/automated-triage
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.
$ npx -y skills add sickn33/antigravity-awesome-skills --skill automated-triage --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/automated-triage
Context preview
The summary Claude sees to decide when to auto-load this skill.
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.
SKILL.md
automated-triage.SKILL.mdname: 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.
risk: critical
source: https://github.com/monte-carlo-data/mc-agent-toolkit/tree/main/skills/automated-triage
source_repo: monte-carlo-data/mc-agent-toolkit
source_type: community
date_added: 2026-07-01
license: Apache-2.0
license_source: https://github.com/monte-carlo-data/mc-agent-toolkit/blob/main/LICENSE
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 recommendations with actions.** When you're confident, swap the comment recommendations for real actions — status updates, Slack messages, ticket creation.
Don't force this progression — it's a direction, not a checklist. The path will depend on how your environment behaves and how much trust you want to build before each step.
---
Activation flow
When this skill is activated, follow this sequence in order.
Step 1: Check MCP tools
Verify that `get_alerts`
Read more
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. risk: critical source: https://github.com/monte-carlo-data/mc-agent-toolkit/tree/main/skills/automated-triage source_repo: monte-carlo-data/mc-agent-toolkit source_type: community date_added: 2026-07-01 license: Apache-2.0 license_source: https://github.com/monte-carlo-data/mc-agent-toolkit/blob/main/LICENSE
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 recommendations with actions.** When you're confident, swap the comment recommendations for real actions — status updates, Slack messages, ticket creation.
Don't force this progression — it's a direction, not a checklist. The path will depend on how your environment behaves and how much trust you want to build before each step.
---
Activation flow
When this skill is activated, follow this sequence in order.
Step 1: Check MCP tools
Verify that `get_alerts`
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