數據科學

PopulationSim provides population-level intelligence using public data sources. Use this skill for ANY request involving: (1) population demographics or profiles, (2) geographic health patterns or disparities, (3) social determinants of health (SDOH), (4) SVI or ADI analysis, (5) cohort definition or specification, (6) clinical trial feasibility, site selection, or enrollment projection, (7) service area analysis, (8) health equity assessment, (9) census data or ACS variables, (10) CDC PLACES health indicators.

Coordinate multiple specialized Skills and Task Agents through parallel, sequential, swarm, hybrid, or iterative execution strategies. CRITICAL - Skills use Skill tool (rust-code-quality, architecture-validation, plan-gap-analysis), Task Agents use Task tool (code-reviewer, test-runner, debugger, loop-agent). Use this when orchestrating multi-worker workflows, managing dependencies, or optimizing complex task execution with quality gates.

Execute and troubleshoot memory-cli commands for episode management, pattern analysis, and storage operations. Use this skill when running CLI commands, debugging CLI issues, explaining command usage, or guiding users through CLI workflows.

Generate domain understanding documentation from codebase analysis. Extracts entities, business logic, domain terms, and concept relationships. Triggers: domain understanding, glossary, entities, business logic, domain model, ER diagram, use cases.

KPI framework setup, dashboard design, cohort analysis, and data-driven decision making. Use when analyzing growth metrics, building KPI dashboards, or implementing analytics systems.

AI and technology ethics review including ethical impact assessment, stakeholder analysis, and responsible innovation frameworks

Investigate agent mistakes, perform root cause analysis, and update configurations to prevent recurrence

Business capability modeling using BABOK Business Capability Analysis. Creates hierarchical capability maps (L1-L3) linking strategy to architecture with Mermaid visualization.

Root cause analysis with 5 Whys methodology for software problems. Triggers: 根本原因, root cause, 5 Whys, なぜなぜ分析, 対症療法, patch, symptom, 症状, 表面的, workaround, ワークアラウンド, 本質的, 応急処置, bandaid, quick fix.

Research topics using web search and content fetching to find accurate, current information. Use when you need modern information, official documentation, best practices, technical solutions, or comparisons beyond your training data. Provides systematic web research with strategic searches, content analysis, and synthesized findings.

Render JSON specs to human-readable markdown with AI-enhanced insights, visualizations, and progressive disclosure

Analyze requirements for completeness, missing areas, and gaps. Uses domain checklists, NFR categories, and INVEST criteria to identify what's missing from elicited requirements.

This skill should be used when users need to write, review, or debug Stata code for data cleaning and analysis. Use this skill for tasks involving data import, variable management, data documentation, merging/appending datasets, creating analysis variables, and following IPA/DIME Analytics coding standards. This skill should be invoked when working with .do files, .dta files, or any Stata-related data processing tasks.

Document data flow, transformation lineage, and impact analysis for traceability and compliance.

Plan test automation strategies including ROI analysis, automation candidate selection, framework evaluation, and maintainable automation architecture.

Business rules elicitation and analysis techniques. Covers rule types (constraints, derivations, inferences), decision tables, rule templates, and policy documentation. Use when identifying business policies, constraints, calculations, and decision logic during requirements elicitation.

Expert assistance for using pytd (Python SDK) to query and import data with Treasure Data. Use this skill when users need help with Python-based data analysis, querying Presto/Hive, importing pandas DataFrames, bulk data uploads, or integrating TD with Python analytical workflows.

This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions

Guide revenue analysis using ChartMogul reports. Use when discussing MRR, ARR, churn, retention, cohorts, or subscription metrics. Helps select the right report and interpret results.

Requirements prioritization techniques including MoSCoW, Kano Model, WSJF (SAFe), and Wiegers' Value/Cost/Risk matrix. Provides scoring frameworks, trade-off analysis, and priority visualization. Use when ranking requirements by business value, customer impact, or implementation efficiency.