erwinv2k-TKG
Community@erwinv2k-TKG
erwinv2k-TKG provides SRE incident investigation, multi-cloud infrastructure debugging, and observability analysis skills spanning AWS, Azure, GCP, Kubernetes, and 30+ monitoring platforms.
Agent Skills by erwinv2k-TKG
Showing 78 vetted skills indexed across 1 GitHub repositories.
erwinv2k-TKGaws-troubleshoot
Diagnose EC2, ECS, Lambda, and RDS issues using CloudWatch logs and metrics.
erwinv2k-TKGinvestigate
Diagnose production incidents using a five-phase evidence-based investigation methodology.
erwinv2k-TKGk8s-debug
Diagnose Kubernetes pod failures using events, logs, and resource metrics.
erwinv2k-TKGlog-analysis
Analyzes logs using a partition-first methodology across Datadog, CloudWatch, and Kubernetes.
erwinv2k-TKGsre-principles
Guides incident investigations with evidence-based reasoning and structured communication standards.
erwinv2k-TKGazure-infrastructure
Inspect Azure VMs, AKS clusters, Log Analytics, Monitor metrics, costs, and NSG rules.
erwinv2k-TKGdatabase-bigquery
Run SQL queries and inspect datasets, tables, and schemas in Google BigQuery.
erwinv2k-TKGalerting-context
Retrieve incident details, on-call context, and MTTR metrics from PagerDuty.
erwinv2k-TKGplatform-vercel
Query Vercel projects, deployments, and build logs to investigate deployment failures.
erwinv2k-TKGknowledge-raptor
Search and teach a RAPTOR knowledge base of runbooks, incidents, and service dependencies.
erwinv2k-TKGsourcegraph-integration
Search code across repositories using Sourcegraph GraphQL queries with repo and file filters.
erwinv2k-TKGgcp-infrastructure
Inspect GCP Compute instances, GKE clusters, Cloud Functions, and Cloud SQL via Python scripts.
erwinv2k-TKGjira-integration
Create, search, and update Jira issues using JQL queries and REST API scripts.
erwinv2k-TKGkubernetes-debug
Diagnose Kubernetes pod crashes, OOMKilled events, and deployment failures via gateway-routed scripts.
erwinv2k-TKGjaeger-analysis
Analyze Jaeger distributed traces to diagnose latency, errors, and service dependencies.
erwinv2k-TKGnewrelic-observability
Run NRQL queries and retrieve APM performance summaries from New Relic.
erwinv2k-TKGanalytics-amplitude
Query Amplitude event segmentation, user activity streams, and chart annotations via API scripts.
erwinv2k-TKGincident-comms
Reads Slack channels and posts incident status updates via bot-authenticated API scripts.
erwinv2k-TKGincidentio-integration
Query Incident.io incidents and compute MTTR and alert fatigue analytics.
erwinv2k-TKGdatabase-snowflake
Executes SQL queries and inspects schemas in Snowflake data warehouses.
erwinv2k-TKGblameless-integration
Query Blameless incidents, retrospectives, and MTTR statistics via Python API scripts.
erwinv2k-TKGgitlab-integration
Query GitLab projects, pipelines, merge requests, commits, and issues via REST API scripts.
erwinv2k-TKGdatabase-mysql
Inspect MySQL schemas, run read-only queries, and diagnose replication and lock issues.
erwinv2k-TKGopsgenie-integration
Query Opsgenie alerts, on-call schedules, and compute MTTA/MTTR metrics via Python scripts.
Frequently Asked Questions About erwinv2k-TKG
FAQPage SchemaWhat tasks can I accomplish with erwinv2k-TKG's skills?▼
You can investigate production incidents end-to-end: debug Kubernetes and Docker failures, inspect AWS/Azure/GCP infrastructure, query logs and metrics across Datadog, Splunk, Loki, and Elasticsearch, trace requests via Jaeger, inspect PostgreSQL/MySQL/Snowflake/BigQuery databases, manage Kafka consumer lag, and coordinate incident response through PagerDuty, Jira, Slack, and Confluence runbooks.
Who are these skills designed for?▼
Site reliability engineers, platform engineers, and on-call responders managing production systems. The sre-principles, investigate, and systematic-debugging skills enforce evidence-based incident methodology, while integration skills serve teams running Kubernetes on AWS, Azure, or GCP with standard observability and incident-management stacks.
How do the skills run in practice?▼
Most integration skills declare allowed-tools of Bash(python *), meaning they execute Python-based queries against platform APIs for services like Datadog, BigQuery, Jira, and Sourcegraph. Methodology skills like log-analysis and metrics-analysis guide partition-first investigation and PromQL/LogQL/SPL query construction during live debugging sessions.
What prerequisites or dependencies are required?▼
Skills require access to the target platforms they query—e.g., Kubernetes cluster access for k8s-debug and remediation, valid credentials for PagerDuty, Opsgenie, GitLab, or Vercel integrations. The runtime-config-flagd skill explicitly requires a Kubernetes integration, and remediation mandates dry-run execution before any restart, scale, or rollback action.
Do the skills cover safe remediation and engineering quality?▼
Yes. The remediation skill enforces dry-run-first execution for Kubernetes restarts, scaling, and rollbacks. Complementary skills cover test-driven development with 80%+ coverage, systematic debugging, security review checklists, code review protocols, git worktree isolation, and verification-before-completion requiring command output evidence before claiming success.