Monitor CI
nrwl/nx
Monitor Nx Cloud CI pipeline and handle self-healing fixes. An agent skill from nrwl/nx.
Guides VM lifecycle operations with kcli. An agent skill from karmab/kcli.
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add karmab/kcli --skill kcli-vm-operations -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install karmab/kcli kcli-vm-operations --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/karmab/kcli.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/kcli-vm-operations .claude/skills/kcli-vm-operations && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "kcli-vm-operations" agent skill from https://github.com/karmab/kcli/tree/main/skills/kcli-vm-operations into .claude/skills/kcli-vm-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kcli-vm-operations", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/karmab/kcli/tree/main/skills/kcli-vm-operationsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add karmab/kcli --skill kcli-vm-operations -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install karmab/kcli kcli-vm-operations --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/karmab/kcli.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/kcli-vm-operations .agents/skills/kcli-vm-operations && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "kcli-vm-operations" agent skill from https://github.com/karmab/kcli/tree/main/skills/kcli-vm-operations into .agents/skills/kcli-vm-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kcli-vm-operations", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add karmab/kcli --skill kcli-vm-operations -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install karmab/kcli kcli-vm-operations --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/karmab/kcli.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/kcli-vm-operations .cursor/skills/kcli-vm-operations && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "kcli-vm-operations" agent skill from https://github.com/karmab/kcli/tree/main/skills/kcli-vm-operations into .cursor/skills/kcli-vm-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kcli-vm-operations", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/karmab/kcli.git --path skills/kcli-vm-operations--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add karmab/kcli --skill kcli-vm-operations -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install karmab/kcli kcli-vm-operations --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/karmab/kcli.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/kcli-vm-operations .gemini/skills/kcli-vm-operations && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "kcli-vm-operations" agent skill from https://github.com/karmab/kcli/tree/main/skills/kcli-vm-operations into .gemini/skills/kcli-vm-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kcli-vm-operations", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install karmab/kcli kcli-vm-operationsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add karmab/kcli --skill kcli-vm-operations -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/karmab/kcli.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/kcli-vm-operations .github/skills/kcli-vm-operations && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "kcli-vm-operations" agent skill from https://github.com/karmab/kcli/tree/main/skills/kcli-vm-operations into .github/skills/kcli-vm-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kcli-vm-operations", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add karmab/kcli --skill kcli-vm-operations -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install karmab/kcli kcli-vm-operations --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/karmab/kcli.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/kcli-vm-operations .opencode/skills/kcli-vm-operations && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "kcli-vm-operations" agent skill from https://github.com/karmab/kcli/tree/main/skills/kcli-vm-operations into .opencode/skills/kcli-vm-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kcli-vm-operations", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
kcli-vm-operationsGuides VM lifecycle operations with kcli. An agent skill from karmab/kcli.
Kcli Vm Operations is an agent skill from karmab/kcli. Guides VM lifecycle operations with kcli. Use when creating, managing, or troubleshooting virtual machines across providers.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud. The repository describes itself as: Management tool for virtualization and kubernetes platforms. The licence is Apache-2.0.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 30a28e3. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
sshFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use ssh, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Kcli Vm Operations loads about 1.5k tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 104 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found patterns that need a careful read before installing.
sudo virsh list --all # Check libvirt statesudo virsh start myvm # Try direct startssh -i ~/.kcli/id_rsa user@<ip>Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from karmab/kcli at commit 30a28e3, republished under its Apache-2.0 licence (© karmab). 104 words, ~1,475 tokens.
.claude/skills/kcli-vm-operations/SKILL.md (or your agent's skills folder).Important: Before creating a VM, always run
kcli create vm -hto check the latest available flags and examples.
