incident-runbook-templates▌
sickn33/antigravity-awesome-skills · updated Apr 8, 2026
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Production-ready templates for incident response runbooks covering detection, triage, mitigation, resolution, and communication.
Incident Runbook Templates
Production-ready templates for incident response runbooks covering detection, triage, mitigation, resolution, and communication.
Do not use this skill when
- The task is unrelated to incident runbook templates
- 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.
Use this skill when
- Creating incident response procedures
- Building service-specific runbooks
- Establishing escalation paths
- Documenting recovery procedures
- Responding to active incidents
- Onboarding on-call engineers
Core Concepts
1. Incident Severity Levels
| Severity | Impact | Response Time | Example |
|---|---|---|---|
| SEV1 | Complete outage, data loss | 15 min | Production down |
| SEV2 | Major degradation | 30 min | Critical feature broken |
| SEV3 | Minor impact | 2 hours | Non-critical bug |
| SEV4 | Minimal impact | Next business day | Cosmetic issue |
2. Runbook Structure
1. Overview & Impact
2. Detection & Alerts
3. Initial Triage
4. Mitigation Steps
5. Root Cause Investigation
6. Resolution Procedures
7. Verification & Rollback
8. Communication Templates
9. Escalation Matrix
Runbook Templates
Template 1: Service Outage Runbook
# [Service Name] Outage Runbook
## Overview
**Service**: Payment Processing Service
**Owner**: Platform Team
**Slack**: #payments-incidents
**PagerDuty**: payments-oncall
## Impact Assessment
- [ ] Which customers are affected?
- [ ] What percentage of traffic is impacted?
- [ ] Are there financial implications?
- [ ] What's the blast radius?
## Detection
### Alerts
- `payment_error_rate > 5%` (PagerDuty)
- `payment_latency_p99 > 2s` (Slack)
- `payment_success_rate < 95%` (PagerDuty)
### Dashboards
- [Payment Service Dashboard](https://grafana/d/payments)
- [Error Tracking](https://sentry.io/payments)
- [Dependency Status](https://status.stripe.com)
## Initial Triage (First 5 Minutes)
### 1. Assess Scope
```bash
# Check service health
kubectl get pods -n payments -l app=payment-service
# Check recent deployments
kubectl rollout history deployment/payment-service -n payments
# Check error rates
curl -s "http://prometheus:9090/api/v1/query?query=sum(rate(http_requests_total{status=~'5..'}[5m]))"
2. Quick Health Checks
- Can you reach the service?
curl -I https://api.company.com/payments/health - Database connectivity? Check connection pool metrics
- External dependencies? Check Stripe, bank API status
- Recent changes? Check deploy history
3. Initial Classification
| Symptom | Likely Cause | Go To Section |
|---|---|---|
| All requests failing | Service down | Section 4.1 |
| High latency | Database/dependency | Section 4.2 |
| Partial failures | Code bug | Section 4.3 |
| Spike in errors | Traffic surge | Section 4.4 |
Mitigation Procedures
4.1 Service Completely Down
# Step 1: Check pod status
kubectl get pods -n payments
# Step 2: If pods are crash-looping, check logs
kubectl logs -n payments -l app=payment-service --tail=100
# Step 3: Check recent deployments
kubectl rollout history deployment/payment-service -n payments
# Step 4: ROLLBACK if recent deploy is suspect
kubectl rollout undo deployment/payment-service -n payments
# Step 5: Scale up if resource constrained
kubectl scale deployment/payment-service -n payments --replicas=10
# Step 6: Verify recovery
kubectl rollout status deployment/payment-service -n payments
4.2 High Latency
# Step 1: Check database connections
kubectl exec -n payments deploy/payment-service -- \
curl localhost:8080/metrics | grep db_pool
# Step 2: Check slow queries (if DB issue)
psql -h $DB_HOST -U $DB_USER -c "
SELECT pid, now() - query_start AS duration, query
FROM pg_stat_activity
WHERE state = 'active' AND duration > interval '5 seconds'
ORDER BY duration DESC;"
# Step 3: Kill long-running queries if needed
psql -h $DB_HOST -U $DB_USER -c "SELECT pg_terminate_backend(pid);"
# Step 4: Check external dependency latency
curl -w "@curl-format.txt" -o /dev/null -s https://api.stripe.com/v1/health
# Step 5: Enable circuit breaker if dependency is slow
kubectl set env deployment/payment-service \
STRIPE_CIRCUIT_BREAKER_ENABLED=true -n payments
4.3 Partial Failures (Specific Errors)
# Step 1: Identify error pattern
kubectl logs -n payments -l app=payment-service --tail=500 | \
grep -i error | sort | uniq -c | sort -rn | head -20
# Step 2: Check error tracking
# Go to Sentry: https://sentry.io/payments
# Step 3: If specific endpoint, enable feature flag to disable
curl -X POST https://api.company.com/internal/feature-flags \
-d '{"flag": "DISABLE_PROBLEMATIC_FEATURE", "enabled": true}'
# Step 4: If data issue, check recent data changes
psql -h $DB_HOST -c "
SELECT * FROM audit_log
WHERE table_name = 'payment_methods'
AND created_at > now() - interval '1 hour';"
4.4 Traffic Surge
# Step 1: Check current request rate
kubectl top pods -n payments
