Analytics & Monitoring Agent Skills for Claude Desktop

Scans the user's actual hardware and tells them exactly which local AI models they can run, by name, with expected speed.

Detect significant price movements and unusual volume across crypto

Use when turning a public-equity base case, model, thesis, event, or catalyst into scenario skew, sensitivity, breakpoint, and PM…

Embed and annotate single-cell expression data with scGPT, a foundation model for single-cell biology.

Edit or author Schematify TypeScript graph scripts with the graph, node, and channel builder API.

Configure Schematify node rendering through .render(), including property cards, reports, pie charts, bar charts, line charts, bindings…

Distills this lab's epidemiological workflows: data cleaning, UK Biobank and public databases (CHARLS, ELSA, NHANES, MIMIC-IV, eICU)…

When to activate: scikit-learn, sklearn, Pipeline, ColumnTransformer, GridSearchCV, cross-validation, custom transformers, feature…

Threshold-based alerting on Scrapfly account metrics.

Use the native Screenpipe CLI to query Enterprise team activity or safely preview, deploy, and schedule managed team Pipes.

This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq, scATAC-seq, CITE-seq…

Generate SDLC reports including iteration status, metrics dashboards, and executive summaries across phases

Route SDV PAR sequential synthesis workflows for sequence-keyed data.

Expert patterns for Segment Customer Data Platform including

Use when adding new skills to the library, when extracting insights from completed experiments, when consolidating lessons learned, or…

Let NVIDIA OO agents extend themselves — persistent skill libraries the agent writes and hot-reloads (SkillWriting / self.libs…

This skill should be used when the harness, scaffold, workflow, or optimizer itself is the optimization target: recursive self-improvement…

Turn an explicitly named existing Sem run directory into a validated, render-ready view bundle, including successful, partial, failed…

Computer vision engineering skill for object detection, image segmentation, and visual AI systems.