Anthropic Skills

Run or debug Stata workflows through the local io.github.tmonk/mcp-stata server. Use when users mention Stata commands, .do files, r()/e() results, dataset inspection, Stata graph exports, or data browsing with sorting/filtering.

Queries data warehouse and answers business questions about data. Handles questions requiring database/warehouse queries including "who uses X", "how many Y", "show me Z", "find customers", "what is the count", data lookups, metrics, trends, or SQL analysis.

Create interactive charts for car registration and COE data visualization using Recharts. Use when adding new chart types, fixing chart bugs, or implementing data visualizations.

R 4.4+ development specialist covering tidyverse, ggplot2, Shiny, and data science patterns. Use when developing data analysis pipelines, visualizations, or Shiny applications.

Skill for selecting appropriate statistical tests for analyses

Deep-dive data profiling for a specific table. Use when the user asks to profile a table, wants statistics about a dataset, asks about data quality, or needs to understand a table's structure and content. Requires a table name.

Collect, calculate, and report healthcare quality metrics including core measures, HEDIS, patient safety indicators, and value-based purchasing measures

Data quality validation skill using Great Expectations for schema validation, expectation suites, data documentation, and automated data quality checks in ML pipelines.

Arize AI skill for production ML monitoring, embedding drift, and performance analysis.

Dataset versioning skill using DVC for tracking data changes, managing data pipelines, and ensuring reproducibility.

SageMath for comprehensive mathematical computation

Generate stakeholder analysis matrices and engagement visualizations

Business intelligence and dashboard creation for marketing analytics and reporting

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

Trace downstream data lineage and impact analysis. Use when the user asks what depends on this data, what breaks if something changes, downstream dependencies, or needs to assess change risk before modifying a table or DAG.

Trace upstream data lineage. Use when the user asks where data comes from, what feeds a table, upstream dependencies, data sources, or needs to understand data origins.

Create beautiful infographics based on the given text content. Use this when users request creating infographics.

Interpret YouTube Analytics, TikTok Analytics, and video performance data. Identifies trends, explains metrics, and provides actionable recommendations for growth. Use when analyzing video performance, understanding metrics, or optimizing channel strategy.

Master metrics definition, KPI tracking, dashboarding, A/B testing, and data-driven decision making. Use data to guide product decisions.

Measure what matters with proper event tracking, funnels, cohorts, and metrics. Use when setting up analytics, tracking features, or understanding behavior.

Connect to PostgreSQL, MySQL, or SQLite databases to explore schema structure, table relationships, and generate ERD diagrams. Use when the user asks to explore a database, document schema, or understand table relationships.

Guide collection and analysis of performance traces. Use when a mid-level developer needs to diagnose slowness.

Overview of protected quality thresholds and quick reference for all quality tools. Use when you need to understand quality metrics, run comprehensive quality checks, or learn which specialized skill to use. For specific issues, use dedicated skills (deptrac-fixer for Deptrac, complexity-management for PHPInsights, testing-workflow for coverage).

Decision guidance for selecting the right diagram type and tool. Provides patterns for common visualization scenarios, tool comparison, and best practices.

Define measurable success metrics (KPIs) tied to product type during PRD v0.3 Commercial Model. Triggers on requests to define success metrics, set KPI targets, determine what to measure, establish go/no-go thresholds, or when user asks "how do we measure success?", "what metrics matter?", "what's our target?", "how do we know if this works?", "define KPIs", "success criteria". Consumes Product Type Classification (BR-) from v0.2. Outputs KPI- entries with thresholds, evidence sources, and downs

Specialized in syncing logs from production and analyzing them to find trade history, errors, or performance metrics.

Find AILANG vs Python eval gaps and improve prompts/language. Use when user says 'find eval gaps', 'analyze benchmark failures', 'close Python-AILANG gap', or after running evals.

Identify AILANG language gaps from agent struggles, analyze eval baselines, and generate actionable insights. PRIMARY PURPOSE is finding what stdlib/prompt improvements would help agents succeed. Use when analyzing eval results, checking benchmarks, or investigating failures.

Designs optimal filtering UX for data tables. Use when building a table that needs filters - analyzes the data columns and determines the best filter type for each. Outputs a unified filter field with inline header filters.

Guides systematic implementation of new sustainability metrics in OSS Sustain Guard using the plugin-based metric system. Use when adding metric functions to evaluate project health aspects like issue responsiveness, test coverage, or security response time.

Authoritative reference for Mermaid diagram syntax. Provides diagram types, syntax patterns, examples, and platform integration guidance for generating accurate Mermaid diagrams.

Guide for creating mermaid diagrams. This skill should be used when users want to create a mermaid diagram (or update an existing diagram).

Consolidate multiple deepresearch results into a single comprehensive report following best practices for iterative processing

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TODO: [What it does]. Use when [specific triggers]. Example: "Analyzes Excel spreadsheets and generates charts. Use when working with Excel files, .xlsx, spreadsheet analysis, or data visualization." REQUIRED: Include "Use when..." with trigger keywords (file types, domains, tasks). Third person. Max 1024 chars.

Unified project health dashboard aggregating all quality metrics

Create publication-quality scientific diagrams using Nano Banana Pro AI with iterative refinement. AI generation is the default method for all diagram types. Generates high-fidelity images with automatic quality review. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.

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

Generate project assessment markdown documents from JSON data with WHY/WHO/WHAT

Auto-activates during requirements analysis to evaluate technical stack