on-call-handoff-patterns
Lets your agent understand and use patterns for handing off information during shift changes. This ensures work continues smoothly and issues are resolved.
What it does
Helps organize important information when an on-call engineer hands over responsibility to another. Ensures nothing critical is forgotten.
When to use it
- ✓When passing on-call duties to a colleague.
- ✓When writing a summary of what happened during a shift.
- ✓When documenting issues that are still under investigation.
Example of what to ask your AI
“I need to hand over the on-call shift. What are the crucial pieces of information for the next engineer?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The AI uses a template with predefined sections (like active incidents, recent changes, etc.) to ensure all relevant information is gathered and presented clearly.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill on-call-handoff-patternsOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/on-call-handoff-patterns/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
On-Call Handoff Patterns
Effective patterns for on-call shift transitions, ensuring continuity, context transfer, and reliable incident response across shifts.
Do not use this skill when
- The task is unrelated to on-call handoff patterns
- 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.
- Use the handoff templates below and retain only facts verified for the declared shift.
Use this skill when
- Transitioning on-call responsibilities
- Writing shift handoff summaries
- Documenting ongoing investigations
- Establishing on-call rotation procedures
- Improving handoff quality
- Onboarding new on-call engineers
Core Concepts
1. Handoff Components
| Component | Purpose |
|---|---|
| Active Incidents | What's currently broken |
| Ongoing Investigations | Issues being debugged |
| Recent Changes | Deployments, configs |
| Known Issues | Workarounds in place |
| Upcoming Events | Maintenance, releases |
2. Handoff Timing
Recommended: 30 min overlap between shifts
Outgoing:
├── 15 min: Write handoff document
└── 15 min: Sync call with incoming
Incoming:
├── 15 min: Review handoff document
├── 15 min: Sync call with outgoing
└── 5 min: Verify alerting setup
Templates
The names, dates, incidents and numbers below are synthetic examples. Replace them with verified shift evidence, preserve unknowns, and redact sensitive records. Draft the handoff by default; posting messages, changing paging routes, testing notifications or applying remediation requires authorization for the exact target. Do not run production commands merely to complete the template.
Template 1: Shift Handoff Document
# On-Call Handoff: Platform Team
**Outgoing**: @alice (2024-01-15 to 2024-01-22)
**Incoming**: @bob (2024-01-22 to 2024-01-29)
**Handoff Time**: 2024-01-22 09:00 UTC
---
## 🔴 Active Incidents
### None currently active
No active incidents at handoff time.
---
## 🟡 Ongoing Investigations
### 1. Intermittent API Timeouts (ENG-1234)
**Status**: Investigating
**Started**: 2024-01-20
**Impact**: ~0.1% of requests timing out
**Context**:
- Timeouts correlate with database backup window (02:00-03:00 UTC)
- Suspect backup process causing lock contention
- Added extra logging in PR #567 (deployed 01/21)
**Next Steps**:
- [ ] Review new logs after tonight's backup
- [ ] Consider moving backup window if confirmed
**Resources**:
- Dashboard: [API Latency](https://grafana/d/api-latency)
- Thread: #platform-eng (01/20, 14:32)
---
### 2. Memory Growth in Auth Service (ENG-1235)
**Status**: Monitoring
**Started**: 2024-01-18
**Impact**: None yet (proactive)
**Context**:
- Memory usage growing ~5% per day
- No memory leak found in profiling
- Suspect connection pool not releasing properly
**Next Steps**:
- [ ] Review heap dump from 01/21
- [ ] Consider restart if usage > 80%
**Resources**:
- Dashboard: [Auth Service Memory](https://grafana/d/auth-memory)
- Analysis doc: [Memory Investigation](https://docs/eng-1235)
---
## 🟢 Resolved This Shift
### Payment Service Outage (2024-01-19)
- **Duration**: 23 minutes
- **Root Cause**: Database connection exhaustion
- **Resolution**: Rolled back v2.3.4, increased pool size
- **Postmortem**: [POSTMORTEM-89](https://docs/postmortem-89)
- **Follow-up tickets**: ENG-1230, ENG-1231
---
## 📋 Recent Changes
### Deployments
| Service | Version | Time | Notes |
|---------|---------|------|-------|
| api-gateway | v3.2.1 | 01/21 14:00 | Bug fix for header parsing |
| user-service | v2.8.0 | 01/20 10:00 | New profile features |
| auth-service | v4.1.2 | 01/19 16:00 | Security patch |
### Configuration Changes
- 01/21: Increased API rate limit from 1000 to 1500 RPS
- 01/20: Updated database connection pool max from 50 to 75
### Infrastructure
- 01/20: Added 2 nodes to Kubernetes cluster
- 01/19: Upgraded Redis from 6.2 to 7.0
---
## ⚠️ Known Issues & Workarounds
### 1. Slow Dashboard Loading
**Issue**: Grafana dashboards slow on Monday mornings
**Workaround**: Wait 5 min after 08:00 UTC for cache warm-up
**Ticket**: OPS-456 (P3)
### 2. Flaky Integration Test
**Issue**: `test_payment_flow` fails intermittently in CI
…
FAQ
What are 'active incidents'?
These are problems that are happening RIGHT NOW and affecting users or the system.
What are 'ongoing investigations'?
These are issues that have been detected, but the cause hasn't been found yet, and a solution is being sought.
Why is an overlap time between shifts important?
It allows the outgoing engineer to personally explain situations to the incoming engineer, ensuring everything is understood correctly and preventing information loss.
Details
Original description by the author
Effective patterns for on-call shift transitions, ensuring continuity, context transfer, and reliable incident response across shifts.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3752
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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