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Agent skill

Kcli Plan Authoring

by karmab in karmab/kcli

Guides creation of kcli plan files for deploying VMs, networks, and infrastructure.

Apache-2.0Auto-check passedDevelopment

Install Kcli Plan Authoring

skills CLI
$ npx skills add karmab/kcli --skill kcli-plan-authoring -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install karmab/kcli kcli-plan-authoring --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/karmab/kcli.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/kcli-plan-authoring .claude/skills/kcli-plan-authoring && rm -rf skills-src

Use ~/.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/

Facts

Skill name
kcli-plan-authoring
GitHub stars
653
Token cost
~1.3k tokens
SKILL.md length
331 words
Files
1
Skills in repo
8
Repo updated
First seen
Licence
Apache-2.0

At a glance

Guides creation of kcli plan files for deploying VMs, networks, and infrastructure.

  • Works in 4 steps: Validate YAML syntax - Use python -c… → Check Jinja2 rendering - Look for… → Run with debug - kcli -d create plan -f… → …
  • Writing YAML plans with Jinja2 templating
  • SKILL.md covers Plan File Structure, Resource Types, Jinja2 Templating and Parameter Files, plus 4 more sections
  • Calls python

What it does

Kcli Plan Authoring is an agent skill from karmab/kcli. Guides creation of kcli plan files for deploying VMs, networks, and infrastructure. Use when writing YAML plans with Jinja2 templating or debugging plan execution issues.

Its SKILL.md is about 1.3k 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 Development, covering Debugging. It works with Kubernetes. The repository describes itself as: Management tool for virtualization and kubernetes platforms. The licence is Apache-2.0.

When your agent uses it

  • Writing YAML plans with Jinja2 templating
  • Debugging plan execution issues

Example prompts

  • “Use the kcli-plan-authoring skill to guide creation of kcli plan files for deploying VMs, networks, and infrastructure”
  • “/kcli-plan-authoring”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Validate YAML syntax - Use python -c "import yaml; yaml.safe_load(open('plan.yml'))"
  2. Check Jinja2 rendering - Look for unbalanced {{ }} or {% %}
  3. Run with debug - kcli -d create plan -f plan.yml test
  4. Check dependencies - Ensure images/networks exist before VMs reference them

What it can do on your machine

Read from SKILL.md and the folder at commit 6e1c0b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Kcli Plan Authoring loads about 1.3k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 331 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from karmab/kcli at commit 6e1c0b5, republished under its Apache-2.0 licence (© karmab). 331 words, ~1,339 tokens.

Download SKILL.mdSave it as .claude/skills/kcli-plan-authoring/SKILL.md (or your agent's skills folder).
name
kcli-plan-authoring
description
Guides creation of kcli plan files for deploying VMs, networks, and infrastructure. Use when writing YAML plans with Jinja2 templating or debugging plan execution issues.

kcli Plan Authoring

Plan File Structure

Plans are YAML files with Jinja2 templating. Resources are defined as top-level keys with a type field.

yaml
parameters:
  param1: value1
  param2: value2

resourcename:
  type: resourcetype
  key1: value1
  key2: {{ param1 }}

Resource Types

VM (default if no type specified)
yaml
myvm:
  image: fedora40
  memory: 4096
  numcpus: 2
  disks:
    - size: 20
    - size: 10
      pool: otherpool
  nets:
    - name: default
    - name: mynet
      ip: 192.168.1.10
      netmask: 255.255.255.0
      gateway: 192.168.1.1
  cmds:
    - echo hello > /tmp/test
  files:
    - path: /etc/myconfig
      content: |
        key=value
Profile
yaml
myprofile:
  type: profile
  image: centos9stream
  memory: 2048
  numcpus: 2
  disks:
    - 10
  nets:
    - default
Network
yaml
mynetwork:
  type: network
  cidr: 192.168.100.0/24
  dhcp: true
  nat: true
  domain: mylab.local
Image
yaml
myimage:
  type: image
  url: https://example.com/image.qcow2
  pool: default
Container
yaml
mycontainer:
  type: container
  image: nginx:latest
  ports:
    - 8080:80

Jinja2 Templating

Parameter Substitution
yaml
parameters:
  cluster_name: mycluster
  worker_count: 3

{{ cluster_name }}-master:
  image: rhcos
  
{% for i in range(worker_count) %}
{{ cluster_name }}-worker-{{ i }}:
  image: rhcos
{% endfor %}
Conditionals
yaml
parameters:
  enable_storage: true

myvm:
  image: fedora40
{% if enable_storage %}
  disks:
    - size: 100
{% endif %}
Custom Filters

kcli provides custom Jinja2 filters in kvirt/jinjafilters/jinjafilters.py:

