metodologia-analytics-engineering
CommunityDesign analytics pipelines with dbt-style rigor.
AuthorJaviMontano
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Analytics engineering design is often ad-hoc, leading to inconsistent layer architectures, brittle pipelines, and weak governance across data stacks.
Core Features & Use Cases
- Layered architecture (staging, intermediate, marts) with explicit naming (stg_, int_, fct_, dim_).
- Data modeling patterns (star schema, SCDs, bridge tables) and materialization strategies.
- Transformation framework alignment (dbt-based workflows, testing pyramid, contracts, and exposures).
- Documentation and discovery integration (dbt docs, data catalogs, lineage).
- Performance and cost optimization (partitioning, clustering, query tagging, slim CI).
- Multi-warehouse governance and cross-team collaboration.
Quick Start
Describe your project context to generate a complete analytics engineering blueprint.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: metodologia-analytics-engineering Download link: https://github.com/JaviMontano/metodologia-propuesta-agent-public/archive/main.zip#metodologia-analytics-engineering Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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