Data & Analytics

Structures epidemiologic analysis with incidence, prevalence, rate calculations, and statistical inference. Use when calculating disease rates, analyzing epi data, or interpreting population statistics.

Structures demographic analysis with population projections, dependency ratios, and economic impact assessment. Use when analyzing demographics, projecting population trends, or assessing demographic economic impact.

Evaluates alternative trading systems with fill rate analysis, information leakage assessment, and venue toxicity measurement. Use when analyzing dark pools, evaluating ATS venues, or assessing execution venue quality.

Evaluates factor crowding with positioning analysis, valuation spread monitoring, and unwind risk assessment. Use when analyzing factor crowding, assessing unwind risk, or monitoring factor valuation extremes.

Monitors cross-asset correlation patterns with regime-dependent analysis and diversification effectiveness assessment. Use when analyzing correlations, assessing diversification, or evaluating cross-asset relationships.

Structures correlation analysis with index vs. tranche pricing and correlation skew assessment. Use when analyzing correlation products, pricing tranches, or evaluating dispersion trades.

Structures clinical data warehouse queries for quality measurement, research, and operational analytics. Use when querying clinical data, building analytics reports, or extracting research datasets.

Structures catastrophe risk assessment with model output interpretation and accumulation monitoring. Use when analyzing cat risk, interpreting cat model results, or managing cat exposure.

Analyze, transform, clean, and visualize structured datasets using Python

Analyze, transform, clean, and visualize structured datasets using Python

Analyze, transform, clean, and visualize structured datasets using Python

Analyze, transform, clean, and visualize structured datasets using Python

**Mode skill.** Default-enabled on the Stage specialist.

**Mode skill.** Default-enabled on the Humanizer specialist.

**Mode skill.** Default-enabled on the Humanizer specialist.

**Mode skill.** Default-enabled on the Humanizer specialist.

Spreadsheet-first tasks — read, edit, fix, create .xlsx/.xlsm/.csv/.tsv (formulas, formatting, charts, data cleaning). Not Word docs, HTML reports, scripts, or Google Sheets.

Open3D 3D data processing — point clouds (filtering, registration, FPFH, RANSAC, ICP), mesh operations, TSDF reconstruction, visualization, Open3D-ML, RGBD/Kinect/RealSense. Version detection first.

review-analyzer-skill是由buluslan（公众号：新西楼.AI）研发的电商评论深度分析Skill（VOC 客户之声分析），他会帮你把一堆产品评论变成一份能落地的决策依据——22 维 AI 打标提炼用户画像、痛点和真实需求，输出 15 章深度洞察报告和可视化看板，从差评里挖出产品优化机会点、从好评里找到爆款基因。 更多跨境电商 AI 实战内容，请关注公众号「新西楼.AI」。 Deep-dive e-commerce review & VOC analysis: 22-dimension AI tagging, 15-chapter insight report with anomaly signal cards, 6 themed visualization dashboards, CSV-primary multi-source input (SellerSprite optional), Feishu sync. 当用户需要以下功能时触发：分析电商产品评论（Amazon等平台）/ 从评论中提取用户画像、痛点和VOC（客户之声）/ 生成产品洞察报告和机会点分...

Audita e desenha o funil de conversão de assinatura de um SaaS ou app — onboarding, evento de ativação, paywall, gatilhos in-app, modelo comercial (freemium/trial/hard paywall/reverse trial) e lifecycle de e-mail. Classifica o produto em playbook A (consumer/resultado pessoal) ou B (ferramenta B2B/PLG) e usa isso para recomendar telas, copy e métricas-alvo com benchmark real, não achismo. Aprofunda taticamente a seção de monetização da skill 01 (po-feature-spec). Trigger em: "auditoria de con...

Skill para definicao de eventos, naming de tracking, funis, metricas de produto e instrumentacao analitica. Use quando precisar medir valor entregue, ativacao, conversao, retencao e comportamento do usuario. Trigger em: "tracking", "analytics", "eventos de produto", "funil de conversao", "instrumentar evento", "metrica de produto", "ativacao", "retencao", "naming de evento", "tracking plan", "data analytics", "PostHog", "Amplitude", "Mixpanel".

Senior CAPA Officer specialist for managing Corrective and Preventive Actions within Quality Management Systems. Provides CAPA process management, root cause analysis, effectiveness verification, and continuous improvement coordination. Use for CAPA investigations, corrective action planning, preventive action implementation, and CAPA system optimization.

Extract and visualize reaction networks from reactive MD trajectories using ReacNetGenerator. Use after ReaxFF or ab initio MD simulations to identify reaction pathways, species, and kinetics.

Extract and visualize reaction networks from reactive MD trajectories using ReacNetGenerator. Use after ReaxFF or ab initio MD simulations to identify reaction pathways, species, and kinetics.