data-analysis
Analyze datasets, generate insights, and create visualizations
Analyze datasets, generate insights, and create visualizations
Sub-skill of orcawave-analysis: Standard Analysis (+1).
Sub-skill of orcawave-analysis: Swarm Coordination (+2).
Sub-skill of orcawave-analysis: Version Metadata.
Sub-skill of orcawave-damping-sweep: Typical Values by Vessel Type (+1).
Fetch real-time and historical metocean data from NDBC, CO-OPS, Open-Meteo, ERDDAP, and MET Norway. Use for buoy data retrieval, tidal observations, marine forecasts, and multi-source data fusion.
Ocean wave theory including wave spectra, statistics, irregular seas, and wave transformation for offshore engineering
Create and use Kibana Maps for geospatial data
Use when working with coordinate reference systems, EPSG codes, datum mismatches, reprojection choices, projected versus geographic CRS, unit confusion, or map alignment problems in geospatial data.
Use when inspecting a new geospatial dataset for the first time, including GeoJSON, Shapefile, GeoPackage, raster, CSV with coordinates, or mixed geo data. Helpful for schema review, CRS detection, geometry summary, dataset extent, and first-pass analysis planning.
Use when performing quality assurance or quality control on geo data before analysis, sharing, or publishing. Covers vector validity, attribute consistency, raster sanity checks, completeness, and basic geospatial data fitness review.
Use when working with geospatial data in Snowflake, including GEOGRAPHY columns, WKT or GeoJSON loading, spatial joins, ST_INTERSECTS or ST_DISTANCE queries, geohash workflows, and performance-aware SQL design for geo analytics in Snowflake.
Sub-skill of orcawave-analysis: DiffractionSpec Conventions (spec.yml to OrcaWave).
Use when the user wants to maintain daily Bilibili creator digests through the external PulseDeck repository and a local Obsidian bilibili vault.
Sub-skill of compliance: What to Monitor (+2).
Sub-skill of improve: Phase 1: COLLECT — Gather Session Signals (+6).
This skill covers causal inference methods in observational and quasi-experimental settings. Use when the user is implementing, choosing between, or debugging causal identification strategies — including instrumental variables, difference-in-differences, regression discontinuity, synthetic control, or matching estimators. Triggers on "causal effect", "identification strategy", "instrumental variable", "2SLS", "GMM", "difference-in-differences", "DiD", "staggered treatment", "regression discontinuity", "RDD", "synthetic control", "matching", "propensity score", "IPW", "AIPW", "doubly robust", "LATE", "ATT", "ATE", "parallel trends", "exclusion restriction", "first stage", "weak instruments", or "endogeneity".
Run practical, high-signal Mind Meld operation loops (preset/config selection, deterministic checks, diagnostics, and report capture) for quick quality/perf triage.
Comprehensive guide to projector-camera calibration using structured light (Gray code), depth map generation from the projector's perspective, and projection mapping effects like the RoomAlive Toolkit / IllumiRoom wobble/shockwave. Covers the complete math, calibration pipeline, and implementation needed to build an app that projects onto arbitrary room geometry.
Food animal drug withdrawal time lookup for meat, milk, and egg residue avoidance. References FARAD (Food Animal Residue Avoidance Databank) and FDA-approved label withdrawal periods.