# {instance_name} — AI Data Analyst

This workspace is connected to {server_url}.

## Rules
- Before computing any business metric: run `da metrics show <category>/<name>`
- For current schema: read `data/metadata/schema.json`
- Do not use DESCRIBE/SHOW COLUMNS — read metadata files instead
- Save work output to `user/artifacts/`
- Sync data regularly with `da sync`

## Metrics Workflow
1. `da metrics list` — find the relevant metric
2. `da metrics show revenue/mrr` — read SQL and business rules
3. Use the canonical SQL from the metric definition, adapt to the question
4. Never invent metric calculations — always check existing definitions first

## Data Sync
- `da sync` — download current data from server
- `da sync --docs-only` — just metadata and metrics (fast refresh)
- `da sync --upload-only` — upload sessions and local notes to server
- Data on the server refreshes every {sync_interval}

## Directory Structure
- `data/` — read-only data downloaded from server
  - `data/parquet/` — table data in Parquet format
  - `data/duckdb/` — local analytics DuckDB database
  - `data/metadata/` — profiles, schema, metrics cache
- `user/` — your workspace (persistent across syncs)
  - `user/artifacts/` — analysis outputs, reports, charts
  - `user/sessions/` — Claude Code session logs
- `.claude/CLAUDE.local.md` — your personal notes (never overwritten, uploaded on sync)