Bootstrap a nao agent for a project — gather warehouse + scope + extra-context info in one round, look up the warehouse-specific config from nao docs, write nao_config.yaml, run nao init + nao sync, set up the LLM key, and generate the first RULES.md. Use…
getnao/nao
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Wire a nao project's context folder to a remote nao instance (Cloud or self-hosted) so every push to `main` automatically runs `nao deploy` via GitHub Actions. Use when the user has a working local nao project versioned in Git and wants their team's deployed…
Create or update browser-rendered custom nao chart modules in agent/charts.
Create or extend a nao project's RULES.md. Owns the RULES.md template. Use when the user wants to generate the initial RULES.md from synced metadata (called by setup-context), or improve their existing RULES.md. Do not use for first-time scope setup (use…
Wire a semantic layer into a nao agent so that metric queries are routed through a single source of truth. Supports dbt MetricFlow (dbt Cloud with Semantic Layer), Snowflake (views or semantic views via MCP), an in-house nao YAML semantic layer, or other…
Diagnose the health of a nao context at any stage of its lifecycle. Use when the user wants a structured review of what's been synced, how RULES.md compares to the target structure, whether every table is documented, whether the data model is MECE, whether…
Generate a test suite of natural-language → SQL pairs that becomes the quality benchmark for a nao agent, then run it via `nao test`. Use when the user wants to start measuring agent reliability, extend an existing test suite, or add tests for new metrics.…