Claude Skills Online Marketplace

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.

Audit saved OutreachGenie prospect lists against an outreach flow for missing template values, text limits and incomplete collection, using read-only MCP snapshots and local...

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。

Access official NOAA/NCEP MRMS radar and multisensor composites for a region and time; validate product, grid, domain, quality, timestamp, and provenance.

Construct a quality-aware NEXRAD multi-radar mosaic from aligned single-site products with explicit coverage, beam geometry, quality weighting, overlap resolution, and provenance.

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.

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。

NetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs.

Curated upstream guidance for Monte Carlo Analyze Root Cause; use when the workflow matches the user goal.

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.

Diagnoses pipeline performance issues -- slow jobs, expensive queries, latency trends -- using Monte Carlo's cross-platform observability. Uses a tiered investigation approach:...

Surfaces Monte Carlo data observability context (table health, alerts, lineage, blast radius) before SQL/dbt edits.

Review and adapt warehouse metadata, lineage and query-log collection templates for an explicitly authorized Monte Carlo destination.

Investigate and remediate data quality alerts using Monte Carlo MCP tools. Runs root cause analysis, assesses blast radius, discovers available tools (MCP/CLI/API), proposes and...

Analyze a warehouse for stale, unused, or redundant tables via the analyze_storage_costs MCP tool. Classifies waste patterns and table categories, computes safety tiers, and...