Total 53,711 skills, Data Processing has 2765 skills
Showing 12 of 2765 skills
Analyze portfolio allocation drift and generate rebalancing trade recommendations across accounts. Considers tax implications, transaction costs, and wash sale rules. Triggers on "rebalance", "portfolio drift", "allocation check", "rebalancing trades", or "my portfolio is out of balance".
Use Ibis for database-agnostic data access in Python. Use when writing data queries, connecting to databases (DuckDB, PostgreSQL, SQLite), or building portable data pipelines that should work across backends.
Structured data research: search sources, extract structured data, archive raw sources, maintain canonical tracker pages, deduplicate. Parameterized via YAML recipes for investor updates, donations, company updates, or any email-to-structured-data pipeline.
Search arXiv papers by keyword, author, category, or ID.
Complete FFmpeg + OpenCV + Python integration guide for video processing pipelines. PROACTIVELY activate for: (1) FFmpeg to OpenCV frame handoff, (2) cv2.VideoCapture vs ffmpeg subprocess, (3) BGR/RGB color format conversion gotchas, (4) Frame dimension order img[y,x] vs img[x,y], (5) ffmpegcv GPU-accelerated video I/O, (6) VidGear multi-threaded streaming, (7) Decord batch video loading for ML, (8) PyAV frame-level processing, (9) Audio stream preservation with video filters, (10) Memory-efficient frame generators, (11) OpenCV + FFmpeg + Modal parallel processing, (12) Pipe frames between FFmpeg and OpenCV. Provides: Color format conversion patterns, coordinate system gotchas, library selection guide, memory management, subprocess pipe patterns, GPU-accelerated alternatives to cv2.VideoCapture. Ensures: Correct integration between FFmpeg and OpenCV without color/coordinate bugs. See also: ffmpeg-python-integration-reference for type-safe parameter mappings.
Generates SQL validation notebooks for dbt PR changes with before/after comparison queries.
Use when automating or advising on MotherDuck REST API control-plane workflows for service-account provisioning, supported access-token lifecycle operations, Duckling instance configuration, active account inspection, or Dive embed sessions. Do not use for SQL or data-plane query work.
10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling. Design: method guides covering assumptions, code, and result interpretation.
Run and analyze molecular dynamics simulations with OpenMM and MDAnalysis. Set up protein/small molecule systems, define force fields, run energy minimization and production MD, analyze trajectories (RMSD, RMSF, contact maps, free energy surfaces). For structural biology, drug binding, and biophysics.
Efficient storage and retrieval of genomic variant data using TileDB. Scalable VCF/BCF ingestion, incremental sample addition, compressed storage, parallel queries, and export capabilities for population genomics.
Package specification compliance for Elastic integration packages. Covers manifest structure (format_version, conditions, variables, routing rules), changelog schema and semantic version bumps, and alignment with the upstream elastic/package-spec. Use when building or reviewing manifest.yml, changelog.yml, or debugging elastic-package lint/check errors on package metadata.
Use when reviewing, fixing, or improving an EXISTING Elastic integration package. Covers quality reviews, targeted fixes (pipelines, field mappings, CEL programs, manifests, changelogs), full improvement passes, and minor adjustments. Use create-integration instead when creating a new package or adding a new data stream from scratch.