Analytics & Monitoring Agent Skills

Use when designing the Monte Carlo study and empirical illustration that demonstrate a Journal of Econometrics (JoE) method works in…

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.

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

Analyzes monthly budget-to-actual financial variances by isolating data quality, timing, price, volume, and mix effects to drive…

Use when when you have MS/MS spectra from both query compounds and a

Use when designing a multi-agent system, when a single agent has too many responsibilities, when planning complex ML pipelines, or when…

Route jobs across DGX Spark and dual-3090 Comfy.

Use when designing a multi-country or cross-cultural study for a Journal of International Marketing (JIM) manuscript — country selection…

Explain Finance Hub multi-currency display and conversion behavior.

Use when: (1) considering adding family-level or store-level aggregation features to day-specific models, (2) tempted to copy hierarchical…

Multi-person lip-sync is Free Mode only — face detection, audio split, manual role-track pairing.

Maintains strict character and object visual consistency across multi-shot AI video generation workflows.

Analyzes, describes, compares images, and extracts text using multi-provider vision models across standard AI protocols.

Analyze music/audio files locally without external APIs.

Guidance and local audit tools for Python workflows that directly use GeoPandas GeoSeries, GeoDataFrame, spatial operations, or…

Use when packaging datasets, models, prompts, or annotation materials for a NAACL-bound submission — building the artifact around the…

Use when designing or auditing the experimental program of a NAACL submission — matching evidence to language-coverage claims, keeping…

Use when deciding whether a project should target NAACL rather than ACL, EMNLP, EACL, AACL, LREC-COLING, TACL, or an ML venue — weighing…

Create, revise, audit, and export manuscript scientific figures in Python or R.

Use when targeting Nature Machine Intelligence (Nat Mach Intell) or deciding whether an AI, ML, or robotics manuscript fits this venue.