Anthropic Skills

This skill should be used when the user asks to "create a mermaid diagram", "draw a flowchart", "make a sequence diagram", "update diagram theme", "customize diagram colors", "add icons to architecture diagram", or mentions working with architecture diagrams, state diagrams, gantt charts, timelines, mindmaps, entity relationships, sankey diagrams, or user journeys. Always use when creating, editing, or customizing mermaid diagrams in markdown files.

Transforms medical analysis reports into stunning, personalized, data-driven Health Realms using intelligent visualization.

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Merges medical analysis and cross-system insights into a cohesive, prioritized, patient-facing narrative while preserving all rich content from the agentic analysis.

Interactive dashboard design workflow. Analyzes data, asks clarifying questions, generates visualizations, and saves reusable configs. Use when user has raw data and wants a dashboard created collaboratively.

Symmetry analysis, Lyapunov exponent chaos detection, and period detection APIs. Use when analyzing CA states, detecting patterns, measuring stability, or classifying dynamic behavior.

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

Scaffolds a high-performance scientific GUI application using a Data-Centric Architecture (PyQt+Visualization).

Analyze training logs and explain what's happening. Use when reviewing training runs, understanding loss curves, or diagnosing completed training.

Use when "data visualization", "plotting", "charts", "matplotlib", "plotly", "seaborn", "graphs", "figures", "heatmap", "scatter plot", "bar chart", "interactive plots

Transform data findings into compelling insights. Use when converting analysis results into actionable insights, connecting findings to business impact, or preparing insights for stakeholder communication.

Validates True Positive Rate and False Positive Rate gaps across demographics using AgentDB metrics

Temporal pattern detection and forecasting. Use when analyzing trends over time, detecting seasonality, identifying anomalies in time series, or building simple forecasting models.

Create parabola plots using R with customizable coefficients, range, styling, and annotations. Use for mathematical visualization, quadratic function analysis, and educational demonstrations of parabolic curves.

Expert business intelligence covering dashboard design, data visualization, reporting automation, and executive insights delivery.

Edit or create interactive Plotly.js graph components in Svelte 5. Use when asked to create a graph, add a visualization, build a chart, make a plot, visualize data, add slider controls to a graph, or create a new graph page. Handles 60fps slider updates, throttling, data precomputation, and proper Svelte 5 reactivity patterns.

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Copilot 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

Use when working with SQLMesh projects - creating models, reviewing plans, validating changes, debugging failures, or deploying to production environments.

Review individual V2 transaction MDX documentation for coverage and accuracy

Supabase-specific analytics patterns for dashboards including RLS-aware queries, time-series analysis, cohort analysis, and tenant-isolated aggregations. Use when building analytics features for the Vete platform.

Teach network meta-analysis (NMA) for comparing multiple treatments simultaneously. Use when users need to compare more than two interventions, understand indirect comparisons, or create network plots and league tables.

Review Azure Data Explorer dashboards for Copilot CLI metrics and update Google Sheets scorecard. Connects to existing Chrome session for authentication.

Guide for creating mermaid diagrams for C++ learning and documentation. Creates visual diagrams to help learners understand concepts.

Categorize financial transactions by analyzing merchant names, amounts, and context. Assigns spending categories with confidence scores and suggests pattern rules. Use when you need to categorize transactions or determine spending patterns.

Comprehensive skill for interacting with Grafana's HTTP API to manage dashboards, data sources, folders, alerting, annotations, users, teams, and organizations. Use when Claude needs to (1) Create, read, update, or delete Grafana dashboards, (2) Manage data sources and connections, (3) Configure alerting rules, contact points, and notification policies, (4) Work with folders and permissions, (5) Manage users, teams, and service accounts, (6) Create or query annotations, (7) Execute queries again

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

Dashboard symbol_signals uses parallel lists (symbols[], signal_values[], gate_statuses[]) not dict keyed by symbol. Trigger when: (1) 'list' object has no attribute 'get', (2) .items() on symbol_signals fails.

Coverage thresholds and reporting. Use when analyzing and improving test coverage.

Analyzes Rust code for performance bottlenecks, memory inefficiencies, and optimization opportunities. Use when discussing performance, slow code, memory usage, profiling, benchmarks, or optimization.

Professional rules for AI-driven data modeling and creation. Use this skill when users need to create and manage MySQL databases, design data models using Mermaid ER diagrams, and implement database schemas.

Knowledge about pyecharts chart creation, HTML report generation, and visualization best practices

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.

Assists with building reports, dashboards, and data visualizations using Recharts and D3.js for the NABIP AMS. Use when creating member growth charts, revenue analytics, event performance metrics, email engagement tracking, or custom report builders with aggregations and scheduled exports.

Analyzes Snowflake query performance, identifies optimization opportunities, and provides cost reduction recommendations. Use when user needs to optimize slow queries, reduce Snowflake costs, analyze query profiles, design clustering keys, or troubleshoot performance issues.

Building table filters with query parameters, model search, and supported query patterns

Generate professional HTML presentation slides from Markdown files or raw content. Use when creating presentations, slide decks, or when asked to make slides. Fully automated workflow - Markdown analysis → Layout selection → HTML generation → Thumbnail generation → Surge deployment. Supports 16 layouts, Chart.js graphs, and interactive features.

Thrivve Partners Monte Carlo simulation to forecast story/task completion based on historical throughput. Use when the user asks "how many stories/tasks will be completed by [date]" with historical daily throughput data. Requires at least 10 days of throughput history and a future target date. Provides probabilistic forecasts at specified confidence levels (default 85%).

Expert assistant for Keboola data platform. Builds working data pipelines, not just advice. Use for: data extraction, transformation, validation, orchestration, dashboard creation.

Performs comprehensive data analysis including statistical analysis, visualization, pattern detection, and report generation. Use when the user asks to analyze data, find patterns, generate insights, create visualizations, or mentions data analysis, statistics, or data science tasks.

Analyzes customer behavior, needs, pain points, and sentiment through review mining, social listening, buyer persona development, and jobs-to-be-done framework. Use when the user requests customer analysis, voice of customer research, buyer personas, pain point analysis, or wants to understand customer needs and motivations.