Browse Skills

Run a WCAG 2.1 AA accessibility audit on a design or web page. Use when reviewing color contrast, keyboard navigation, touch target size, or screen reader behavior before handoff.

Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.

Set up your bio-research environment and explore available tools. Use when first getting oriented with the plugin, checking which literature, drug-discovery, or visualization MCP servers are connected, or surveying available analysis skills before starting a new project.

Build a self-contained HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a shareable report, building a team monitoring snapshot, or needing a browser-openable file with multiple charts and filters.

Customize a Claude Code plugin for a specific organization's tools and workflows. Use when setting up or modifying a plugin's configuration to match team conventions and services.

Guides users through creating a Claude Cowork plugin from scratch in a five-phase cowork session, delivering a ready-to-install .plugin file.

Create publication-quality visualizations with Python. Use when turning query results or a DataFrame into a chart, selecting the right chart type for a trend or comparison, generating a plot for a report or presentation, or needing an interactive chart with hover and zoom.

Package a support issue into a structured escalation brief for engineering, product, or leadership. Useful when a bug needs engineering attention, multiple customers report the same issue, a customer threatens to churn, or an issue is past its SLA.

Multi-source research on a customer question or topic with source attribution. Use when a customer asks something you need to look up, investigating whether a bug has been reported before, checking what was previously told to a specific account, or gathering background before drafting a response.

Extract company-specific data knowledge from analysts to create or improve tailored data analysis skills for AI assistants. Helps Claude understand your data warehouse, metrics definitions, and query patterns.

Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.

Provides structured design feedback across usability, visual hierarchy, consistency, and accessibility. Useful for reviewing mockups, screenshots, or Figma designs at any stage from early exploration to final polish.