Skill UI

This skill integrates with Monte Carlo's observability platform to provide a comprehensive health report for data assets. It checks critical metrics including data freshness, active alerts, monitoring coverage, asset importance, and the health of upstream dependencies. Activates when users inquire about the status, reliability, or quality of a data table.

A structured, horizontal-swipe presentation template designed for comprehensive weekly team reporting. This deck systematically covers key operational areas, including features completed (Shipped), ongoing project progress (In flight), major roadblocks (Blocked), performance metrics (KPIs), and actionable items requiring support (Asks). It is ideal for standardizing weekly status updates and executive reporting.

Provides a stable, single-call interface to dump all operational cost data. This includes total spending, usage per model tier, budget status, top sessions, and federation aggregates. Output is reliable JSON or Markdown, making it ideal for other plugins, automated dashboards, or programmatic consumption.

This skill runs a single, simulated tick of a defined business pod (Sales). It is designed for dry-run testing, allowing users to validate inputs, resolve agents, and reserve budgeted resources without invoking real LLM workers. It handles template loading, schema validation, budget management, and emits structured status reports for subsequent workflow consumption.

This skill guides users through evidence-based terminal operations. It is designed for scenarios requiring direct command execution, Git status checks, debugging CI/build failures, and pushing narrow, verified fixes. It emphasizes following a structured, minimal-scope workflow and accurately reporting the repository's current state (e.g., local changes vs. pushed code).

This tool provides a comprehensive overview of your project's memory usage across all associated memory systems. It reports metrics such as line counts, topic file counts, capacity limits, stale entries, and actionable recommendations to help maintain memory integrity and optimize performance.