SkillData & Analytics
Snowflake Reliability Patterns
Implement Snowflake reliability patterns: replication, failover, Time
✳Claude Code
By jeremylongshoreOriginal project
2,881 GitHub starsMIT · FreeView skill
Installable skillMIT
dbt Transformation Patterns
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
instructions.md
--- version: 4.1.0-fractal name: dbt-transformation-patterns-7a7c95a4f7af description: Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices. --- # dbt Transformation Patterns Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing. ## Use this skill when - Building data transformation pipelines with dbt - Organizing models into staging, intermediate, and marts layers - Implementing data quality tests and documentation - Creating incremental models for large datasets - Setting up dbt project structure and conventions ## Do not use this skill when - The project is not using dbt or a warehouse-backed workflow - You only need ad-hoc SQL queries - There is no access to source data or schemas ## Instructions - Define model layers, naming, and ownership. - Implement tests, documentation, and freshness checks. - Choose materializations and incremental strategies. - Optimize runs with selectors and CI workflows. - If detailed patterns are required, open `resources/implementation-playbook.md`. ## Resources - `resources/implementation-playbook.md` for detailed dbt patterns and examples. ## 🧠 Knowledge Modules (Fractal Skills) ### 1. [implementation-playbook](./sub-skills/implementation-playbook.md)--- version: 4.1.0-fractal name: dbt-transformation-patterns-7a7c95a4f7af description: Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices. --- # dbt Transformation Patterns Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing. ## Use this skill when - Building data transformation pipelines with dbt - Organizing models into staging, intermediate, and marts layers - Implementing data quality tests and documentation - Creating incremental models for large datasets - Setting up dbt project structure and conventions ## Do not use this skill when - The project is not using dbt or a warehouse-backed workflow - You only need ad-hoc SQL queries - There is no access to source data or schemas ## Instructions - Define model layers, naming, and ownership. - Implement tests, documentation, and freshness checks. - Choose materializations and incremental strategies. - Optimize runs with selectors and CI workflows. - If detailed patterns are required, open `resources/implementation-playbook.md`. ## Resources - `resources/implementation-playbook.md` for detailed dbt patterns and examples. ## 🧠 Knowledge Modules (Fractal Skills) ### 1. [implementation-playbook](./sub-skills/implementation-playbook.md)
COMPATIBILITY & REFERENCES
Platform guidance
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.