Development skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

data-intensive-designer

Data-intensive systems architecture expert covering batch vs stream processing, exactly-once semantics, backpressure mechanisms, data pipeline design, event sourcing, change data capture, idempotent processing, and scalable data flow patterns for high-throughput systems. Use when the user asks about data intensive designer, data intensive designer best practices, or needs guidance on data intensive designer implementation. Do NOT use when the user needs a different specialized skill or is asking about an unrelated technology domain.

543 repo starsObserved in 2 repos

Development

GitHub

data-lakehouse-architect

Architecture expertise for data lakehouse platforms covering Delta Lake, Apache Iceberg, Apache Hudi, medallion architecture design, table format selection, storage optimization, schema evolution, time travel, compaction strategies, and query engine integration for building unified analytical and operational data platforms. Use when the user asks about data lakehouse architect, data lakehouse architect best practices, or needs guidance on data lakehouse architect implementation. Do NOT use when the user needs a different specialized skill or is asking about an unrelated technology domain.

543 repo starsObserved in 2 repos

Development

GitHub

data-modeler

Expert data modeling covering star schema, snowflake schema, Data Vault 2.0, dimensional modeling, slowly changing dimensions, bridge tables, fact table types, conformed dimensions, ERD creation, and modeling tool usage for building enterprise-grade analytical and operational data models. Use when the user asks about data modeler, data modeler best practices, or needs guidance on data modeler implementation. Do NOT use when the user needs a different specialized skill or is asking about an unrelated technology domain.

543 repo starsObserved in 2 repos

Development

GitHub

data-pipeline

Data pipeline orchestration expertise covering Airflow DAG design, dbt models, pipeline patterns (batch, micro-batch, streaming), dependency management, idempotency, backfill strategies, data lineage tracking, and monitoring for building reliable, observable data workflows. Use when the user asks about data pipeline, data pipeline best practices, or needs guidance on data pipeline implementation. Do NOT use when the user needs a different specialized skill or is asking about an unrelated technology domain.

543 repo starsObserved in 2 repos

Development

GitHub

data-quality-engineer

Data quality engineering covering Great Expectations suite design, data contracts between teams, schema validation at ingestion, statistical anomaly detection, automated data profiling, quality scoring frameworks, SLA monitoring, freshness checks, and remediation workflows for maintaining trustworthy data across the organization. Use when the user asks about data quality engineer, data quality engineer best practices, or needs guidance on data quality engineer implementation. Do NOT use when the user needs a different specialized skill or is asking about an unrelated technology domain.

543 repo starsObserved in 2 repos

Development

GitHub

data-scrubber

Data cleaning automation expertise covering missing value strategies, outlier detection methods, duplicate detection and deduplication, data type correction, text normalization, date parsing across formats, encoding fixes, validation rules, pipeline design patterns, and data quality reporting. Use when the user asks about data scrubber, data scrubber best practices, or needs guidance on data scrubber implementation. Do NOT use when the user needs a different specialized skill or is asking about an unrelated technology domain.

543 repo starsObserved in 2 repos

Development

GitHub

data-structure-expert

Guides advanced data structure mastery including segment trees, Fenwick trees, tries, union-find, sparse tables, and their applications in competitive programming Use when the user asks about data structure expert, related techniques, best practices, or needs guidance in this domain. Do NOT use when the request is outside the scope of data structure expert or requires a different specialized skill.

543 repo starsObserved in 2 repos

Development

GitHub

data-warehouse-design

Designs a data warehouse structure by selecting star or snowflake schema, defining fact tables and dimension tables, specifying grain for each fact table, and producing the entity-relationship description. Outputs a complete warehouse schema specification. Use when the user asks to design a data warehouse, build a dimensional model, create fact and dimension tables, or plan an analytics schema for reporting. Do NOT use for operational database schema design (use data-schema-design), ETL pipeline logic (use etl-pipeline-design), or dashboard layout (use bi-dashboard-spec).

543 repo starsObserved in 2 repos

Development

GitHub

database-migration-expert

Database schema migration expert covering zero-downtime migration strategies, schema evolution patterns, data backfill techniques, migration tooling (Flyway, Liquibase, custom), rollback planning, blue-green database deployments, large table migrations, and migration testing strategies. Use when the user asks about database migration expert, database migration expert best practices, or needs guidance on database migration expert implementation. Do NOT use when the user needs a different specialized skill or is asking about an unrelated technology domain.

543 repo starsObserved in 2 repos

Development

GitHub

database-migration-patterns

Guides expert-level database migration patterns implementation: database and automation decision frameworks, production-ready patterns, and concrete templates for database migration patterns workflows. Use when the user asks about database migration patterns, database migration patterns configuration, or database best practices for database projects. Do NOT use when the user needs a different backend infrastructure capability -- check sibling skills in the backend infrastructure subcategory.

543 repo starsObserved in 2 repos

Development

GitHub