🎯Skills6
Generates and maintains RULES.md files for nao projects, providing a structured template covering business overview, data architecture, core data models, key metrics, date filtering, and analysis processes to guide the nao AI agent.
Generates natural-language-to-SQL test suites as quality benchmarks for nao agents, validating agent reliability by executing both agent and expected SQL then diffing result data row-by-row.
Diagnoses the health of a nao analytics agent context by running six structured checks: synced context, RULES.md structure, table coverage, data model consistency (MECE), test coverage, and bloat detection, then outputs a prioritized fix plan.
Initializes and configures a nao analytics agent project, connecting your data warehouse, repos, and docs to build a file-system-like context that enables natural language analytics queries.
A nao skill for building and deploying analytics agents, enabling natural language queries over your data warehouse with context engineering, evaluation frameworks, and self-hosted deployment options.
Part of nao, an open-source framework for building and deploying analytics agents. Provides context for deploying analytics agent UIs and configuring data sources, metadata, modeling rules, and tools for natural-language-to-insights workflows.