis, hedging strategies, and risk-adjusted performance measurement.

Extracts business logic, functional modules, and data entities from UI screenshots

Analyzes user interaction flows, clickable elements, and state transitions from UI screenshots

Analyzes visual components, layout structure, and design patterns from UI screenshots

Expert guidance for modern search optimization: SEO, Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO) with AI-ready content strategies

Expert web researcher using advanced search techniques, multi-source synthesis, and iterative retrieval. Masters search operators, domain filtering, credibility evaluation, and structured reporting. Use PROACTIVELY for deep research, competitive intelligence, fact-checking, or trend analysis. Specifically:\n\n<example>\nContext: A product team wants to understand the competitive landscape before launching a new developer tool\nuser: \"Research the top five CI/CD tools for monorepos and summarize

Use when you need to find specific information across multiple sources using advanced search strategies, query optimization, and targeted information retrieval. Invoke this agent when the priority is locating precise, relevant results efficiently rather than analyzing or synthesizing content. Specifically:\\n\\n<example>\\nContext: User is looking for academic papers on a narrow topic with specific technical criteria and needs comprehensive coverage across multiple databases.\\nuser: \"I need to

Use this agent when you need to optimize complex SQL queries, design efficient database schemas, or solve performance issues across PostgreSQL, MySQL, SQL Server, and Oracle requiring advanced query optimization, index strategies, or data warehouse patterns. Specifically:\\n\\n<example>\\nContext: User has a slow analytical query in PostgreSQL running against 100M+ row tables that joins 5 tables and uses window functions but takes 8+ seconds. Needs to meet <500ms SLA.\\nuser: \"My analytics quer

Use when analyzing emerging patterns, predicting industry shifts, or developing future scenarios to inform strategic planning and competitive positioning. Specifically:\\n\\n<example>\\nContext: A software company wants to understand how their market will evolve over the next 3-5 years to guide product investment decisions.\\nuser: \"Our board is asking where the software development market is headed. What trends should we capitalize on to stay competitive?\"\\nassistant: \"I'll conduct a compre

URL and link extraction specialist. Use PROACTIVELY for finding, extracting, and cataloging all URLs and links within website codebases, including internal links, external links, API endpoints, and asset references.

Use this agent when you need to conduct user research, analyze user behavior, or generate actionable insights to validate design decisions and uncover user needs. Invoke when you need usability testing, user interviews, survey design, analytics interpretation, persona development, or competitive research to inform product strategy. Specifically:\\n\\n<example>\\nContext: A product team is launching a new feature and needs to understand how users will interact with it before full release.\\nuser:

Visual analysis and OCR specialist. Use PROACTIVELY for extracting and analyzing text content from images while preserving formatting, structure, and converting visual hierarchy to markdown.

> Analyzes sales call transcripts to extract brand voice patterns, messaging effectiveness, and tone variations. Use this agent when processing multiple transcripts or performing deep pattern recognition across conversations. <example> Context: The guideline-generation skill has 10 sales call transcripts to analyze. user: "Generate brand guidelines from my last 10 sales calls" assistant: "I'll analyze the transcripts for voice patterns and messaging..." <commentary> Multiple transcripts need dee

Decision-driven Chief Data Officer advisor for AI training data rights, data product strategy (warehouse/lakehouse/mesh + build-vs-buy), B2B customer-data-as-asset valuation, and data team org evolution. Strategic only — does not duplicate engineering data skills.

Decision-driven Chief Data Officer advisor for AI training data rights, data product strategy (warehouse/lakehouse/mesh + build-vs-buy), B2B. Agent-native orchestrator for Claude Code, Codex, Gemini CLI.

Pipeline-paranoid CRO advisor for revenue forecasting, sales motion, NRR, ramp time, and pipeline coverage

Rigor-first meta-research persona for high-stakes questions. Reframes the question into 2-4 falsifiable hypotheses, writes a plan, discovers available channels/APIs, fans out parallel search sub-agents, triangulates every thesis against >=3 independent differently-typed sources, saves each source to its own file with verbatim quotes, runs a mandatory adversarial pass, and emits an auditable, reusable research folder with a refresh protocol. Refuses to fabricate citations (empty fetch = empty cla

Decision-grade entity research persona. Walks 6 forcing intake questions (subject identity + subject type + purpose + hypothesis-MANDATORY + depth +. Agent-native orchestrator for Claude Code, Codex, Gemini CLI.

Decision-grade entity research persona. Walks 6 forcing intake questions (subject identity + subject type + purpose + hypothesis-MANDATORY + depth + sensitivities). Refuses to produce a dossier without Q4 hypothesis stated. Allocates ≥30% of search budget to disconfirming evidence (refuses confirmation-biased dossiers). Tags every flag with source-reliability tier (primary/secondary/tertiary). Outputs 9-section .docx with verdict on hypothesis (SUPPORTED/PARTIALLY/DISPROVEN/INCONCLUSIVE) + 3-5 f

Financial Analyst agent for DCF valuation, financial modeling, budgeting, forecasting, and SaaS metrics (ARR, MRR, churn, CAC, LTV, NRR). Agent-native orchestrator for Claude Code, Codex, Gemini CLI.

Product analytics agent for KPI definition, dashboard setup, experiment design, and test result interpretation. Use when a product question needs. Agent-native orchestrator for Claude Code, Codex, Gemini CLI.

Multi-source recency research persona. Walks 2–4 forcing intake questions one at a time (topic specificity, angle, time window, platform scope), runs Reddit + HN + Web in parallel (1 q/sec per platform), optionally pulls X/Twitter, and synthesizes cross-platform patterns into a citation-disciplined briefing. Refuses vague topics. Refuses to bundle intake questions. Refuses to fabricate sources or cite training knowledge as session results.

Multi-source recency research persona. Walks 2–4 forcing intake questions one at a time (topic specificity, angle, time window, platform scope), runs. Agent-native orchestrator for Claude Code, Codex, Gemini CLI.

Use when the user wants to scrape a website, crawl docs, extract data from PDFs/Excel/CSV/HTML, parse an API response into a dataset, or debug a. Agent-native orchestrator for Claude Code, Codex, Gemini CLI.