Discover tools data engineering skills, compare source repositories and read the instructions for each workflow.
Audit pilot data, models, and workflows for bias and inclusivity issues. Use when evaluating fairness across demographic groups, identifying algorithmic biases, and recommending mitigation strategies to ensure...
Design and generate visual dashboards to present pilot insights and trends. Use when creating executive summaries, interactive or static dashboard layouts, and report visualizations for stakeholder review.
Explore and analyze pilot data sets to uncover patterns, anomalies, and initial insights. Use when performing ad-hoc data investigations, validating data quality, or preparing exploratory visualizations for hyp...
Optimize ClickHouse queries for speed and efficiency. Helps with primary key design, sparse indexes, data skipping indexes (minmax, set, bloom filter, ngrambf_v1), partitioning strategies, projections, PREWHERE...
Design and manage Kafka message schemas with type safety and schema evolution. Use when defining event schemas, creating schema validators, managing versions, and generating type-safe Pydantic/msgspec models fr...
Develop and manage data ingestion, processing, and transformation pipelines for pilot projects. Use when automating ETL workflows, integrating new data sources, or building canonical datasets to support downstr...
Transforms and maps data between different stages of the pipeline (Miner -> Appraiser).
Assess data privacy and compliance risks in pilot data workflows and outputs. Use when evaluating data handling practices, consent requirements, and privacy regulations for pilot initiatives.
Create, alter, and validate Snowflake semantic views using Snowflake CLI (snow). Use when asked to build or troubleshoot semantic views/semantic layer definitions with CREATE/ALTER SEMANTIC VIEW, to validate se...
A specialized guide for Serverless Postgres development, enforcing connection pooling, schema-as-code, and MCP-driven database inspection.
Analyze Lotus Notes NSF database file structure, data models, views, forms, and relationships. Use when understanding NSF database composition, mapping field structures, identifying data dependencies, extractin...
Generates secure, owner-only admin dashboards for PostgreSQL or MongoDB. Capable of handling schema definitions, operational tasks, and basic CRUD, with flexible security models.
Systematic data format migration and versioning for backward-compatible schema changes. Use when adding version field, migrating data formats (JSON, YAML, SQLite), supporting multiple schema versions, or upgrad...
Enforce data quality rules and validations on pilot data streams and repositories. Use when checking for missing values, schema compliance, consistency issues, or anomalies before analysis and reporting.
Metabase Dev環境からデータを取得・エクスポートするSkill。フルスキャンクエリを検出し、最適化を提案します。
Guide for implementing real-time data aggregation and transformation pipelines using ClickHouse materialized views. Use when building real-time dashboards, streaming analytics, metrics aggregation, event proces...
TanStack Query を使って勤怠データを扱う。queryKey設計、infinite/pagination、mutation、楽観更新、エラー/リトライ、キャッシュ無効化の運用を固定する。
Implement type-safe Kafka consumers for event consumption with msgspec deserialization. Use when building async consumers that process domain events (order messages, transactions) with offset management, error...
Complete ClickHouse operations guide for DevOps and SRE teams managing production deployments. Provides practical guidance on monitoring essential metrics (query latency, throughput, memory, disk), introspectin...
Implement defense-in-depth validation patterns for ClickHouse + Kafka data pipelines. Covers producer validation (msgspec schemas), consumer validation (anti-corruption layers), ClickHouse error streaming (kafk...
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. Provides intelligent header detection and semantic column mapping for robust da...
Data analysis workflows and patterns for processing, analyzing, and visualizing data using Python data science libraries.
Data access patterns, Scaling, Migrations, and ORM selection.
Analyze slow queries and index recommendations.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.