Respond

作者 Rootly-AI-Labs65832aa6ff7a无许可证收录于 2026年10月8日更新于 2026年10月8日

[experimental] Investigate and respond to a production incident. Pulls context, finds similar past incidents, suggests solutions, and enables coordination. Forked-subagent flow may not have MCP access in all Claude Code contexts -- prefer /rootly:status + /rootly:brief for now.

仅含说明DevOps & Cloud
AI 生成的概览

通过 Rootly MCP 工具调查生产事故,汇总上下文、相似历史事故与建议方案,生成响应简报。

功能
这个实验性技能引导智能体调查由 UUID 或顺序编号标识的生产事故。它会解析事故、获取完整记录、告警详情、历史相似事故、建议解决方案和值班状态,然后输出结构化的事故响应简报,包含时间线、相关事故、按置信度排序的方案和响应人员。严重级别变更、响应人员调整、状态更新和升级等写操作仅作为建议提出,必须获得用户明确批准。
适用场景
适用于需要调查生产事故并生成统一响应简报的场景,例如值班响应或事故分诊。也适合在采取行动前查找相似的历史事故和候选解决方案。该技能说明其仍属实验性,且在某些环境中 fork 子智能体流程可能无法访问 MCP,此时建议改用内联替代方式。
运行要求
需要 Rootly MCP 工具(mcprootly*)以及带有 rootly:incident-investigator 智能体的 fork 上下文;不附带脚本。需要事故标识符或可访问活动事故,写操作需用户明确确认。

Incident Response (experimental)

Experimental: this skill uses context: fork to delegate to the incident-investigator agent. In some Claude Code contexts the forked subagent does not inherit the plugin's MCP tools, in which case the agent will stop and report rather than fall back to bash/curl. If that happens, use the inline alternatives:

  • /rootly:brief <incident> — stakeholder summary
  • /rootly:status — service health
  • /rootly:oncall — current responders

You are helping the user investigate and respond to a production incident. This runs in a forked context to keep incident data separate from the main coding session.

Workflow

1. Identify the Incident

If $ARGUMENTS contains an incident reference:

  1. If it is already a UUID (36-char hex with hyphens), use it directly with mcp__rootly__getIncident.
  2. If it looks like a sequential reference (4460, #4460, INC-4460), resolve to UUID via MCP:
    • Normalize it to the exact incident number format INC-<number> (for example, 4460 becomes INC-4460).
    • Call mcp__rootly__list_incidents with page_size=100, page_number=1, and sort=-created_at.
    • Scan the returned incidents array for an exact incident_number match. If found, use the corresponding incident_id as the UUID.
    • If page 1 does not contain the match, use page 1's newest incident_number to estimate the likely page for the target incident number, then call mcp__rootly__list_incidents for that page and at most one adjacent page.
    • On every page, match only on incidents[*].incident_number and use the paired incident_id when you find the exact match.
    • If the exact incident number is still not found quickly, stop and ask the user for the incident UUID instead of scanning indefinitely.
  3. Use the resolved UUID for all subsequent MCP calls.
  4. Never use mcp__rootly__search_incidents for numeric incident resolution, because that tool searches title/summary text rather than incident numbers.
  5. Never walk paginated lists indefinitely. If the sequential number isn't found in the bounded lookup above, ask the user for the UUID.

If no incident ID provided:

  1. Call mcp__rootly__search_incidents filtered to active status (started)
  2. If no active incidents, report "No active incidents found" and stop
  3. If multiple active incidents, list them sorted by severity (critical first, then high, then medium, then low) and ask the user to select one
  4. For long lists, show critical/high severity first with a note about additional lower-severity incidents

2. Gather Full Context

Once you have the incident ID:

  1. Call mcp__rootly__getIncident to get the full incident record
  2. Call mcp__rootly__get_alert_by_short_id or search alerts for associated alert details and timeline
  3. Call mcp__rootly__find_related_incidents to find historically similar incidents
  4. Call mcp__rootly__suggest_solutions to get resolution recommendations
  5. Call mcp__rootly__get_oncall_handoff_summary for current team status

3. Present Response Brief

## Incident Response Brief
### Summary**[Incident title]** (ID: [id])- **Status**: [status] | **Severity**: [severity]- **Started**: [time] ([duration] ago)- **Affected services**: [list]
### Timeline[Key events from alert and incident data, chronological]
### Related Historical Incidents[Top matches from find_related_incidents]- [Incident title] ([date]) - Confidence: [score] - Resolution: [what fixed it][If all scores < 0.3: "Low confidence matches -- manual investigation recommended"]
### Suggested Solutions[From suggest_solutions, ranked by confidence]1. [Solution] (confidence: [score], source: [incident/runbook])
### Current Responders & On-Call- **Assigned**: [responders]- **On-call**: [name] (since [time])- **Next handoff**: [time]
### Available ActionsThe following actions require your explicit approval:- Update severity- Add responder- Post status update- Escalate to next on-call

4. Human-in-the-Loop for Write Operations

CRITICAL: NEVER execute write operations automatically. Always present them as recommendations and wait for explicit user confirmation.

Write operations include:

  • updateIncident (changing severity, status, or any incident field)
  • Adding or removing responders
  • Posting status updates
  • Escalating incidents
  • Any other mutation of Rootly data

When the user approves an action, execute it and report the result.

5. Error Handling

  • MCP tool errors: Report the specific error message and suggest manual steps (e.g., "Check the Rootly dashboard directly")
  • Low confidence results: If find_related_incidents returns scores below 0.3, explicitly flag: "These matches are low confidence -- consider manual investigation"
  • Missing data: If any tool call returns empty results, note it and continue with available data rather than failing entirely

来源与署名

来源:Rootly-AI-Labs/rootly-claude-plugin位于skills/respond提交65832aa

许可证: 无许可证

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