When to Use

• Use when this upstream workflow matches the user's stated goal.
• Use when the task requires the procedures documented in this skill.

Monte Carlo Context Detection

This skill determines which Monte Carlo skill or workflow best fits the user's current context. It activates reactively for ambiguous or multi-step data-related messages, gathers signals, and routes to the right skill or workflow.

Monte Carlo tool routing (required): Always call Monte Carlo MCP tools through this plugin's bundled server, whose fully-qualified tool names are mcp__plugin_mc-agent-toolkit_monte-carlo-mcp__<tool> (e.g. mcp__plugin_mc-agent-toolkit_monte-carlo-mcp__get_alerts). Bare tool names used in this skill (get_alerts, search, get_table, …) refer to that bundled server. If the session also has a separately-configured monte-carlo-mcp server, do not route to it — it may point at a different endpoint or credentials.

Reference file for signal definitions: references/signal-definitions.md (relative to this file). Read it before routing.

When to activate this skill

This skill is activated by the CLAUDE.md routing table when:

• The user's message relates to data quality, alerts, incidents, coverage, or Monte Carlo — but doesn't clearly match a single skill in the routing table
• The user's intent is ambiguous or could span multiple skills
• The user asks a broad question like "help me with my data" or "what's going on?"

When NOT to activate this skill

• A skill or workflow is already active in the conversation — the active skill owns the conversation, do not intercept
• The user's message clearly matches a single skill in the CLAUDE.md routing table — route directly, no need for context detection
• The user is editing a dbt model — defer to the prevent skill which auto-activates via hooks
• The user's message is not data-related at all

Workflow: Reactive Routing

This skill is purely reactive — it activates for ambiguous or multi-step data-related messages and routes them.

Follow these steps in order.

Step 0: Fast-path clear intent (stop early if matched)

Before doing anything else, check whether the user's message unambiguously matches a single existing skill. If so, skip the rest of this workflow and immediately load that skill — do NOT read references/signal-definitions.md, do NOT make API probes.

Context-detection is for ambiguous requests only. If the request is clear, routing through this skill wastes turns and tokens.

If no clear match, proceed to Step 1.

Step 1: Categorize intent

Read references/signal-definitions.md for the full signal catalog. Determine which category the user's message falls into:

Step 2: Gather scope (only if needed)

• Specific asset known (from file context or user mention) → proceed to Step 3

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