发现 devops data engineering 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
This skill should be used when generating detailed experimental procedures from LA-Bench format JSONL files. It orchestrates multiple subagents to parse input data, fetch reference materials, generate procedure...
Process vehicle insurance Excel data using Pandas - file handling, data cleaning, merging, validation. Use when processing Excel/CSV files, handling data imports, implementing business rules (negative premiums,...
Data governance strategy, quality validation rules, and data dictionary management for vehicle insurance platform. Use when defining data quality standards, implementing validation rules, managing field mapping...
Expert guidance for Apache NiFi data integration platform including flow design, processors, controller services, process groups, NiFi Registry integration, and cluster configuration. Use this when working with...
This skill provides tools and templates for analyzing datasets and generating insights.
Quality assurance orchestrator that refines outputs from other skills using standards-based evaluation and iterative improvement.
Business intelligence expert - creates actionable insights, visualizations, and executive reports from GabeDA model outputs. Identifies data gaps and recommends new features.
This skill should be used when modifying the database schema, running Prisma migrations, querying the database with Prisma ORM, or working with PostgreSQL in the ClaudeCode Sentiment Monitor project. Specifical...
Expert guidance for Apache NiFi Registry including flow versioning, buckets, Git integration, security, and registry client configuration. Use this when working with flow version control and registry management...
BigQuery integration patterns for CA Lobby lobby data with BLN API schema. Use when working with CA Lobby backend, database queries, or data service. Provides CA-specific BigQuery patterns and Flask integration...
Analyzes Snowflake query performance, identifies optimization opportunities, and provides cost reduction recommendations. Use when user needs to optimize slow queries, reduce Snowflake costs, analyze query prof...
Automatically optimize Supabase PostgreSQL queries by analyzing execution plans, adding indexes, and improving RLS policies. Triggers when user mentions slow queries, performance issues, or query optimization.
Analyzes distributed systems using Prometheus (PromQL), Loki (LogQL), and Tempo (TraceQL). Constructs efficient queries for metrics, logs, and traces. Interprets results with token-efficient structured output....
Analyzes dbt model dependencies, traces upstream sources and downstream consumers, identifies circular dependencies, and visualizes data lineage. Use when user asks about model dependencies, wants to understand...
Comprehensive diagnostic tool for troubleshooting OADP/Velero backup and restore problems with automated checks and recommendations.
Database integration patterns for SQL and NoSQL databases. Use when working with database schemas, queries, migrations, or ORM configurations. Supports PostgreSQL, BigQuery, MongoDB, MySQL with progressive disc...
Persistent state management using AgentDB (DuckDB) for workflow analytics and checkpoints. Provides read-only analytics cache synchronized from TODO_*.md files, enabling: - Complex dependency graph queries - H...
Analyze PostgreSQL/Supabase database schemas for design quality, security, performance, and best practices. Use when reviewing schemas, migrations, RLS policies, or when user mentions database design, indexing,...
Design complete database schemas with tables, relationships, constraints, and indexes for Supabase. Triggers when user describes data models, entities, or requests schema design.
SQL data access best practices for AIRBot reviewers
Create and manage database schema changes through versioned migration files with proper rollback support, zero-downtime deployment considerations, and backwards compatibility. Use this skill when creating migra...
Complete workflow for implementing data services and database architecture after the Implementer Agent has completed use cases. Provides rigorous step-by-step processes for making data service tests pass throug...
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data mode...
Write secure, performant database queries using parameterized statements, proper indexing, eager loading, and transaction management to prevent SQL injection and N+1 query problems. Use this skill when writing...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。