Analytics & Monitoring Agent Skills

Customer success reconnaissance — audit current onboarding completion, health signals, NRR, churn patterns, and CS motion.

Data quality and pipeline health check — freshness, schema drift, null rates, orphaned records, pipeline status.

Analytics and BI engineer — dashboards, metrics design, reporting pipelines, and data storytelling.

Observability reconnaissance — inventory what monitoring exists, map coverage, highlight blind spots.

Manage Sentry releases with versioning, commit association, and source

Read-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes.

Collect Juicebox debug evidence.

Primary Python toolkit for molecular biology.

Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files.

Latch platform for bioinformatics workflows.

Comprehensive quantum computing toolkit for building, optimizing, and executing quantum circuits.

Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical…

Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple…

Review dead letter queue implementations for completeness using the Lenses MCP server.

Prevent wasted research by verifying Kaggle competition data format BEFORE investing in RAG, technical planning, or model architecture…

Analytics and attribution setup — tracking plan, UTM conventions, dashboard design, and attribution model selection.

Agent skill for v3-performance-engineer - invoke with $agent-v3-performance-engineer

Use when the user wants the LLM to do its own ML research: a fully-autonomous loop that hacks the training code, runs it, and keeps…

View and manage the evaluation harness — session metrics, baselines, trend analysis, and regression detection.

Use when designing or auditing the empirical section of a KDD paper, where evidence combines quality deltas with scalability and…

Use when hardening the reproducibility story of a KDD paper, where reproducibility is an explicit decision factor for area chairs.