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incident-response-incident-response事件响应 事件响应

Agent Skill

incident-response-incident-response 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

333

周安装

14

GitHub Stars

692

下载量

116
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:incident-response-incident-response(事件响应 事件响应)
来源仓库:https://github.com/rmyndharis/antigravity-skills
仓库路径:skills/incident-response-incident-response
安装命令:
npx skills add https://github.com/rmyndharis/antigravity-skills --skill incident-response-incident-response
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/rmyndharis/antigravity-skills --skill incident-response-incident-response

简介

incident-response-incident-response 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。
  • 通过 GitHub 安装,需确认权限范围和维护状态,注意是否触发联网或命令执行。
  • 安装命令为 npx skills add https://github.com/rmyndharis/antigravity-skills --skill incident-response-incident-response。
  • 建议结合原始 README 核验具体用法,避免直接依赖工具输出作为结论。

SKILL.md

Use this skill when

  • Working on incident response incident response tasks or workflows
  • Needing guidance, best practices, or checklists for incident response incident response

Do not use this skill when

  • The task is unrelated to incident response incident response
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.
  • If detailed examples are required, open resources/implementation-playbook.md.

Orchestrate multi-agent incident response with modern SRE practices for rapid resolution and learning:

[Extended thinking: This workflow implements a comprehensive incident command system (ICS) following modern SRE principles. Multiple specialized agents collaborate through defined phases: detection/triage, investigation/mitigation, communication/coordination, and resolution/postmortem. The workflow emphasizes speed without sacrificing accuracy, maintains clear communication channels, and ensures every incident becomes a learning opportunity through blameless postmortems and systematic improvements.]

Configuration

Severity Levels

  • P0/SEV-1: Complete outage, security breach, data loss - immediate all-hands response
  • P1/SEV-2: Major degradation, significant user impact - rapid response required
  • P2/SEV-3: Minor degradation, limited impact - standard response
  • P3/SEV-4: Cosmetic issues, no user impact - scheduled resolution

Incident Types

  • Performance degradation
  • Service outage
  • Security incident
  • Data integrity issue
  • Infrastructure failure
  • Third-party service disruption

Phase 1: Detection & Triage

1. Incident Detection and Classification

  • Use Task tool with subagent_type="incident-responder"
  • Prompt: "URGENT: Detect and classify incident: $ARGUMENTS. Analyze alerts from PagerDuty/Opsgenie/monitoring. Determine: 1) Incident severity (P0-P3), 2) Affected services and dependencies, 3) User impact and business risk, 4) Initial incident command structure needed. Check error budgets and SLO violations."
  • Output: Severity classification, impact assessment, incident command assignments, SLO status
  • Context: Initial alerts, monitoring dashboards, recent changes

2. Observability Analysis

  • Use Task tool with subagent_type="observability-monitoring::observability-engineer"
  • Prompt: "Perform rapid observability sweep for incident: $ARGUMENTS. Query: 1) Distributed tracing (OpenTelemetry/Jaeger), 2) Metrics correlation (Prometheus/Grafana/DataDog), 3) Log aggregation (ELK/Splunk), 4) APM data, 5) Real User Monitoring. Identify anomalies, error patterns, and service degradation points."
  • Output: Observability findings, anomaly detection, service health matrix, trace analysis
  • Context: Severity level from step 1, affected services

3. Initial Mitigation

  • Use Task tool with subagent_type="incident-responder"
  • Prompt: "Implement immediate mitigation for P$SEVERITY incident: $ARGUMENTS. Actions: 1) Traffic throttling/rerouting if needed, 2) Feature flag disabling for affected features, 3) Circuit breaker activation, 4) Rollback assessment for recent deployments, 5) Scale resources if capacity-related. Prioritize user experience restoration."
  • Output: Mitigation actions taken, temporary fixes applied, rollback decisions
  • Context: Observability findings, severity classification

Phase 2: Investigation & Root Cause Analysis

4. Deep System Debugging

  • Use Task tool with subagent_type="error-debugging::debugger"
  • Prompt: "Conduct deep debugging for incident: $ARGUMENTS using observability data. Investigate: 1) Stack traces and error logs, 2) Database query performance and locks, 3) Network latency and timeouts, 4) Memory leaks and CPU spikes, 5) Dependency failures and cascading errors. Apply Five Whys analysis."
  • Output: Root cause identification, contributing factors, dependency impact map
  • Context: Observability analysis, mitigation status

5. Security Assessment

  • Use Task tool with subagent_type="security-scanning::security-auditor"
  • Prompt: "Assess security implications of incident: $ARGUMENTS. Check: 1) DDoS attack indicators, 2) Authentication/authorization failures, 3) Data exposure risks, 4) Certificate issues, 5) Suspicious access patterns. Review WAF logs, security groups, and audit trails."
  • Output: Security assessment, breach analysis, vulnerability identification
  • Context: Root cause findings, system logs

6. Performance Engineering Analysis

  • Use Task tool with subagent_type="application-performance::performance-engineer"
  • Prompt: "Analyze performance aspects of incident: $ARGUMENTS. Examine: 1) Resource utilization patterns, 2) Query optimization opportunities, 3) Caching effectiveness, 4) Load balancer health, 5) CDN performance, 6) Autoscaling triggers. Identify bottlenecks and capacity issues."
  • Output: Performance bottlenecks, resource recommendations, optimization opportunities
  • Context: Debug findings, current mitigation state

