Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
日本語の概要は準備中です。原文の説明を表示しています。
Comprehensive incident response framework from detection through resolution and post-incident review. Battle-tested SRE/DevOps practices: severity classification, timeline reconstruction, structured post-incident analysis. Use when declaring an incident, coordinating multi-team response during an outage, leading a post-mortem, or setting up on-call practices for a new service.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Attribution: Sourced from alirezarezvani/claude-skills by Alireza Rezvani, licensed MIT. Modified for this collection.
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
→ See references/reference-information.md for details
## Usage Examples
### Example 1: Database Connection Pool Exhaustion
Run these commands from the installed `incident-commander` package directory. The timeline is emitted as JSON so the PIR generator can consume it.
```bash
# Classify the bundled incident
python3 scripts/incident_classifier.py --input assets/sample_incident_classification.json --format text
# Reconstruct the bundled timeline as machine-readable JSON
python3 scripts/timeline_reconstructor.py --input assets/sample_timeline_events.json --format json --output timeline.json
# Generate a Markdown PIR from bundled incident and timeline data
python3 scripts/pir_generator.py --incident assets/sample_incident_pir_data.json --timeline timeline.json --format markdown --output pir.md
# Quick classification from a bundled minimal fixture
python3 scripts/incident_classifier.py --input assets/simple_incident.json --format text
# Exercise phase detection and gap analysis with the bundled minimal timeline
python3 scripts/timeline_reconstructor.py --input assets/simple_timeline_events.json --detect-phases --gap-analysis --format text
Completion requires all five commands to exit 0, timeline.json to parse as JSON, and pir.md to contain a # Post-Incident Review heading. Remove the two generated output files after reviewing them.
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.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
日本語の概要は準備中です。原文の説明を表示しています。
Adds educational comments to a code file so it becomes a learning resource, asking for the file (with a list of close matches) if none is given. Use when preparing code for learners, onboarding, or teaching.
日本語の概要は準備中です。原文の説明を表示しています。
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
日本語の概要は準備中です。原文の説明を表示しています。
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
日本語の概要は準備中です。原文の説明を表示しています。
Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP compliant?", "check ASI compliance", or "agentic security audit"
日本語の概要は準備中です。原文の説明を表示しています。