# From image
kcli create vm -i fedora40 myvm
# With parameters
kcli create vm -i centos9stream -P memory=4096 -P numcpus=4 -P disks=[20,50] myvm
# From profile
kcli create vm -p myprofile myvm
# Create multiple VMs at once with -c (count)
kcli create vm -c 3 myvm
# Create 3 VMs to emulate baremetal
kcli create vm -P start=false -P memory=20480 -P numcpus=16 -P disks=[200] -P uefi=true -P nets=[default] -c 3 myvm
# Create a VM with a static IP
kcli create vm -i centos9stream -P nets=['{"name":"default","ip":"192.168.122.250","netmask":"24","gateway":"192.168.122.1"}'] myvm
# Create a VM with a DNS reservation
kcli create vm -i centos9stream -P nets=['{"name":"default","reservedns":"true"}'] myvm
# Create a VM with a DHCP reservation
kcli create vm -i centos9stream -P nets=['{"name":"default","ip":"192.168.122.250","reserveip":"true"}'] myvmkcli list vm # All VMs
kcli list vm -o yaml # YAML output
kcli list vm -o json # JSON outputkcli info vm myvm # Full info
kcli info vm myvm -f ip # Specific field
kcli info vm myvm -o yaml # YAML formatkcli start vm myvm
kcli stop vm myvm
kcli restart vm myvmkcli delete vm myvm # With confirmation
kcli delete vm myvm --yes # Skip confirmation
kcli delete vm myvm --snapshots # Delete snapshots tookcli ssh myvm # SSH as default user
kcli ssh -u root myvm # SSH as specific user
kcli ssh -l myvm # List SSH command onlykcli console myvm # Graphical console (VNC/SPICE)
kcli console myvm --serial # Serial console# Add disk
kcli create disk -s 20 -p default myvm # 20GB disk
kcli create disk -s 50 --thin myvm # Thin provisioned
# Delete disk
kcli delete disk myvm-disk1 myvm
# List disks
kcli list disk# Add NIC
kcli create nic -n mynetwork myvm
# Delete NIC
kcli delete nic eth1 myvm
# Update NIC
kcli update nic -n newnetwork myvm --index 0# Create snapshot
kcli create snapshot myvm mysnapshot
# List snapshots
kcli list snapshot myvm
# Revert to snapshot
kcli revert snapshot myvm mysnapshot
# Delete snapshot
kcli delete snapshot myvm mysnapshotParameters are resolved in order (later overrides earlier):
kvirt/defaults.py - Built-in defaults~/.kcli/config.yml default section~/.kcli/profiles.yml)-P overrides# Compute
numcpus: 2 # CPU count
memory: 512 # Memory in MB
cpumodel: host-model # CPU model
# Storage
pool: default # Storage pool
disks: # Disk configuration
- size: 20 # Size in GB
- size: 50
pool: otherpool
thin: true
# Network
nets: # Network configuration
- default # Simple: network name only
- name: mynet # Advanced: with options
ip: 192.168.1.10
netmask: 255.255.255.0
gateway: 192.168.1.1
mac: aa:bb:cc:dd:ee:ff
# OS Customization
image: fedora40 # Base image
cloudinit: true # Enable cloud-init
keys: # SSH public keys
- ssh-rsa AAAA... user@host
cmds: # Post-boot commands
- dnf -y update
- systemctl enable nginx
files: # Files to inject
- path: /etc/myconfig
content: |
key=value# List available images
kcli list image
# Download image
kcli download image fedora40
kcli download image centos9stream -p mypool
# Delete image
kcli delete image fedora40
# List all available images (from kcli catalog)
kcli list available-imagesProfiles in ~/.kcli/profiles.yml:
small:
numcpus: 1
memory: 1024
disks:
- size: 10
medium:
numcpus: 2
memory: 2048
disks:
- size: 20
webserver:
image: centos9stream
numcpus: 2
memory: 4096
nets:
- default
cmds:
- dnf -y install nginx
- systemctl enable --now nginxUsage:
kcli create vm -p webserver myweb# Update memory
kcli update vm myvm -P memory=8192
# Update CPUs
kcli update vm myvm -P numcpus=4
# Update metadata
kcli update vm myvm -P information="Production server"kcli clone vm myvm myclone
kcli clone vm myvm myclone --full # Full clone (not linked)kcli export vm myvm # Export to image
kcli export vm myvm --image myimage # Custom image namekcli -d start vm myvm # Debug output
sudo virsh list --all # Check libvirt state
sudo virsh start myvm # Try direct start# Check DHCP is enabled on network
kcli info network default
# Check cloud-init completed
kcli ssh myvm
cat /var/log/cloud-init.log# Get SSH command details
kcli ssh -l myvm
# Check VM has IP
kcli info vm myvm -f ip
# Try direct SSH
ssh -i ~/.kcli/id_rsa user@<ip>© karmab, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/kcli-vm-operations of karmab/kcli.
