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PagerDuty Automation

Automate PagerDuty: incidents, services, schedules, escalation policies, and on-call.

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What PagerDuty Automation Does

PagerDuty Automation enables Claude AI agents to programmatically manage incident response, on-call schedules, escalation policies, and service configurations directly from within your workflows. This skill eliminates manual incident management tasks, accelerates response times, and ensures consistent handling of critical incidents across your organization. It’s designed for DevOps teams, incident commanders, and platform engineers who need to integrate sophisticated alerting and incident management into their AI-driven automation pipelines.

How to Install

  1. Ensure you have Claude API access configured with your API key
  2. Clone or download the PagerDuty Automation skill from the ComposioHQ GitHub repository
  3. Install required dependencies: pip install composio-core requests
  4. Generate a PagerDuty API token from your PagerDuty account (Settings → API Access → Create Token)
  5. Add your PagerDuty API token to your environment variables: export PAGERDUTY_API_TOKEN="your_token_here"
  6. Import the skill in your Claude agent code: from composio import PagerDutyAutomation
  7. Initialize the automation module with your credentials
  8. Test connectivity by querying your on-call schedule or services list

Use Cases

  • Automated Incident Creation and Escalation: Trigger incidents from monitoring systems with automatic severity assessment and escalation to on-call engineers based on service criticality
  • On-Call Schedule Management: Automatically update on-call rotations, handle schedule overrides, and send notifications when schedules change
  • Incident Resolution Workflows: Auto-resolve low-severity incidents, update status pages, and trigger post-mortem creation when incidents reach resolution
  • Alert Deduplication: Prevent duplicate incidents by checking existing incidents before creation and automatically grouping related alerts
  • Escalation Policy Optimization: Dynamically adjust escalation policies based on team availability, time zones, or recent incident patterns

How It Works

PagerDuty Automation acts as a bridge between Claude’s natural language processing capabilities and PagerDuty’s REST API. When you invoke the skill, Claude translates your intentions into structured API calls that interact with PagerDuty’s incident management system. The skill handles authentication, request formatting, pagination for large datasets, and error handling transparently.

Under the hood, the automation works by maintaining persistent API connections to PagerDuty and executing commands asynchronously. It can fetch real-time data about incidents, services, and schedules, then make intelligent decisions about incident routing, escalation timing, and schedule modifications. The skill includes built-in rate limiting to respect PagerDuty’s API quotas and implements retry logic for failed requests.

When integrated into an AI agent workflow, Claude can reason about incident context—analyzing alert severity, affected services, team capacity, and historical patterns—to make sophisticated decisions like reassigning incidents, adjusting escalation paths, or creating multi-service incident declarations automatically. This enables a feedback loop where human-in-the-loop approval gates can be added for critical decisions while routine tasks execute autonomously.

Pros and Cons

Pros:

  • Eliminates manual incident creation and reduces mean time to response (MTTR)
  • Seamlessly integrates with existing PagerDuty configurations without code changes
  • Supports complex multi-step workflows including conditional escalation based on incident context
  • Provides real-time access to on-call schedules and incident data for informed decision-making
  • Handles authentication and API rate limiting automatically, reducing operational overhead
  • Enables sophisticated incident routing based on service criticality and team capacity

Cons:

  • Requires PagerDuty subscription and API token management with appropriate security practices
  • API latency may impact real-time responsiveness for time-critical incident workflows
  • Complex escalation policies require careful validation to avoid unintended alert storms
  • Audit trails may require additional logging implementation for compliance tracking
  • Dependent on PagerDuty API stability; outages affect automation capabilities
  • Initial setup requires understanding PagerDuty’s service and escalation policy architecture
  • Slack Automation: Send incident notifications directly to Slack channels and create threaded discussions for incident response
  • Opsgenie Automation: Complement PagerDuty with alert aggregation and mobile push notifications for critical incidents
  • DataDog Integration: Automatically trigger PagerDuty incidents from DataDog monitors and dashboards
  • GitHub Automation: Create issues and PRs from PagerDuty incidents for post-incident follow-ups and remediation tracking
  • Jira Automation: Link PagerDuty incidents to Jira tickets for change tracking and incident documentation

Alternatives

  • Opsgenie (Atlassian): Native incident management with strong mobile support and alert deduplication, but less flexible escalation policy customization than PagerDuty
  • Incident.io: Modern incident management platform with native Slack integration and built-in post-mortem workflows, though smaller feature set than PagerDuty
  • Custom Webhook Solutions: Write your own incident management API integration using generic HTTP tools, offering maximum flexibility but requiring significant development effort
Glossary

Key terms

Escalation Policy
A set of rules defining how and when incidents are escalated to additional team members if not acknowledged or resolved within specified timeframes.
On-Call Schedule
A rotation system that defines which team member is responsible for responding to incidents during specific time periods (shifts, weeks, or custom intervals).
Incident Urgency
A classification level (high/low) determining how aggressively an incident is escalated and how quickly it should be responded to.
Service
A representation of an application, microservice, or system in PagerDuty that can be monitored, have incidents created for it, and have escalation policies attached.
API Token
A secure credential used to authenticate requests to PagerDuty's API, granting specific permissions based on the token's scoped access level.
FAQ

Frequently Asked Questions

How do I authenticate PagerDuty Automation with my account?

Generate a REST API token from your PagerDuty account (Settings → API Access → Create Token with appropriate scopes), then store it as the PAGERDUTY_API_TOKEN environment variable. The skill automatically uses this token to authenticate all API requests.

Can I create incidents programmatically with custom fields?

Yes. The skill supports creating incidents with full customization including title, description, service assignment, urgency level, assigned users, and custom details. You can pass these as parameters through Claude's natural language interface.

What permissions do I need in PagerDuty to use this skill?

Your API token needs Admin privileges or a custom role with permissions to: create/update/resolve incidents, modify on-call schedules, manage escalation policies, and read service configurations. Account Admin access is recommended for unrestricted automation.

How can I prevent accidental incident creation or schedule changes?

Implement approval gates in your Claude workflow by using tool use patterns that pause execution and require human confirmation before destructive operations. You can also set the API token to read-only mode for testing and validation phases.

Does the skill support on-call schedule rotations and overrides?

Yes, fully. You can query current on-call users, add schedule overrides with specific time ranges, update rotation settings, and retrieve full schedule history. The skill handles timezone-aware scheduling automatically.

Can I query incident history and analytics through this skill?

The skill provides access to incident data including creation time, resolution time, assigned teams, escalation history, and status. You can filter incidents by service, date range, or status to build reports or trigger workflows based on patterns.

What happens if the PagerDuty API is unavailable?

The skill includes built-in retry logic with exponential backoff for transient failures. For persistent outages, errors are returned to Claude's context, allowing your agent to handle them gracefully—such as logging failures, alerting administrators, or queueing operations for later retry.

How do I handle rate limiting with PagerDuty's API?

The skill automatically implements rate limiting and respects PagerDuty's request quotas. If limits are exceeded, the skill backs off temporarily and retries. For high-volume automation, design workflows to batch operations and minimize individual API calls.

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