Phase 3: Resolution & Recovery

7. Fix Implementation

  • Use Task tool with subagent_type="backend-development::backend-architect"
  • Prompt: "Design and implement production fix for incident: $ARGUMENTS based on root cause. Requirements: 1) Minimal viable fix for rapid deployment, 2) Risk assessment and rollback capability, 3) Staged rollout plan with monitoring, 4) Validation criteria and health checks. Consider both immediate fix and long-term solution."
  • Output: Fix implementation, deployment strategy, validation plan, rollback procedures
  • Context: Root cause analysis, performance findings, security assessment

8. Deployment and Validation

  • Use Task tool with subagent_type="deployment-strategies::deployment-engineer"
  • Prompt: "Execute emergency deployment for incident fix: $ARGUMENTS. Process: 1) Blue-green or canary deployment, 2) Progressive rollout with monitoring, 3) Health check validation at each stage, 4) Rollback triggers configured, 5) Real-time monitoring during deployment. Coordinate with incident command."
  • Output: Deployment status, validation results, monitoring dashboard, rollback readiness
  • Context: Fix implementation, current system state

Phase 4: Communication & Coordination

9. Stakeholder Communication

  • Use Task tool with subagent_type="content-marketing::content-marketer"
  • Prompt: "Manage incident communication for: $ARGUMENTS. Create: 1) Status page updates (public-facing), 2) Internal engineering updates (technical details), 3) Executive summary (business impact/ETA), 4) Customer support briefing (talking points), 5) Timeline documentation with key decisions. Update every 15-30 minutes based on severity."
  • Output: Communication artifacts, status updates, stakeholder briefings, timeline log
  • Context: All previous phases, current resolution status

10. Customer Impact Assessment

  • Use Task tool with subagent_type="incident-responder"
  • Prompt: "Assess and document customer impact for incident: $ARGUMENTS. Analyze: 1) Affected user segments and geography, 2) Failed transactions or data loss, 3) SLA violations and contractual implications, 4) Customer support ticket volume, 5) Revenue impact estimation. Prepare proactive customer outreach list."
  • Output: Customer impact report, SLA analysis, outreach recommendations
  • Context: Resolution progress, communication status

Phase 5: Postmortem & Prevention

11. Blameless Postmortem

  • Use Task tool with subagent_type="documentation-generation::docs-architect"
  • Prompt: "Conduct blameless postmortem for incident: $ARGUMENTS. Document: 1) Complete incident timeline with decisions, 2) Root cause and contributing factors (systems focus), 3) What went well in response, 4) What could improve, 5) Action items with owners and deadlines, 6) Lessons learned for team education. Follow SRE postmortem best practices."
  • Output: Postmortem document, action items list, process improvements, training needs
  • Context: Complete incident history, all agent outputs

12. Monitoring and Alert Enhancement

  • Use Task tool with subagent_type="observability-monitoring::observability-engineer"
  • Prompt: "Enhance monitoring to prevent recurrence of: $ARGUMENTS. Implement: 1) New alerts for early detection, 2) SLI/SLO adjustments if needed, 3) Dashboard improvements for visibility, 4) Runbook automation opportunities, 5) Chaos engineering scenarios for testing. Ensure alerts are actionable and reduce noise."
  • Output: New monitoring configuration, alert rules, dashboard updates, runbook automation
  • Context: Postmortem findings, root cause analysis

13. System Hardening

  • Use Task tool with subagent_type="backend-development::backend-architect"
  • Prompt: "Design system improvements to prevent incident: $ARGUMENTS. Propose: 1) Architecture changes for resilience (circuit breakers, bulkheads), 2) Graceful degradation strategies, 3) Capacity planning adjustments, 4) Technical debt prioritization, 5) Dependency reduction opportunities. Create implementation roadmap."
  • Output: Architecture improvements, resilience patterns, technical debt items, roadmap
  • Context: Postmortem action items, performance analysis

Success Criteria

Immediate Success (During Incident)

  • Service restoration within SLA targets
  • Accurate severity classification within 5 minutes
  • Stakeholder communication every 15-30 minutes
  • No cascading failures or incident escalation
  • Clear incident command structure maintained

Long-term Success (Post-Incident)

  • Comprehensive postmortem within 48 hours
  • All action items assigned with deadlines
  • Monitoring improvements deployed within 1 week
  • Runbook updates completed
  • Team training conducted on lessons learned
  • Error budget impact assessed and communicated

Coordination Protocols

Incident Command Structure

  • Incident Commander: Decision authority, coordination
  • Technical Lead: Technical investigation and resolution
  • Communications Lead: Stakeholder updates
  • Subject Matter Experts: Specific system expertise

Communication Channels

  • War room (Slack/Teams channel or Zoom)
  • Status page updates (StatusPage, Statusly)
  • PagerDuty/Opsgenie for alerting
  • Confluence/Notion for documentation

Handoff Requirements

  • Each phase provides clear context to the next
  • All findings documented in shared incident doc
  • Decision rationale recorded for postmortem
  • Timestamp all significant events

Production incident requiring immediate response: $ARGUMENTS

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

30.29%
按下载量换算35

windsurf

23.85%
按下载量换算28

trae

17.57%
按下载量换算20

Claude Code

13.02%
按下载量换算15

Antigravity

9.04%
按下载量换算10

qoder

3.92%
按下载量换算5

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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