Apex Azure Cloud Migrate
jonathan-vella/apex
WORKFLOW SKILL — Assess and migrate cross-cloud workloads to Azure: assessments and code conversion from AWS, GCP, Heroku, Kubernetes or Spring.
Guides deployment and management of Kubernetes clusters with kcli.
$ npx skills add karmab/kcli --skill kcli-cluster-deployment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install karmab/kcli kcli-cluster-deployment --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-cluster-deployment .claude/skills/kcli-cluster-deployment && 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-cluster-deployment" agent skill from https://github.com/karmab/kcli/tree/main/skills/kcli-cluster-deployment into .claude/skills/kcli-cluster-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kcli-cluster-deployment", 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-cluster-deploymentType 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-cluster-deployment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install karmab/kcli kcli-cluster-deployment --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-cluster-deployment .agents/skills/kcli-cluster-deployment && 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-cluster-deployment" agent skill from https://github.com/karmab/kcli/tree/main/skills/kcli-cluster-deployment into .agents/skills/kcli-cluster-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kcli-cluster-deployment", 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-cluster-deployment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install karmab/kcli kcli-cluster-deployment --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-cluster-deployment .cursor/skills/kcli-cluster-deployment && 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-cluster-deployment" agent skill from https://github.com/karmab/kcli/tree/main/skills/kcli-cluster-deployment into .cursor/skills/kcli-cluster-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kcli-cluster-deployment", 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-cluster-deployment--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-cluster-deployment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install karmab/kcli kcli-cluster-deployment --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-cluster-deployment .gemini/skills/kcli-cluster-deployment && 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-cluster-deployment" agent skill from https://github.com/karmab/kcli/tree/main/skills/kcli-cluster-deployment into .gemini/skills/kcli-cluster-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kcli-cluster-deployment", 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-cluster-deploymentInstalls 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-cluster-deployment -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-cluster-deployment .github/skills/kcli-cluster-deployment && 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-cluster-deployment" agent skill from https://github.com/karmab/kcli/tree/main/skills/kcli-cluster-deployment into .github/skills/kcli-cluster-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kcli-cluster-deployment", 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-cluster-deployment -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-cluster-deployment --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-cluster-deployment .opencode/skills/kcli-cluster-deployment && 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-cluster-deployment" agent skill from https://github.com/karmab/kcli/tree/main/skills/kcli-cluster-deployment into .opencode/skills/kcli-cluster-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kcli-cluster-deployment", 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-cluster-deploymentGuides deployment and management of Kubernetes clusters with kcli.
Kcli Cluster Deployment is an agent skill from karmab/kcli. Guides deployment and management of Kubernetes clusters with kcli. Use when deploying OpenShift, k3s, kubeadm, or other Kubernetes distributions.
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, covering Container orchestration and Deployment. It works with Kubernetes, Google Kubernetes Engine, Amazon Web Services and Google Cloud. The repository describes itself as: Management tool for virtualization and kubernetes platforms. The licence is Apache-2.0.
4 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:
kubectlFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use kubectl, 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 Cluster Deployment loads about 1.5k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 187 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 no risky patterns in SKILL.md.
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). 187 words, ~1,477 tokens.
.claude/skills/kcli-cluster-deployment/SKILL.md (or your agent's skills folder).| Type | Description | Module |
|---|---|---|
openshift | Red Hat OpenShift (IPI/UPI) | kvirt/cluster/openshift/ |
okd | Community OpenShift | Same as openshift |
hypershift | OpenShift Hosted Control Planes | kvirt/cluster/hypershift/ |
microshift | Lightweight edge OpenShift | kvirt/cluster/microshift/ |
generic | Generic Kubernetes (alias: kubernetes) | kvirt/cluster/kubernetes/ |
kubeadm | Standard Kubernetes via kubeadm | kvirt/cluster/kubeadm/ |
k3s | Lightweight Kubernetes | kvirt/cluster/k3s/ |
rke2 | Rancher Kubernetes Engine 2 | kvirt/cluster/rke2/ |
aks | Azure Kubernetes Service | kvirt/cluster/aks/ |
eks | Amazon Elastic Kubernetes | kvirt/cluster/eks/ |
gke | Google Kubernetes Engine | kvirt/cluster/gke/ |
# Create cluster
kcli create kube <type> <clustername>
# Create with parameters
kcli create kube openshift -P ctlplanes=3 -P workers=2 mycluster
# List clusters
kcli list kube
# Get cluster info
kcli info kube mycluster
# Delete cluster
kcli delete kube mycluster
# Scale cluster
kcli scale kube <type> -P workers=5 mycluster
# Get kubeconfig
kcli get kubeconfig myclusterkcli create kube openshift -P pull_secret=~/pull-secret.json mycluster# Required
pull_secret: ~/pull-secret.json # Red Hat pull secret
domain: example.com # Base domain
# Topology
ctlplanes: 3 # Control plane nodes
workers: 2 # Worker nodes
version: stable # OpenShift version (stable, 4.14, etc.)
# Resources
ctlplane_memory: 16384 # Control plane memory (MB)
ctlplane_numcpus: 8 # Control plane CPUs
worker_memory: 8192 # Worker memory
worker_numcpus: 4 # Worker CPUs
# Networking
network: default # Libvirt network
api_ip: 192.168.122.253 # API VIP (auto-detected if omitted)
ingress_ip: 192.168.122.252 # Ingress VIPdisconnected_url: registry.local:5000
disconnected_user: admin
disconnected_password: password
ca: |
-----BEGIN CERTIFICATE-----
...
-----END CERTIFICATE-----kcli create kube kubeadm -P domain=k8s.local -P ctlplanes=1 -P workers=2 myk8sdomain: k8s.local # Required domain
version: 1.29 # Kubernetes version
ctlplanes: 1 # Control planes (odd number for HA)
workers: 2 # Worker count
network: default # Network name
api_ip: 192.168.122.250 # API endpoint (for multi-ctlplane)
image: centos9stream # Base OS imagekcli create kube k3s -P ctlplanes=1 -P workers=2 myk3sctlplanes: 1
workers: 2
version: latest # k3s version
domain: k3s.local
image: ubuntu2204kcli create kube rke2 -P ctlplanes=1 -P workers=2 myrke2ctlplanes: 1
workers: 2
version: latest # RKE2 version
domain: rke2.local
image: ubuntu2204kcli create kube hypershift \
-P pull_secret=~/pull-secret.json \
-P nodepool_replicas=2 \
myhypershiftpull_secret: ~/pull-secret.json
management_cluster: mgmt # Existing cluster name
nodepool_replicas: 2 # Worker node count
release_image: ... # Specific OCP releasekcli create kube microshift -P pull_secret=~/pull-secret.json mymicroshiftpull_secret: ~/pull-secret.json
version: latest # MicroShift version
image: rhel9 # RHEL-based image requiredClusters store state in ~/.kcli/clusters/<clustername>/:
~/.kcli/clusters/mycluster/
├── kcli_parameters.yml # Stored parameters
├── kubeconfig # Cluster kubeconfig
├── auth/ # Auth credentials (OpenShift)
│ ├── kubeadmin-password
│ └── kubeconfig
└── (other cluster-specific files)# Scale workers
kcli scale kube openshift -P workers=5 mycluster
# Scale control planes (careful!)
kcli scale kube kubeadm -P ctlplanes=3 mycluster
# Add nodes with specific parameters
kcli scale kube openshift -P workers=3 -P worker_memory=16384 mycluster# OpenShift: watch bootstrap
kcli ssh mycluster-bootstrap
journalctl -f -u bootkube
# kubeadm: check cluster status
export KUBECONFIG=~/.kcli/clusters/mycluster/kubeconfig
kubectl get nodes
kubectl get pods -Aapi_ip is in the correct subnetsslip: truekcli -d create kube openshift mycluster # Verbose outputFor cloud providers (AWS, GCP, Azure), kcli can:
cloud_lb: true)cloud_dns: true)cloud_storage: true)cloud_lb: true
cloud_dns: true
cloud_storage: true© 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-cluster-deployment of karmab/kcli.
Open the folder on GitHubat commit 30a28e3
Kcli Cluster Deployment 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 Cluster Deployment this skillkarmab/kcli | 653 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Apex Azure Cloud Migratejonathan-vella/apex | 217 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Provider Bug Reviewmondoohq/mql | 411 | — | ~2.9k | Automated safety check: Pass | Custom licence | |
| Extend Discovery Typerunwhen-contrib/runwhen-local | 163 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Aspire DeploymentCommunityToolkit/Aspire | 629 | — | ~4.5k | Automated safety check: Notes | MIT | |
| Azure Arcvinayaklatthe/microsoft-security-skills | 175 | — | ~1.9k | Automated safety check: Pass | MIT |
jonathan-vella/apex
WORKFLOW SKILL — Assess and migrate cross-cloud workloads to Azure: assessments and code conversion from AWS, GCP, Heroku, Kubernetes or Spring.
mondoohq/mql
Deep static code review of an mql provider for logic errors, nil-handling bugs, pagination truncation, caching/id collisions, and other defects that silently give users wrong data.
runwhen-contrib/runwhen-local
Add or enrich a resource type in an existing RunWhen Local discovery indexer (Azure azureapi, GCP gcpapi, AWS, or Kubernetes).
CommunityToolkit/Aspire
WORKFLOW SKILL — Deploy Aspire apps from AppHost models to Docker Compose, Kubernetes, Azure, AWS, or preview Radius.
vinayaklatthe/microsoft-security-skills
Guidance for Azure Arc — projecting on-premises, multicloud (AWS/GCP), and edge servers, Kubernetes, and data services into Azure Resource Manager for unified governance, security, and management.
mondoohq/mql
A skill your agent uses when a provider scan is slow, times out, or trips rate limits (429, throttling, Retry-After), when the same request URL appears many times in a debug log, when an asset's…
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).
karmab/kcli
Guides testing and code quality for kcli. An agent skill from karmab/kcli.
Categories
Guides deployment and management of Kubernetes clusters with kcli. Kcli Cluster Deployment is an agent skill from karmab/kcli. Guides deployment and management of Kubernetes clusters with kcli.
Kcli Cluster Deployment fits situations like: deploying OpenShift; other Kubernetes distributions.
Run `npx skills add karmab/kcli --skill kcli-cluster-deployment -a claude-code`. Or copy the skill folder (skills/kcli-cluster-deployment in karmab/kcli) into .claude/skills/kcli-cluster-deployment in your project. Claude Code loads it when a task matches its description.
Run `npx skills add karmab/kcli --skill kcli-cluster-deployment -a codex`. Or copy the skill folder (skills/kcli-cluster-deployment in karmab/kcli) into .agents/skills/kcli-cluster-deployment 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-cluster-deployment -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-cluster-deployment, .gemini/skills/kcli-cluster-deployment, .github/skills/kcli-cluster-deployment and .opencode/skills/kcli-cluster-deployment in your project.
Going by SKILL.md and its folder, Kcli Cluster Deployment needs the command-line tools its instructions call (kubectl).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Kcli Cluster Deployment 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 Cluster Deployment: Apex Azure Cloud Migrate (jonathan-vella/apex, 217 stars), Provider Bug Review (mondoohq/mql, 411 stars), Extend Discovery Type (runwhen-contrib/runwhen-local, 163 stars) and Aspire Deployment (CommunityToolkit/Aspire, 629 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.