☁️ Infrastructure Knowledge Brain — Self-wiring knowledge graph for infra topology, incident history and runbooks. Derived from gbrain (garrytan/gbrain). CI/CD pipelines, container orchestration, IaC, monitoring.
Use when user asks to leverage claude or claude code to do something (e.g. implement a feature design or review codes, etc). Provides non-interactive automation mode for hands-off task execution without approval prompts.
Use for Ariadne MCP-backed Kubernetes state questions: translate operational questions into Cypher, repair graphquery failures, and decide when graphschema or graphhealth is needed. Best for live or snapshot-backed graph data about resource relationships; do not use for codebase-only tasks or generic Kubernetes…
Buy from any x402-gated endpoint. Start with go — it probes, detects the offer type, and runs the right flow. Expert flows underneath: pay for one-shot HTTP services (single authorization, no sidecar), pay-agent for one-shot streaming agent calls, and buy for long-running paid inference (pre-authorized batch via…
Creates a scoped Qovery API Policy Token from a user's intent — authors a least-privilege Open Policy Agent (Rego) policy, tests it locally with OPA and live against the API, creates the token, and verifies it allows exactly what the user wants and denies everything else. Use when the user wants a restricted…
Full operational Kubernetes surface via the container-manager-mcp MCP server — workloads (pods/rollouts/StatefulSets/DaemonSets/ReplicaSets/Jobs/CronJobs), config (ConfigMaps/Secrets/Namespaces/CRDs/patch), networking (Ingress/native Services/NetworkPolicy/DNS), storage (PV/PVC/StorageClass/snapshots/CSI), RBAC…
Use this harness to validate Agentweaver's MCP protocol surface, capture the complete tools/call request/response evidence, and emit a normalized agentweaver.persona-judge-verdict/v1 JSON verdict. It is for MCP end-to-end validation, MCP tool-contract regression checks, and investigation of an MCP-reported issue; use…
Use this skill whenever a user wants to onboard, deploy, install, or operate kubernetes-ontology; set up its Helm chart, release CLI, daemon, or topology viewer; run Kubernetes topology queries; diagnose Pod or Workload failures with AI-agent workflows; or connect human visual troubleshooting to the CLI and HTTP API.…
Opinionated multi-step Kubernetes workflows on top of the k8s-mcp server. Encodes tool-sequencing logic and failure-mode decision trees for deploying from a repo, debugging pods/rollouts, performing safe restarts, and auditing cluster posture. Use when the user asks to deploy, diagnose, restart, roll out, or audit…
Diagnose and validate cron expressions before they ship. Catches the five silent death-traps: impossible dates that never fire, OR-semantics that fire too often, midnight spikes, uneven step drift, and leap-year February 29.
Index of the AgentOps patterns for operating LLM agents in production — telemetry, guardrails, resilience, evaluation, token budgets, least privilege, and incident response — with a pointer to the full open-source course. Use when you want an overview of how the AgentOps skills fit together, or where to start…
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: