Analyzes dbt projects for best practices, performance, maintainability, and generates actionable recommendations for improvement.
Scanned 9/2/2026
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---
name: dbt-project-analyzer
description: Analyzes dbt projects for best practices, performance, maintainability, and generates actionable recommendations for improvement.
version: 1.0.0
category: Transformation
skill-id: SK-DEA-003
allowed-tools: Read, Grep, Glob, Bash, WebFetch
graph:
domains: [domain:data-engineering]
specializations: [specialization:data-engineering-analytics]
skillAreas: [skill-area:dbt-modeling, skill-area:data-warehouse-modeling]
roles: [role:analytics-engineer, role:data-engineer]
workflows: [workflow:data-pipeline-deployment]
---
# dbt Project Analyzer
Analyzes dbt projects for best practices, performance, and maintainability following dbt Labs recommended patterns.
## Overview
This skill examines dbt project structure, model dependencies, test coverage, documentation completeness, and adherence to naming conventions. It provides actionable recommendations for improving project health and maintainability.
## Capabilities
- **Model dependency graph analysis** - Visualize and analyze model relationships, detect circular dependencies
- **Incremental model optimization** - Evaluate incremental strategies and suggest improvements
- **Materialization strategy recommendations** - Recommend optimal materializations based on usage patterns
- **Test coverage analysis** - Measure and report on test coverage across models
- **Documentation completeness check** - Identify undocumented models, columns, and sources
- **Naming convention validation** - Enforce consistent naming patterns (staging, marts, intermediate)
- **Ref/source usage validation** - Detect hardcoded references and missing source definitions
- **Macro efficiency analysis** - Evaluate macro usage and suggest optimizations
- **Slim CI optimization** - Configure efficient CI builds with state comparison
- **Model contract validation** - Verify model contracts for type safety
## Input Schema
```json
{
"projectPath": {
"type": "string",
"description": "Path to the dbt project root directory",
"required": true
},
"manifestJson": {
"type": "object",
"description": "Parsed manifest.json from target/ directory (optional, will be loaded if not provided)"
},
"catalogJson": {
"type": "object",
"description": "Parsed catalog.json from target/ directory (optional)"
},
"runResults": {
"type": "object",
"description": "Parsed run_results.json for performance analysis (optional)"
},
"analysisDepth": {
"type": "string",
"enum": ["quick", "standard", "deep"],
"default": "standard",
"description": "Depth of analysis to perform"
},
"focusAreas": {
"type": "array",
"items": {
"type": "string",
"enum": ["performance", "testing", "documentation", "naming", "incremental", "dependencies"]
},
"description": "Specific areas to focus analysis on (all if not specified)"
}
}
```
## Output Schema
```json
{
"healthScore": {
"type": "number",
"description": "Overall project health score (0-100)"
},
"issues": {
"type": "array",
"items": {
"severity": "error|warning|info",
"category": "string",
"model": "string",
"message": "string",
"recommendation": "string",
"line": "number"
}
},
"metrics": {
"testCoverage": {
"type": "number",
"description": "Percentage of models with tests"
},
"docCoverage": {
"type": "number",
"description": "Percentage of models/columns documented"
},
"incrementalRatio": {
"type": "number",
"description": "Percentage of eligible models using incremental"
},
"avgModelDepth": {
"type": "number",
"description": "Average depth in DAG"
},
"totalModels": {
"type": "number"
},
"totalTests": {
"type": "number"
}
},
"recommendations": {
"type": "array",
"items": {
"priority": "high|medium|low",
"category": "string",
"description": "string",
"effort": "string",
"impact": "string"
}
},
"dependencyGraph": {
"type": "object",
"description": "Simplified dependency graph for visualization"
}
}
```
## Usage Examples
### Basic Project Analysis
```bash
# Invoke skill for standard analysis
/skill dbt-project-analyzer --projectPath ./my-dbt-project
```
### Deep Analysis with Focus Areas
```json
{
"projectPath": "./analytics",
"analysisDepth": "deep",
"focusAreas": ["performance", "testing", "incremental"]
}
```
### CI Integration Analysis
```json
{
"projectPath": "./dbt_project",
"manifestJson": "./target/manifest.json",
"runResults": "./target/run_results.json",
"focusAreas": ["performance"]
}
```
## Analysis Rules
### Naming Conventions
| Layer | Pattern | Example |
|-------|---------|---------|
| Staging | `stg_<source>__<entity>` | `stg_stripe__payments` |
| Intermediate | `int_<entity>_<verb>` | `int_payments_pivoted` |
| Marts | `fct_<entity>` or `dim_<entity>` | `fct_orders`, `dim_customers` |
### Test Coverage Requirements
| Severity | Condition |
|----------|-----------|
| Error | No unique/not_null test on primary key |
| Warning | < 50% columns have tests |
| Info | Missing relationship tests |
### Materialization Guidelines
| Model Type | Recommended | Reason |
|------------|-------------|--------|
| Staging | View or Ephemeral | Source transformations, low compute |
| Intermediate | Ephemeral | Reduce warehouse clutter |
| Marts | Table or Incremental | End-user queries, performance |
| Large tables (>1M rows) | Incremental | Reduce build time |
## Integration Points
### MCP Server Integration
This skill integrates with the official dbt MCP server for enhanced capabilities:
- **dbt-labs/dbt-mcp** - Project metadata discovery, model information, semantic layer querying
- **dbt Remote MCP Server** - Cloud-hosted dbt MCP with secure endpoint access
### Applicable Processes
- dbt Project Setup (`dbt-project-setup.js`)
- dbt Model Development (`dbt-model-development.js`)
- Metrics Layer (`metrics-layer.js`)
- Incremental Model Setup (`incremental-model.js`)
## References
- [dbt Best Practices](https://docs.getdbt.com/best-practices)
- [dbt Style Guide](https://github.com/dbt-labs/corp/blob/main/dbt_style_guide.md)
- [dbt Project Maturity](https://docs.getdbt.com/guides/best-practices/how-we-structure/1-guide-overview)
- [dbt MCP Server](https://github.com/dbt-labs/dbt-mcp)
## Version History
- **1.0.0** - Initial release with core analysis capabilities
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