Claude Skills 列表

Sexual Health Analyzer

Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic...

Expert patterns for Segment Customer Data Platform including Analytics.js, server-side tracking, tracking plans with Protocols, identity resolution, destinations configuration,...

Analyze single-cell RNA-seq at million-cell scale with Scarf: out-of-core Zarr stores on disk or object storage, provenance-tracked artifacts, audited QC, clustering, markers and...

分析康复训练数据、识别康复模式、评估康复进展，并提供个性化康复建议

Report register: type, source modules, owner, audience, frequency, last and next run and report link. Use for reporting governance.

Interpret weather radar and satellite observations by validating product metadata and geometry, deriving storm and cloud structures, tracking evolution, and quantifying...

Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static...

Expression-based DataFrame library for Python and Rust. Use for eager or lazy tabular analytics, ETL, and pandas migration; streaming support and memory needs depend on the query.

Automate PostHog tasks via Rube MCP (Composio): events, feature flags, projects, user profiles, annotations. Always search tools first for current schemas.

Use when converting a PDF into another format such as Markdown, HTML, text, JSON, DOCX, or structured notes and the agent must choose the best extraction route, settings, and...

分析口腔健康数据、识别口腔问题模式、评估口腔健康状况、提供个性化口腔健康建议。支持与营养、慢性病、用药等其他健康数据的关联分析。

Retrieve NOAA NEXRAD and GOES products from public cloud archives using verified site, product, channel, sector, and scan-time selection.

分析营养数据、识别营养模式、评估营养状况，并提供个性化营养建议。支持与运动、睡眠、慢性病数据的关联分析。

Discover and access NEXRAD data for a selected radar site, time, product, or Level II moment using completed archive volumes, real-time chunks, or supported Level III sources with...

Plot NEXRAD Level II/III site scans and decoded radar mosaics with correct radar geometry, map grids, units, quality masks, timestamps, and provenance.

Curated upstream guidance for Monte Carlo Asset Health; use when the workflow matches the user goal.

Route data-related requests to the right Monte Carlo skill or workflow. USE WHEN alerts, incidents, data broken, stale, coverage gaps, data quality, or any ambiguous data...

Guides creation of Monte Carlo monitors via MCP tools, producing monitors-as-code YAML for CI/CD deployment.

Analyze data coverage, create monitors for warehouse tables and AI agents. Covers coverage gaps, use-case analysis, data monitor creation, and agent observability.