claude-analytics-framework

Generate comprehensive PR descriptions from project context and git changes

Framework for when to use Skills, Agents, or Patterns for organizing knowledge in the ADLC platform with decision criteria and migration strategies

Generate dbt model boilerplate with tests, documentation, and best practices

Validate documentation completeness and quality before project completion

Initialize new ADLC project with standard directory structure, documentation templates, and git branch

Complete reference for MCP tool integration across specialist and role agents including server inventory, tool recommendations, and security protocols

Cross-Tool Integration Pattern: AWS Infrastructure + Documentation

Quality validation checklists for Claude Code configuration artifacts including agents, skills, patterns, and CLAUDE.md files with scoring rubrics

Reference for analyzing issues spanning multiple systems (dbt, Snowflake, Orchestra, Tableau) with agent coordination strategies

Cross-Tool Integration Pattern: dbt + Snowflake Model Optimization

Reference for Role to Specialist delegation patterns with MCP architecture, including quality validation, coordination protocols, and proven patterns

Cross-Tool Integration Pattern: GitHub Cross-Repository Investigation

Reference for analytics development testing patterns including unit tests, data quality tests, integration tests, and QA standards

Trace data lineage backwards from blank dashboards to identify root cause (transformation, source extraction, or dashboard config). Uses parallel agent deployment for 4x faster investigation than manual approaches.

Enforce specialist-first delegation pattern for domain-specific questions. Prevents bypassing specialist architecture by ensuring domain questions are delegated to appropriate specialists before attempting direct tool use.

Comprehensive checklist for integrating new MCP servers into the specialist and role agent ecosystem. Ensures complete integration including configuration, validation, specialist updates, documentation, and testing.

Distribute completed project work from sandbox to proper repositories using three-tier documentation architecture. Ensures code, knowledge, and patterns are extracted and properly organized when projects complete.