Triage Monte Carlo alerts interactively or build an automated workflow. Fetch, score, and troubleshoot alerts using MCP tools now, or design a reusable workflow that runs on a schedule.
Scanned 9/11/2026
Install to Claude Code
npx -y skills add ranbot-ai/awesome-skills --skill automated-triage --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: automated-triage
description: Triage Monte Carlo alerts interactively or build an automated workflow. Fetch, score, and troubleshoot alerts using MCP tools now, or design a reusable workflow that runs on a schedule.
category: Document Processing
source: antigravity
tags: [mcp, ai, agent, automation, workflow, design, document, security]
url: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/automated-triage
---
# Monte Carlo Automated Triage
This skill helps you design, test, and deploy an automated triage agent for Monte Carlo alerts. Rather than a fixed workflow, it gives you the building blocks — a set of MCP tools, a description of each triage stage, and a working example — so you can build a process that matches how your team actually responds to alerts.
> **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.
Read the reference files before proceeding:
- Triage stages and customisation: `references/triage-stages.md` (relative to this file)
- Working example workflow: `references/triage-example.md` (relative to this file)
---
## When to activate this skill
Activate when the user:
- Wants to triage or investigate recent Monte Carlo alerts (interactively or automated)
- Wants to set up automated triage for Monte Carlo alerts
- Asks to run agentic triage or investigate recent alert activity
- Wants to understand what triage tools are available and how to use them
- Is building or refining a triage prompt for their environment
- Wants to move from manual alert review to automated or semi-automated triage
## When NOT to activate this skill
Do not activate when the user is:
- Investigating a specific known incident (help them directly)
- Creating or configuring monitors (use the monitoring-advisor skill)
- Running impact analysis before a code change (use the prevent skill)
---
## Available MCP tools
All tools are available via the `monte-carlo-mcp` MCP server.
| Tool | Toolset | Purpose |
| -------------------------------- | -------- | --------------------------------------------------------------- |
| `get_alerts` | default | Fetch recent alerts for a time window |
| `alert_assessment` | default | Score an alert by incident likelihood and potential impact (HIGH/MEDIUM/LOW each) |
| `run_troubleshooting_agent` | default | Run the Monte Carlo Troubleshooting Agent on a single alert; async by default — returns immediately, reuses existing results when available |
| `get_troubleshooting_agent_results` | default | Poll an async troubleshooting run by `incident_id`; returns status (`not_found`/`running`/`success`/`failed`) and results when complete |
| `update_alert` | default | Update an alert's status and/or declare an incident by setting severity |
| `set_alert_owner` | default | Assign an owner to an alert by email |
| `create_or_update_alert_comment` | default | Post or update a triage comment on an alert |
| `mark_event_as_normal` | default | Mark all anomaly events in an alert as normal, triggering ML threshold recalibration to prevent re-alerting on the same pattern |
---
## How to approach automated triage
Read `references/triage-stages.md` for a full description of each stage and how to customise it. The high-level flow is:
1. **Fetch alerts** — decide which alerts to triage and over what time window
2. **Initial investigation** — score every alert by incident likelihood and potential impact using `alert_assessment`
3. **Deep troubleshooting** — run `run_troubleshooting_agent` on high-signal alerts to get root cause analysis
4. **Classify** — use the troubleshooting output to classify each alert
5. **Take actions** — post comments, update statuses, message Slack, create tickets
The triage process is not fixed. Read the stages reference to understand the options and tradeoffs at each step, then design a workflow that fits your team's needs.
## The longer-term direction
Most teams move through roughly the same arc, though the pace and path vary:
- **Start with recommendations.** Run manually and have the agent post comments describing what it found and what it would do — no actual status changes or external actions. Use this to tune the workflow until the output matches how your team would respond manually.
- **Automate, still in recommendation mode.** Once the output looks right, put it on a schedule. Keep it in recommendation mode while you validate it's behaving well on real traffic.
- **Replace recommendati
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