openclaw-skills/incident-commander/SKILL.md
Author: Claude Skills Team Version: 1.0.0 Last Updated: February 2026.
npx skillsauth add seaworld008/commonly-used-high-value-skills incident-commanderInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Category: Engineering Team
Tier: POWERFUL
Author: Claude Skills Team
Version: 1.0.0
Last Updated: February 2026
The Incident Commander skill provides a comprehensive incident response framework for managing technology incidents from detection through resolution and post-incident review. This skill implements battle-tested practices from SRE and DevOps teams at scale, providing structured tools for severity classification, timeline reconstruction, and thorough post-incident analysis.
Incident Classifier (incident_classifier.py)
Timeline Reconstructor (timeline_reconstructor.py)
PIR Generator (pir_generator.py)
Definition: Complete service failure affecting all users or critical business functions
Characteristics:
Response Requirements:
Communication Frequency: Every 15 minutes until resolution
Definition: Significant degradation affecting subset of users or non-critical functions
Characteristics:
Response Requirements:
Communication Frequency: Every 30 minutes during active response
Definition: Limited impact with workarounds available
Characteristics:
Response Requirements:
Communication Frequency: At key milestones only
Definition: Minimal impact, cosmetic issues, or planned maintenance
Characteristics:
Response Requirements:
Communication Frequency: Standard development cycle updates
Command and Control
Communication Hub
Process Management
Post-Incident Leadership
Emergency Decisions (SEV1/2):
Resource Allocation:
Technical Decisions:
Subject: [SEV{severity}] {Service Name} - {Brief Description}
Incident Details:
- Start Time: {timestamp}
- Severity: SEV{level}
- Impact: {user impact description}
- Current Status: {investigating/mitigating/resolved}
Technical Details:
- Affected Services: {service list}
- Symptoms: {what users are experiencing}
- Initial Assessment: {suspected root cause if known}
Response Team:
- Incident Commander: {name}
- Technical Lead: {name}
- SMEs Engaged: {list}
Next Update: {timestamp}
Status Page: {link}
War Room: {bridge/chat link}
---
{Incident Commander Name}
{Contact Information}
Subject: URGENT - Customer-Impacting Outage - {Service Name}
Executive Summary:
{2-3 sentence description of customer impact and business implications}
Key Metrics:
- Time to Detection: {X minutes}
- Time to Engagement: {X minutes}
- Estimated Customer Impact: {number/percentage}
- Current Status: {status}
- ETA to Resolution: {time or "investigating"}
Leadership Actions Required:
- [ ] Customer communication approval
- [ ] PR/Communications coordination
- [ ] Resource allocation decisions
- [ ] External vendor engagement
Incident Commander: {name} ({contact})
Next Update: {time}
---
This is an automated alert from our incident response system.
We are currently experiencing {brief description of issue} affecting {scope of impact}.
Our engineering team was alerted at {time} and is actively working to resolve the issue. We will provide updates every {frequency} until resolved.
What we know:
- {factual statement of impact}
- {factual statement of scope}
- {brief status of response}
What we're doing:
- {primary response action}
- {secondary response action}
Workaround (if available):
{workaround steps or "No workaround currently available"}
We apologize for the inconvenience and will share more information as it becomes available.
