nixtla-schema-mapper
Transform data sources to Nixtla schema (unique_id, ds, y) with column inference. Use when preparing data for forecasting. Trigger with 'map to Nixtla schema' or 'transform data'.
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Transform data sources to Nixtla schema (unique_id, ds, y) with column inference. Use when preparing data for forecasting. Trigger with 'map to Nixtla schema' or 'transform data'.
Analyzes data sources and generates Nixtla-compatible schema transformations. Infers column mappings, creates transformation modules for CSV/SQL/Parquet/dbt sources, generates schema contracts, and validates da...
This describes how to create Parquet files in C#, including updating and multi threaded creation
This skill provides PostgreSQL-specific patterns for database design, optimization, and transaction management
Use when processing 50+ items, analyzing CSV/log files, executing code in sandbox, or searching for tools. Load for data processing tasks. Achieves 98%+ token savings via in-sandbox execution, progressive discl...
Master Temporal CLI workflow management with smart query building, payload decoding, and history filtering using temporal, base64, and jq
Track query execution using real-time resources, analyze query bands, access query logs, and identify performance patterns across the Teradata system
Monitor active Teradata sessions using real-time resources, view SQL execution details, identify blocking issues, and optionally take control actions
Comprehensive data profiling and quality assessment using Teradata ClearScape Analytics descriptive statistics functions
Design event-driven architectures using Kafka, RabbitMQ, event sourcing, CQRS, and saga patterns. Activates when users need help with event-driven design, message queues, event sourcing, or asynchronous communi...
Comprehensive guide for implementing Supabase Realtime features with best practices, scalable patterns, and migration strategies. Use when building realtime features in Supabase applications including messaging...
Guide for working with IndexedDB database operations in the DEVS platform. Use this when asked to add database tables, modify schemas, or work with data persistence.
Use DuckDB to query Parquet files, inspect metadata, join tables, and convert results to pandas for analysis; commonly precedes ydata-eda-profiling for EDA on extracted tables.
Generate and compare ydata-profiling EDA reports with sampling, consistent random seeds, and HTML outputs; often follows duckdb-parquet-lab-workflow when data is queried from Parquet.
Analyze, filter, transform, and convert log files using Kelora. Use for parsing logs, extracting patterns, investigating incidents, calculating metrics, or converting formats.
Expert guide for Supabase integration - database schemas, RLS policies, auth, Edge Functions, and real-time subscriptions. Use when working with Supabase backend features.
Define KPIs, build performance dashboards, track metrics, and drive data-driven decisions
Plan and execute data migrations, system migrations, and platform transitions
Parallel thread/DuckLake discovery with XOR uniqueness from gay_seed. Finds "say" or MCP usage, cross-refs with all DuckDB sources, launches bounded parallel ops.
DuckDB time-travel queries for temporal versioning and causality tracking
DuckDB file discovery agent with verified absolute paths
Extract hidden Amp API patterns from local thread data via DuckDB analysis
Run CodeQL static analysis for security vulnerability detection, taint tracking, and data flow analysis. Use when asked to analyze code with CodeQL, create CodeQL databases, write custom QL queries, perform sec...
Layer 3: Temporal Versioning and ACSet Schema Generation for DuckDB
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.