Analytics & Monitoring Agent Skills for Claude Desktop

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files.

Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data.

Pyodide WASM apps in Web Workers. Use for Python-in-browser.

Python patterns for system reliability — background jobs and task queues (Celery, async), resilience and recovery (retries, backoff…

When to activate: Python logging, structlog, JSON logs, correlation IDs, log levels, observability setup

When to activate: scikit-learn, machine learning pipelines, feature engineering, model evaluation, cross-validation

When to activate: OpenTelemetry, traces, metrics, spans, Prometheus, Grafana, Sentry, APM setup

Profile and optimize Python code using cProfile, memory profilers, and performance best practices.

Fully sharded data-parallel training for large models.

Use when the user is investigating QML / Qt Quick performance — both vague complaints ("the UI feels laggy", "this is slow", "frames are…

You must use this when designing qualitative studies, developing coding schemes, or performing thematic analysis.

Design, select, critique, and revise quantitative data visualizations for accurate, efficient human perception.

Use when targeting Quantitative Economics (QE) or deciding whether a structural / quantitative manuscript fits this venue.

Generates a full QBR narrative — revenue trend, margin trend, customer health, top opportunities and risks — as a presentation-ready PDF…

Run custom queries on Sentry events and issues with advanced filtering

Agent-only decision procedure for resolving a matched crew-dispatch profile array from current quota-axi output, including effective…

Report local Claude, Codex, Cursor, GitHub Copilot, Grok, and Kimi quota windows via the quota-axi CLI - remaining effective usable…

Track Claude Code quota usage via Anthropic API rate limit headers.

Create, update, review, and test production-quality R scripts for data ingest, cleaning, transformation, analysis, visualization…

Scalable data processing for ML workloads.

Produce or audit a radiomics / tabular clinical-ML study — imaging or clinical features → any classical learner (penalised logistic [LASSO…