Next update: {time}
Status page: {link}
Internal Stakeholders:
External Stakeholders:
| Stakeholder | SEV1 | SEV2 | SEV3 | SEV4 | |-------------|------|------|------|------| | Engineering Leadership | Real-time | 30min | 4hrs | Daily | | Executive Team | 15min | 1hr | EOD | Weekly | | Customer Support | Real-time | 30min | 2hrs | As needed | | Customers | 15min | 1hr | Optional | None | | Partners | 30min | 2hrs | Optional | None |
Detection Playbooks
Response Playbooks
Recovery Playbooks
# {Service/Component} Incident Response Runbook
## Quick Reference
- **Severity Indicators:** {list of conditions for each severity level}
- **Key Contacts:** {on-call rotations and escalation paths}
- **Critical Commands:** {list of emergency commands with descriptions}
## Detection
### Monitoring Alerts
- {Alert name}: {description and thresholds}
- {Alert name}: {description and thresholds}
### Manual Detection Signs
- {Symptom}: {what to look for and where}
- {Symptom}: {what to look for and where}
## Initial Response (0-15 minutes)
1. **Assess Severity**
- [ ] Check {primary metric}
- [ ] Verify {secondary indicator}
- [ ] Classify as SEV{level} based on {criteria}
2. **Establish Command**
- [ ] Page Incident Commander if SEV1/2
- [ ] Create incident tracking ticket
- [ ] Join war room: {link/bridge info}
3. **Initial Investigation**
- [ ] Check recent deployments: {deployment log location}
- [ ] Review error logs: {log location and queries}
- [ ] Verify dependencies: {dependency check commands}
## Mitigation Strategies
### Strategy 1: {Name}
**Use when:** {conditions}
**Steps:**
1. {detailed step with commands}
2. {detailed step with expected outcomes}
3. {validation step}
**Rollback Plan:**
1. {rollback step}
2. {verification step}
### Strategy 2: {Name}
{similar structure}
## Recovery and Validation
1. **Service Restoration**
- [ ] {restoration step}
- [ ] Wait for {metric} to return to normal
- [ ] Validate end-to-end functionality
2. **Communication**
- [ ] Update status page
- [ ] Notify stakeholders
- [ ] Schedule PIR
## Common Pitfalls
- **{Pitfall}:** {description and how to avoid}
- **{Pitfall}:** {description and how to avoid}
## Reference Information
- **Architecture Diagram:** {link}
- **Monitoring Dashboard:** {link}
- **Related Runbooks:** {links to dependent service runbooks}
Timeline:
Roles:
The Five Whys technique involves asking "why" repeatedly to drill down to root causes:
Example Application:
Best Practices:
Systematic analysis across multiple categories of potential causes:
Categories:
Application Method:
Reconstruct the incident chronologically to identify decision points and missed opportunities:
Timeline Elements:
Analysis Questions:
Level 1: On-call engineer
Level 2: Senior engineer/Team lead
Level 3: Engineering Manager/Staff Engineer
Level 4: Director of Engineering/CTO
Customer Impact Assessment:
Escalation Matrix:
| Severity | Duration | Business Escalation | |----------|----------|-------------------| | SEV1 | Immediate | VP Engineering | | SEV1 | 30 minutes | CTO + Customer Success VP | | SEV1 | 1 hour | CEO + Full Executive Team | | SEV2 | 2 hours | VP Engineering | | SEV2 | 4 hours | CTO | | SEV3 | 1 business day | Engineering Manager |
{Timestamp} - {Status Category}
{Brief description of current state}
Impact: {who is affected and how}
Cause: {root cause if known, "under investigation" if not}
Resolution: {what's being done to fix it}
Next update: {specific time}
We apologize for any inconvenience this may cause.
Immediate Fixes
Process Improvements
Technical Debt
Organizational Changes
**Title:** {Concise description of the action}
**Priority:** {Critical/High/Medium/Low}
**Category:** {Fix/Process/Technical/Organizational}
**Owner:** {Assigned person}
**Due Date:** {Specific date}
**Success Criteria:** {How will we know this is complete}
**Dependencies:** {What needs to happen first}
**Related PIRs:** {Links to other incidents this addresses}
**Description:**
{Detailed description of what needs to be done and why}
**Implementation Plan:**
1. {Step 1}
2. {Step 2}
3. {Validation step}
**Progress Updates:**
- {Date}: {Progress update}
- {Date}: {Progress update}
# Classify the incident
echo '{"description": "Users reporting 500 errors, database connections timing out", "affected_users": "80%", "business_impact": "high"}' | python scripts/incident_classifier.py
# Reconstruct timeline from logs
python scripts/timeline_reconstructor.py --input assets/db_incident_events.json --output timeline.md
# Generate PIR after resolution
python scripts/pir_generator.py --incident assets/db_incident_data.json --timeline timeline.md --output pir.md
# Quick classification from stdin
echo "API rate limits causing customer API calls to fail" | python scripts/incident_classifier.py --format text
# Build timeline from multiple sources
python scripts/timeline_reconstructor.py --input assets/api_incident_logs.json --detect-phases --gap-analysis
# Generate comprehensive PIR
python scripts/pir_generator.py --incident assets/api_incident_summary.json --rca-method fishbone --action-items
Maintain Calm Leadership
Document Everything
Effective Communication
Technical Excellence
Blameless Culture
Action Item Discipline
Knowledge Sharing
Continuous Improvement
The Incident Commander skill provides a comprehensive framework for managing incidents from detection through post-incident review. By implementing structured processes, clear communication templates, and thorough analysis tools, teams can improve their incident response capabilities and build more resilient systems.
The key to successful incident management is preparation, practice, and continuous learning. Use this framework as a starting point, but adapt it to your organization's specific needs, culture, and technical environment.
Remember: The goal isn't to prevent all incidents (which is impossible), but to detect them quickly, respond effectively, communicate clearly, and learn continuously.
development
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testing
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