Open the folder on GitHubat commit 30a28e3
Kcli Vm Operations next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Kcli Vm Operations this skillkarmab/kcli | 653 | — | ~1.5k | Automated safety check: Warn | Apache-2.0 | |
| Monitor CInrwl/nx | 29k | 5 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Terraform and OpenTofu Guideagentscope-ai/QwenPaw | 35k | 6 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Vercel Optimize Auditvercel-labs/agent-skills | 32k | 8 repos | ~4.3k | Automated safety check: Pass | None | |
| Analyze GitHub Action Logswithastro/astro | 63k | 1 repos | ~1.3k | Automated safety check: Pass | Custom licence | |
| Docs Learn PR Previewnetdata/netdata | 81k | — | ~2k | Automated safety check: Pass | GPL-3.0 |
nrwl/nx
Monitor Nx Cloud CI pipeline and handle self-healing fixes. An agent skill from nrwl/nx.
agentscope-ai/QwenPaw
Guidance for writing and testing Terraform and OpenTofu code: module structure, naming, test approaches, CI/CD workflows, state handling and security scanning.
vercel-labs/agent-skills
Runs a metrics-first audit of a deployed Vercel project, gating investigations on real signals to produce ranked, citation-backed cost and performance recommendations.
withastro/astro
Analyze recent GitHub Actions workflow runs to identify patterns, mistakes, and improvements.
netdata/netdata
Use only when the user explicitly asks to build, run, preview, inspect, or validate learn.netdata.cloud locally using the contents of a PR or documentation branch before merge.
netdata/netdata
Inspect Netdata-org source checkouts under NETDATAREPOSDIR, or set up and synchronize that mirror when requested.
karmab/kcli
Guides deployment and management of Kubernetes clusters with kcli.
karmab/kcli
Comprehensive guide for kcli usage. An agent skill from karmab/kcli.
karmab/kcli
Guides creation of kcli plan files for deploying VMs, networks, and infrastructure.
karmab/kcli
Guides implementation of new virtualization providers for kcli.
karmab/kcli
Guides kcli configuration and provider setup. An agent skill from karmab/kcli.
karmab/kcli
Guides interaction with kcli VMs via ksushy (Redfish emulator).
Categories
Guides VM lifecycle operations with kcli. An agent skill from karmab/kcli. Kcli Vm Operations is an agent skill from karmab/kcli. Guides VM lifecycle operations with kcli.
Kcli Vm Operations fits situations like: troubleshooting virtual machines across providers.
Run `npx skills add karmab/kcli --skill kcli-vm-operations -a claude-code`. Or copy the skill folder (skills/kcli-vm-operations in karmab/kcli) into .claude/skills/kcli-vm-operations in your project. Claude Code loads it when a task matches its description.
Run `npx skills add karmab/kcli --skill kcli-vm-operations -a codex`. Or copy the skill folder (skills/kcli-vm-operations in karmab/kcli) into .agents/skills/kcli-vm-operations in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add karmab/kcli --skill kcli-vm-operations -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kcli-vm-operations, .gemini/skills/kcli-vm-operations, .github/skills/kcli-vm-operations and .opencode/skills/kcli-vm-operations in your project.
Going by SKILL.md and its folder, Kcli Vm Operations needs the command-line tools its instructions call (ssh).
SKILL.md contains no URLs. Its commands use ssh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md flagged 1 warning(s): mentions a credentials file (ssh keys, cloud or package-manager tokens). Read the flagged lines before installing; the check is not a guarantee either way.
Kcli Vm Operations is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 5.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Kcli Vm Operations: Monitor CI (nrwl/nx, 29k stars), Terraform and OpenTofu Guide (agentscope-ai/QwenPaw, 35k stars), Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars) and Analyze GitHub Action Logs (withastro/astro, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
karmab (a GitHub user) maintains it in karmab/kcli, which has 653 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 6, 2026.
Source: karmab/kcli on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.