cortex-router

Cortex Code Router

Route Snowflake operations to Cortex Code CLI, which has specialized bundled skills (data-quality, semantic-view, cost-intelligence, ML, governance, etc.).

CRITICAL: Follow steps 1 → 2 → 3 in order. Do NOT skip to Step 3.

Step 1: Verify CLI

which cortex 2>/dev/null && cortex --version

If cortex is NOT found:

1. Tell the user: "Cortex Code CLI is not installed. Setting it up now."
2. Load the snowflake-cortex-code:cortex-setup skill using the Skill tool.
3. STOP — do not continue until the CLI is installed.

Step 2: Confirm Routing

Run the routing script to check if this prompt should go to Cortex or stay in Claude Code:

python "${CLAUDE_PLUGIN_ROOT}/scripts/router/route_request.py" --prompt "USER_PROMPT_HERE"

Replace USER_PROMPT_HERE with the actual user prompt (shell-escaped).

Read the output carefully:

• If output says "route: cortex" → proceed to Step 3
• If output says "route: claude" → STOP. Handle the request yourself using Claude Code tools (sql_execute, Read, Write, etc.). Do NOT run execute_cortex.py.

Step 3: Execute via Cortex Code

Only reach this step if Step 2 confirmed routing to Cortex.

Choose a security envelope based on the operation:

• RO: Read-only queries (SELECT, SHOW, DESCRIBE) — won't run DDL or DML
• RW: Data modifications, DDL (CREATE, ALTER, DROP) — default for most operations
• RESEARCH: Read + web access, no writes
• DEPLOY: Full access (use sparingly)

Default to RW unless the request is clearly read-only.

python "${CLAUDE_PLUGIN_ROOT}/scripts/router/execute_cortex.py" \
  --prompt "USER_PROMPT_HERE" \
  --envelope "RW"

Add --connection CONNECTION_NAME if a specific Snowflake connection is needed.

Multi-turn: --resume-last vs fresh

Every cortex invocation returns a session_id that the router persists. Follow-up turns can resume that session so Cortex sees the prior conversation -- real multi-turn, not one-shot batches per prompt.