incidentfox/incidentfox

Azure cloud infrastructure inspection. Use when investigating Azure VMs, AKS clusters, Log Analytics (KQL), Monitor metrics/alerts, Cost Management, or NSG rules.

Blameless incident management and retrospectives. Use for listing incidents, analyzing MTTR, reviewing post-incident retrospectives with contributing factors, action items, and lessons learned.

Google BigQuery data warehouse queries and schema inspection. Use when running SQL queries, listing datasets/tables, or inspecting table schemas in BigQuery.

MySQL/MariaDB database inspection and queries. Use when investigating table schemas, running queries, checking processlist, replication status, InnoDB engine status, or lock contention.

PostgreSQL database inspection and queries. Use when investigating table schemas, running queries, checking locks, replication status, or long-running queries.

Snowflake data warehouse queries and schema inspection. Use when running SQL queries against Snowflake, listing tables, or inspecting schemas.

Docker container debugging and management. Use when investigating container issues, checking logs, resource usage, or Docker Compose services.

FireHydrant incident management with service catalog. Use for listing incidents, tracking milestones, analyzing MTTR, and service impact analysis across environments.

Google Cloud Platform infrastructure inspection. Use when investigating GCP Compute instances, GKE clusters, Cloud Functions, Cloud SQL, or project metadata.

Google Docs and Drive integration. Use for reading documents, searching Drive, creating docs, writing content with markdown formatting, and sharing documents.

Grafana dashboard and metrics analysis. Use when querying dashboards, panels, Prometheus metrics via Grafana, checking datasources, or reviewing alerts.

Incident.io incident management and analytics. Use for listing, searching, and analyzing incidents. Supports MTTR calculations, severity analysis, and alert fatigue detection via alert route analytics.

Jira issue tracking and incident management. Use when creating, searching, or updating Jira issues. Supports JQL queries for incident ticket analysis and alert fatigue tracking.

Kafka topic and consumer group management. Use when investigating Kafka topics, consumer lag, broker health, or consumer group status.

Search the RAPTOR knowledge base for runbooks, past incidents, service dependencies, and accumulated team knowledge. Use BEFORE Confluence when investigating incidents — this contains curated, structured knowledge that the system has learned from past investigations.

Linear issue tracking and project management. Use for creating issues, searching issues, and managing projects. Supports GraphQL queries with team and state filtering.

New Relic APM and monitoring. Use when running NRQL queries, checking application performance, error rates, or throughput via New Relic.

Notion page and database management. Use for searching, creating, and writing to Notion pages. Supports creating pages in databases or under parent pages.

Opsgenie alert management and on-call scheduling. Use for listing alerts, checking on-call, computing MTTA/MTTR, and alert fatigue analysis. Supports team and priority filtering.

Feature flag management via flagd (OpenFeature). Use to list, inspect, and toggle feature flags in the OTel Demo environment. Flags control incident injection scenarios (payment failures, CPU spikes, memory leaks, etc.) and can be toggled for remediation.

Sentry error tracking and performance monitoring. Use when investigating application errors, checking error frequency, managing issue status, or reviewing releases.

Sourcegraph code search across repositories. Use for searching code patterns, finding implementations, and exploring codebases. Supports repo and file filters.