Skill-Verzeichnis

Wiederverwendbare Skills für AI Agents entdecken.

Durchsuche reale GitHub-Skills nach Aufgabe und prüfe Stars, Trust, Audit, Kategorie und Installationspfad vor der Verwendung.

Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.

Suchergebnisse: vms

Englisches Verzeichnis

Kata Containers is an open source project and community working to build a standard implementation of lightweight Virtual Machines (VMs) that feel and perform like containers, but provide the workload isolation and security advantages of VMs. https://katacontainers.io/

8.2K
Stars
85/100
Trust
Kategorie: devopsAudit

🐻 The multi-zone service mesh for containers, Kubernetes and VMs. Built with Envoy. CNCF Sandbox Project.

4.0K
Stars
85/100
Trust
Kategorie: devopsAudit

An open-source, next-generation "runc" that empowers rootless containers to run workloads such as Systemd, Docker, Kubernetes, just like VMs.

3.7K
Stars
78/100
Trust
Kategorie: devopsAudit

Secure Node.js Execution Without a Sandbox A lightweight library for secure Node.js execution. No containers, no VMs — just npm-compatible sandboxing out of the box.

915
Stars
67/100
Trust
Kategorie: agent-frameworksAudit

Generates a bastion host VM compatible with OS Login and IAP Tunneling that can be used to access internal VMs

149
Stars
70/100
Trust
Kategorie: coding-agentsAudit

Automatic snapshot tool for Proxmox VE VMs and containers with retention policies

552
Stars
68/100
Trust
Kategorie: automationAudit

Run multiple agents in parallel sandboxed VMs, with a single command, on your PC or in the cloud

109
Stars
67/100
Trust
Kategorie: coding-agentsAudit

Start teaching cloud, VPC multi-tenant isolation, support for VMS and containers, unified management using Kubernetes

284
Stars
65/100
Trust
Kategorie: devopsAudit

Analyzes cloud infrastructure and architectures to identify wasted spend and right-sizing opportunities.

21
Stars
58/100
Trust
Kategorie: securityAudit

Run the full end-to-end observability setup for a service after its telemetry is already flowing into SigNoz — sequence SLI/SLO capture, data exploration (RED/USE), focused dashboards, saved Explorer views, burn-rate and absent-data alerts, and a tuning loop into one opinionated, SLO-aware workflow. Make sure to use this skill whenever the user says "set up observability after ingestion", "now that data is flowing, give me dashboards and alerts", "onboard this service to SigNoz end-to-end", "I want the full monitoring setup for X", or asks to go from raw telemetry to a complete dashboard + alerts + views package — even if they don't say "observability" explicitly. This is the orchestration layer: for a single artifact (just a dashboard, just one alert, just a saved view, or one static threshold alert, or a one-off query) use signoz-creating-dashboards, signoz-creating-alerts, signoz-managing-views, or signoz-generating-queries directly.

15
Stars
58/100
Trust
Kategorie: data-analysisAudit