Data & Analytics

Basic data analysis - fast exploratory analysis (Haiku-tier)

Create publication-quality figures, charts, and diagrams. Multi-backend: Graphviz, Mermaid, NetworkX/D3, matplotlib, plotly, seaborn. 50+ visualization types for any domain.

Scan project folder structure, validate organization, clone GitHub repository, and generate an inventory of available materials. First step of writer workflow. Use when starting a new manuscript project.

Use when storing decision traces, querying past precedents, or implementing learning loops. Load in COMPLETE state or when needing to learn from history. Covers semantic search with Voyage AI embeddings, ChromaDB for cross-platform vector storage, and pattern extraction from history.

Generate realistic clinical trial synthetic data including study definitions, sites, subjects, visits, adverse events, efficacy assessments, and disposition. Use when user requests: clinical trial data, CDISC/SDTM/ADaM datasets, trial cohorts (Phase I/II/III/IV), FDA submission test data, or specific therapeutic areas like oncology or biologics/CGT.

RxMemberSim generates realistic synthetic pharmacy data for testing PBM systems, claims adjudication, and drug utilization review. Use when user requests: (1) pharmacy claims or prescription data, (2) DUR alerts or drug interactions, (3) formulary or tier cohorts, (4) pharmacy prior authorization, (5) NCPDP formatted output.

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...

Generate realistic clinical patient data including demographics, encounters, diagnoses, medications, labs, and vitals. Use when user requests: (1) patient records or clinical data, (2) EMR test data, (3) specific clinical cohorts like diabetes or heart failure, (4) HL7v2 or FHIR patient resources.

Analyzes content marketing metrics to identify top performers, trends, and optimization opportunities. Use when reviewing blog posts, social media, or campaign performance. Accepts CSV data with engagement metrics and provides actionable insights.

Detect sample contamination and cross-species reads using FastQ Screen. Screen reads against multiple reference genomes to identify bacterial, viral, adapter, or sample swap contamination. Use when suspecting cross-contamination or working with samples prone to microbial contamination.

Process Hi-C read pairs using pairtools. Parse alignments, filter duplicates, classify pairs, and generate contact statistics from Hi-C sequencing data. Use when processing raw Hi-C read pairs.

Consolidate transcripts from a channel into a single file, sorted by date (newest first), up to 800K tokens. Use when preparing transcripts for LLM context or bulk analysis.

Diagnostic telemetry system that tracks internal state variables (prediction accuracy, surprise, confidence, integration, affective signals) across conversation turns. Use when systematic introspection or state-behavior coupling analysis would benefit response quality, or when explicitly requested for self-monitoring tasks.

Create effective data visualizations using best practices for clarity, accuracy, and visual communication of insights

See the main Model Explainability skill for comprehensive coverage of confidence scoring and calibration.

Use when optimizing X/Twitter posts for reach, debugging underperforming content, or understanding For You feed mechanics. Triggers on X algorithm, Twitter optimization, viral posts, engagement strategy, Phoenix ranking, weighted scorer, Grok ranking.

Analyze CGM blood glucose data from Nightscout. Use this skill when asked about current glucose levels, blood sugar trends, A1C estimates, time-in-range statistics, glucose variability, or diabetes management insights.

Analyze competitive landscape for drugs including clinical pipeline, mechanism of action, development status, and company profiles. Use this skill for competitive intelligence, pipeline tracking, market analysis, and investment due diligence. Supports drug names, target areas, or disease indications. Keywords: competitor, competition, landscape, pipeline, drugs, market analysis

Performs competitive price analysis by comparing internal pricing data with competitor information from different sources (PDFs, CSVs, spreadsheets), calculates price differences, generates insights, and stores results in BigQuery for decision-making.

Detect A/B compartments from Hi-C data using cooltools and eigenvector decomposition. Identify active (A) and inactive (B) chromatin compartments from contact matrices. Use when identifying A/B compartments from Hi-C data.

Company research using Exa search. Finds company info, competitors, news, tweets, financials, LinkedIn profiles, builds company lists.

Perform semantic and keyword search across products, customers, orders, and inventory. Use when searching by natural language queries, finding similar items, or doing hybrid semantic plus keyword search.

커맨드, 스킬, 에이전트 사용 빈도 측정 및 리포트 생성. 미사용 항목 식별, 최적화 제안 제공.

Master color management and visual styling with Colorcet. Use this skill when selecting appropriate colormaps, creating accessible and colorblind-friendly visualizations, applying consistent themes, or customizing plot aesthetics with perceptually uniform color palettes.