# Step 2: Scale horizontally
kubectl scale deployment/payment-service -n payments --replicas=20
# Step 3: Enable rate limiting
kubectl set env deployment/payment-service \
RATE_LIMIT_ENABLED=true \
RATE_LIMIT_RPS=1000 -n payments
# Step 4: If attack, block suspicious IPs
kubectl apply -f - <<EOF
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: block-suspicious
namespace: payments
spec:
podSelector:
matchLabels:
app: payment-service
ingress:
- from:
- ipBlock:
cidr: 0.0.0.0/0
except:
- 192.168.1.0/24 # Suspicious range
EOF
Verification Steps
# Verify service is healthy
curl -s https://api.company.com/payments/health | jq
# Verify error rate is back to normal
curl -s "http://prometheus:9090/api/v1/query?query=sum(rate(http_requests_total{status=~'5..'}[5m]))" | jq '.data.result[0].value[1]'
# Verify latency is acceptable
curl -s "http://prometheus:9090/api/v1/query?query=histogram_quantile(0.99,sum(rate(http_request_duration_seconds_bucket[5m]))by(le))" | jq
# Smoke test critical flows
./scripts/smoke-test-payments.sh
Rollback Procedures
# Rollback Kubernetes deployment
kubectl rollout undo deployment/payment-service -n payments
# Rollback database migration (if applicable)
./scripts/db-rollback.sh $MIGRATION_VERSION
# Rollback feature flag
curl -X POST https://api.company.com/internal/feature-flags \
-d '{"flag": "NEW_PAYMENT_FLOW", "enabled": false}'
Escalation Matrix
| Condition | Escalate To | Contact |
|---|---|---|
| > 15 min unresolved SEV1 | Engineering Manager | @manager (Slack) |
| Data breach suspected | Security Team | #security-incidents |
| Financial impact > $10k | Finance + Legal | @finance-oncall |
| Customer communication needed | Support Lead | @support-lead |
Communication Templates
Initial Notification (Internal)
🚨 INCIDENT: Payment Service Degradation
Severity: SEV2
Status: Investigating
Impact: ~20% of payment requests failing
Start Time: [TIME]
Incident Commander: [NAME]
Current Actions:
- Investigating root cause
- Scaling up service
- Monitoring dashboards
Updates in #payments-incidents
Status Update
📊 UPDATE: Payment Service Incident
Status: Mitigating
Impact: Reduced to ~5% failure rate
Duration: 25 minutes
Actions Taken:
- Rolled back deployment v2.3.4 → v2.3.3
- Scaled service from 5 → 10 replicas
Next Steps:
- Continuing to monitor
- Root cause analysis in progress
ETA to Resolution: ~15 minutes
Resolution Notification
how to use incident-runbook-templatesHow to use incident-runbook-templates on Cursor
AI-first code editor with Composer
1Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add incident-runbook-templates
2Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill incident-runbook-templatesThe skills CLI fetches incident-runbook-templates from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.
3Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
◆ Which agents do you want to install to?││ ── Universal (.agents/skills) ── always included ────│ • Amp│ • Antigravity│ • Cline│ • Codex│ ●Cursor(selected)│ • Cursor│ • Windsurf4Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/incident-runbook-templatesReload or restart Cursor to activate incident-runbook-templates. Access the skill through slash commands (e.g., /incident-runbook-templates) or your agent's skill management interface.
⚠Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
Additional Resources
List & Monetize Your Skill
Submit your Claude Code skill and start earning
GET_STARTED →Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
✓Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
✓Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
✓Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
✓Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
general reviewsRatings
4.4★★★★★71 reviews- ★★★★★Maya Jain· Dec 28, 2024
incident-runbook-templates has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Shikha Mishra· Dec 24, 2024
incident-runbook-templates reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Mia Sharma· Dec 24, 2024
incident-runbook-templates reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Maya Malhotra· Dec 16, 2024
Registry listing for incident-runbook-templates matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Omar Martinez· Dec 16, 2024
Solid pick for teams standardizing on skills: incident-runbook-templates is focused, and the summary matches what you get after install.
- ★★★★★Kwame Garcia· Dec 12, 2024
Solid pick for teams standardizing on skills: incident-runbook-templates is focused, and the summary matches what you get after install.
- ★★★★★Omar Nasser· Dec 12, 2024
I recommend incident-runbook-templates for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Ganesh Mohane· Dec 4, 2024
Solid pick for teams standardizing on skills: incident-runbook-templates is focused, and the summary matches what you get after install.
- ★★★★★Omar Martin· Dec 4, 2024
incident-runbook-templates reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Meera Sethi· Nov 23, 2024
I recommend incident-runbook-templates for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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