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Found 23 Skills
PagerDuty integration. Manage Users, Teams, Services, Events. Use when the user wants to interact with PagerDuty data.
Automate PagerDuty tasks via Rube MCP (Composio): manage incidents, services, schedules, escalation policies, and on-call rotations. Always search tools first for current schemas.
Conduct systematic root cause analysis to identify underlying problems. Use structured methodologies to prevent recurring issues and drive improvements.
Expert in SRE practices, incident management, root cause analysis, and automated remediation.
Better Stack integration. Manage Incidents, Users, Teams. Use when the user wants to interact with Better Stack data.
Expert-level site reliability engineering, SLOs, incident management, and operational excellence
Invoke the `incidentio` CLI to drive the incident.io API — incidents, actions, follow-ups, alerts/alert sources/routes, escalations & on-call schedules, catalog (types/entries/resources), custom fields, severities, incident types/roles/statuses/timestamps, status pages (including creating and managing public pages, components, layout, subscribers, templates), workflows, users, teams, API keys, heartbeats, maintenance windows, and settings. Uses the public Bearer API (OpenAPI-generated commands) plus internal dashboard (cookie) commands generated from captured HARs, hand-curated internal endpoints, and a `raw` escape hatch for any un-codified path. Use whenever a task needs incident.io data or actions, such as "list our incidents", "create an incident", "show the on-call schedule", "build or manage a status page", "list status page subscribers", "tune a dashboard setting", or "hit an internal dashboard endpoint".
Emergency release workflow for critical bug fixes and security patches. Use when production issues require fast-track deployment.
Fetch and analyze AppSignal error incidents. Use when debugging errors, investigating exceptions, or when the user mentions AppSignal, incidents, or error monitoring.
Guidelines and workflows for community moderation, trust & safety, and escalation.
Guides AI ops leadership—LLM SRE, model/prompt releases, eval/incidents, cost/capacity, vendors, and cross-functional cadence. Use for AI platform ops, LLM SLAs, incidents, rollout governance, unit economics, red-team/eval gates, and team rituals—not memory (ai-memory-developer), context code (ai-context-engineer), security programs (cybersecurity), token roadmaps (ai-token-improvement-plan-engineer), solution architecture (applied-ai-architect-commercial-enterprise), skills portfolio (ai-skill-manager), or vertical AI product eng management (engineering-manager-vertical-ai-products). Prompt/eval team management and golden-set release policy: engineering-manager-agent-prompts-evals. Safeguard inference platform: ml-infrastructure-engineer-safeguards. Safeguard model research: ml-research-engineer-safeguards.