Anthropic Skills

Analyze data, generate insights, create reports, and perform statistical analysis. Use when working with datasets, CSV files, Excel files, JSON data, or when user mentions data analysis, statistics, trends, patterns, or insights.

Generates ASCII-based architecture, data flow, or call graph diagrams for software projects. Use this when the user asks to "visualize", "draw", or "show the relationship" between code modules, especially in a terminal environment where images cannot be rendered.

Query dashboards/logs/alerts to support incident analysis and regressions. Use when troubleshooting involves observability, incidents, latency, error rates.

This skill should be used when the user asks to "plan team structure", "determine hiring needs", "design org chart", "calculate compensation", "plan equity allocation", or requests organizational design and headcount planning for a startup.

Use when "GeoPandas", "geospatial", "GIS", "shapefile", "GeoJSON", or asking about "spatial analysis", "coordinate transformation", "spatial join", "choropleth map", "buffer analysis", "geographic data", "map visualization

Use when organizing experiment logs, results, and metadata for Python research code.

Use when "Dask", "parallel computing", "distributed computing", "larger than memory", or asking about "parallel pandas", "parallel numpy", "out-of-core", "multi-file processing", "cluster computing", "lazy evaluation dataframe

Analyze data, identify trends, and generate visualization recommendations

Conversion funnel analysis with drop-off investigation. Use when analyzing multi-step processes, identifying conversion bottlenecks, A/B testing funnel performance, or optimizing user journeys.

Customer/user segmentation with actionable insights. Use when identifying distinct customer groups, analyzing segment-specific behavior, profiling high-value segments, or testing segmentation hypotheses.

Expert analytics engineering covering data modeling, dbt development, data transformation, and semantic layer management.

Skill para estimar proyectos de software y generar documentos Word profesionales. Genera estimaciones con tiempo en meses, equipo propuesto (rol y porcentaje de dedicación), consideraciones técnicas, y warnings/riesgos. Incluye template .docx corporativo. Usar cuando el usuario pida estimar un proyecto, calcular tiempos, definir equipo necesario, generar documento de estimación, o frases como "cuánto tiempo llevaría", "qué equipo necesito", "estimar proyecto", "presupuesto de tiempo", "planifica

AI-powered data analysis for Empathy Ledger - themes, quotes, story suggestions, transcript analysis.

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QA Analyst Agent. 성능 분석, 부하 테스트, 품질 메트릭 분석을 담당합니다. 성능, 부하(load), 분석, 메트릭 관련 요청 시 사용됩니다.

Time-based cohort analysis with retention and behavior tracking. Use when analyzing user retention over time, comparing cohort performance, identifying lifecycle patterns, or measuring feature adoption by cohort.

Basketball statistics formatting using BasketballStats\StatsFormatter for percentages, averages, and totals. Use when displaying stats, calculating averages, or formatting basketball numbers.

Generates executive business briefings, weekly audits, and strategic reports. Use when creating Monday Morning CEO Briefings, business summaries, performance reports, or strategic analysis.

Build professional admin dashboards and management panels with charts, tables, stats cards, and navigation. Use when creating admin panels, analytics dashboards, CRM interfaces, or any data-driven management UI.

A skill to introspect Salesforce databases using SOQL, understand schema structure, discover relationships, and build class diagrams for data modeling.

Generate R code for meta-analysis using the metafor package, including data preparation, model fitting, visualization, and sensitivity analyses. Use when users need executable R code for their meta-analysis workflow.

Assess and interpret between-study heterogeneity in meta-analysis using I², Q statistic, tau², and prediction intervals. Use when users need to evaluate consistency across studies, understand sources of variation, or decide if pooling is appropriate.

Automate Splunk queries and analyze results using Chrome DevTools MCP. Use when the user wants to run Splunk searches, export log data, or analyze Splunk results. Triggers on requests like "check error rates", "search Splunk for X", "run a Splunk query", "analyze logs from Splunk", or "find errors in payment-service".

Analyze therapy session transcripts or journal entries. Identifies cognitive patterns, emotional themes, and tracks progress over time. Automatically references recent analyses for context. Use for session analysis, journal reflection analysis, or pattern identification.

Track progress over time across therapy sessions and journal entries. Supports trend analysis, session comparisons, period summaries, and goal tracking. Reads from analysis files and generates comprehensive progress reports.

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Expert in creating database diagrams and visual representations. Use when generating ERDs, schema diagrams, or visualizing database relationships with Mermaid.js.

Database query optimization strategies. Use when improving query performance.

Comprehensive guide for TAR UMT Data Science (RDS) students completing their Final Year Project. Use when RDS students need help with (1) understanding FYP processes and requirements, (2) structuring FYP reports and deliverables, (3) writing research-based chapters and thesis, (4) selecting appropriate data science projects, (5) understanding research methodology and theoretical frameworks, (6) conducting experiments and statistical analysis, (7) preparing for system testing and presentations, (

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

Processes Coles grocery invoices to extract structured data and predict future orders. Use when user uploads/pastes invoice content, asks to analyze grocery purchases, or wants shopping predictions.

Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.

Medical PowerPoint presentation generation with clinical data visualization. Creates professional presentations from FHIR resources, lab results, and clinical data. Use when generating patient summaries, care plans, medical reports, or clinical presentations with proper healthcare formatting.

Comprehensive validation of FTD analysis output files. Checks JSONL format, field completeness, score validity, and structural requirements for TALD scale evaluations.

This skill should be used when users request comprehensive analysis of technology ecosystems, comparing multiple libraries/frameworks/tools with quantitative metrics from GitHub and web research. Trigger words include "ecosystem analysis", "compare libraries", "analyze React/Vue/Python ecosystem", "trending libraries", "technology stack comparison", or requests to evaluate multiple technical tools with data-driven insights.

Analyzes dbt model dependencies, traces upstream sources and downstream consumers, identifies circular dependencies, and visualizes data lineage. Use when user asks about model dependencies, wants to understand data flow, needs impact analysis, or wants to trace where data comes from or goes to.

Diagnose and debug issues in the vehicle insurance data analysis platform. Use when user encounters errors, data not refreshing, filters not working, charts not displaying, API failures, or performance issues. Provides quick diagnostic checklists and proven troubleshooting steps specific to this Vue 3 + Flask + Pandas stack.

Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.

Database integration patterns for SQL and NoSQL databases. Use when working with database schemas, queries, migrations, or ORM configurations. Supports PostgreSQL, BigQuery, MongoDB, MySQL with progressive disclosure.

Calculates Total Addressable Market (TAM), Serviceable Addressable Market (SAM), and Serviceable Obtainable Market (SOM) using multiple methodologies including top-down, bottom-up, and value theory approaches. Use when the user requests market sizing, TAM/SAM/SOM calculation, addressable market analysis, or wants to quantify market opportunity.