Data & Analytics for Claude Code

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.

Direct vs partner-led channel economics — fully-loaded cost-to-serve, channel ROI, optimal channel mix. NOT partnership structure (sibling. Slash command for Claude Code, Codex CLI, Gemini CLI.

Forward bookings / billings / ARR forecast with funnel + cohort math + conversion-assumption disclosure. NOT financial close (finance). Direct invocation of the commercial-forecaster skill.

Forward bookings / billings / ARR forecast with funnel + cohort math + conversion-assumption disclosure. NOT financial close (finance). Direct. Slash command for Claude Code, Codex CLI, Gemini CLI.

Discount matrix designer + T&C library + exception policy. New ground — designs the policy that deal-desk applies per deal. Direct invocation of the commercial-policy skill.

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

/cs:dossier <entity> — Decision-grade entity research with mandatory hypothesis-testing. 6-Q grill-me intake (Q4 hypothesis MANDATORY) → ≥30%. Slash command for Claude Code, Codex CLI, 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

/cs:dossier <entity> — Decision-grade entity research with mandatory hypothesis-testing. 6-Q grill-me intake (Q4 hypothesis MANDATORY) → ≥30% disconfirming search budget → 9-section .docx with verdict (SUPPORTED/PARTIALLY/DISPROVEN/INCONCLUSIVE) + 3-5 finding-tied conversation hooks.

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.

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.

Market research methodology. Size a market as TAM/SAM/SOM computed BOTH top-down and bottoms-up (never a single number), plan a survey sample size. Slash command for Claude Code, Codex CLI, Gemini CLI.

Market research methodology. Size a market as TAM/SAM/SOM computed BOTH top-down and bottoms-up (never a single number), plan a survey sample size with finite-population correction and per-segment minimums, and score candidate segments against Kotler's criteria. Outputs always show method + assumptions. Direct invocation of the market-research skill.

Pricing model selection (subscription / usage / value / hybrid), Van Westendorp WTP analysis, packaging design. Recommends a model + range, never a. Slash command for Claude Code, Codex CLI, Gemini CLI.

Spend categorization + supplier rationalization + purchasing-cycle analysis. NOT vendor performance scoring (sibling vendor-management). NOT financial close (finance). Direct invocation of the procurement-optimizer skill.

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.

/cs:pulse <topic> — Multi-source recency research. Grill-me intake (topic / angle / window / scope), then parallel Reddit + HN + Web (1 q/sec per platform), optional X/Twitter, cross-platform synthesis. Output: ${RESEARCH_DIR}/pulse/<slug>-<date>.md + full briefing in chat.

/cs:pulse <topic> — Multi-source recency research. Grill-me intake (topic / angle / window / scope), then parallel Reddit + HN + Web (1 q/sec per. Slash command for Claude Code, Codex CLI, 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. 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.

Route, extract, and validate a scraping job (URL or local file) via the universal-scraping-architect skill — refuses to deliver unvalidated data.

Route, extract, and validate a scraping job (URL or local file) via the universal-scraping-architect skill — refuses to deliver unvalidated data.. Slash command for Claude Code, Codex CLI, 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.

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 brittle scraping script. Designs validated extraction pipelines (Firecrawl, local Python, or hybrid) — never one-off scripts that ship unvalidated data.

Monitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success. Use when analyzing customer accounts, reviewing retention metrics, scoring at-risk customers, or when the user mentions churn, customer health scores, upsell opportunities, expansion revenue, retention analysis, or customer analytics. Runs three Python CLI tools to produce deterministic health scores, churn risk tiers, and prioritized expansion recommenda

Audit datasets for completeness, consistency, accuracy, and validity. Profile data distributions, detect anomalies and outliers, surface structural issues, and produce an actionable remediation plan. Use when the user asks to check data quality, profile a dataset, hunt outliers or missing values, or validate data before analysis or model training.

Use when the user asks to design database schemas, plan data migrations, optimize queries, choose between SQL and NoSQL, or model data relationships.

Decision-grade entity research skill — produces a hypothesis-tested dossier on a specific company, person, nonprofit, or government org, not a generic profile. Forcing intake makes the user state their hypothesis upfront (what they already believe and want to verify or disprove) so the dossier tests it rather than confirms it. Output is an editable Word document (.docx) with verdict on the hypothesis, identity facts, 12-month activity timeline, network and reputation signals, red flags, conversa

Use when planning product experiments, writing testable hypotheses, estimating sample size, prioritizing tests, or interpreting A/B outcomes with practical statistical rigor.

Experiment Runner Agent

Router/index for the 2 finance skills bundled in this plugin: financial-analyst (ratio analysis, DCF valuation, budget variance, rolling forecasts) and saas-metrics-coach (ARR/MRR, churn, CAC/LTV, NRR, quick ratio). Use when a finance request doesn't obviously match one skill and you need to pick the right one (e.g., 'analyze these financials', 'how healthy are my SaaS metrics').

Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making. Use when analyzing financial statements, building valuation models, assessing budget variances, or constructing financial projections and forecasts. Also applicable when users mention financial modeling, cash flow analysis, company valuation, financial projections, or spreadsheet analysis.

Run financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecasts. Usage: /financial-health <ratios|dcf|budget|forecast> <data.json>

Run financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecasts. Usage: /financial-health <ratios|dcf|budget|forecast>. Slash command for Claude Code, Codex CLI, Gemini CLI.

Use when doing upstream market-research methodology — sizing a market as TAM/SAM/SOM computed BOTH top-down and bottoms-up (never a single unsourced number), planning a survey sample size with finite-population correction and per-segment minimums, or scoring candidate market segments against Kotler's measurable/substantial/accessible/differentiable/actionable criteria. Outputs always show the method and the assumptions. For market-research analysts and product-marketing at the sizing/survey/segm

Generate data-driven user personas for UX research and product design. Usage: /persona generate [options]

Generate data-driven user personas for UX research and product design. Usage: /persona generate [options]. Slash command for Claude Code, Codex CLI, Gemini CLI.