Path/File Filters:

  • basename - Get filename from path
  • dirname - Get directory from path
  • diskpath - Convert to /dev/ path if needed
  • exists - Check if file/path exists
  • pwd_path - Handle workdir paths in containers
  • real_path - Get real/absolute path
  • read_file - Read file contents

String/Data Filters:

  • none - Return empty string if None
  • type - Return type name (string, int, dict, list)
  • base64 - Base64 encode value
  • certificate - Wrap in BEGIN/END CERTIFICATE if needed
  • count - Count occurrences of character

Kubernetes/Cluster Filters:

  • kubenodes - Generate node names for cluster
  • defaultnodes - Generate default node list
  • has_ctlplane - Check if list has ctlplane/master entries

Version/Release Filters:

  • github_version - Get latest version from GitHub releases
  • min_ocp_version - Compare OpenShift versions (minimum)
  • max_ocp_version - Compare OpenShift versions (maximum)

Network Filters:

  • local_ip - Get local IP for network interface
  • network_ip - Get IP from network CIDR
  • ipv6_wrap - Wrap IPv6 addresses in brackets

Utility Filters:

  • kcli_info - Get VM info via kcli command
  • find_manifests - Find YAML manifests in directory
  • wait_crd - Generate wait script for CRD creation
  • wait_csv - Generate wait script for CSV readiness
  • filter_bgp_peers - Filter BGP peer list

Standard Jinja2 filters (default, join, upper, lower, etc.) also work

Parameter Files

Create kcli_parameters.yml alongside your plan:

yaml
cluster_name: prod
worker_count: 5
memory: 8192

Override at runtime:

bash
kcli create plan -f myplan.yml -P worker_count=10 myplan

Common VM Parameters

ParameterDefaultDescription
numcpus2Number of CPUs
memory512Memory in MB
pooldefaultStorage pool
imageNoneBase image name
nets[default]Network list
disks[{size:10}]Disk list
cmds[]Post-boot commands
files[]Files to inject
keys[]SSH public keys
starttrueAuto-start VM
cloudinittrueEnable cloud-init

Plan Execution

bash
# Create plan
kcli create plan -f myplan.yml myplanname

# Create with parameter overrides
kcli create plan -f myplan.yml -P memory=4096 -P image=fedora40 myplanname

# List plans
kcli list plan

# Get plan info
kcli info plan myplanname

# Delete plan (and all its resources)
kcli delete plan myplanname

# Update existing plan
kcli update plan -f myplan.yml myplanname

Debugging Plans

  1. Validate YAML syntax - Use python -c "import yaml; yaml.safe_load(open('plan.yml'))"
  2. Check Jinja2 rendering - Look for unbalanced {{ }} or {% %}
  3. Run with debug - kcli -d create plan -f plan.yml test
  4. Check dependencies - Ensure images/networks exist before VMs reference them

Example: Multi-VM Plan

yaml
parameters:
  domain: lab.local
  base_image: centos9stream

labnetwork:
  type: network
  cidr: 10.0.0.0/24
  dhcp: true
  domain: {{ domain }}

webserver:
  image: {{ base_image }}
  memory: 2048
  nets:
    - labnetwork
  cmds:
    - dnf -y install nginx
    - systemctl enable --now nginx

database:
  image: {{ base_image }}
  memory: 4096
  disks:
    - size: 20
    - size: 50
  nets:
    - labnetwork
  cmds:
    - dnf -y install postgresql-server
    - postgresql-setup --initdb

© 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

Files

Just SKILL.md in skills/kcli-plan-authoring of karmab/kcli.

Open the folder on GitHubat commit 6e1c0b5

Compare with similar skills

Kcli Plan Authoring 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.

Kcli Plan Authoring compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Kcli Plan Authoring this skillkarmab/kcli653—~1.3kAutomated safety check: PassApache-2.0
Code Reviewaide-family/moon253—~815Automated safety check: PassNone
Dotnet Debuggingnovotnyllc/dotnet-artisan233—~2.1kAutomated safety check: PassMIT
Debugging Techniquesancoleman/ai-design-components526—~3.3kAutomated safety check: PassMIT
.NET Crash Dump Collectiondotnet/skills5.6k2 repos~1.1kAutomated safety check: PassMIT
Intrinsic Core Debuggingintrinsic-ai/intrinsic-core553—~3.8kAutomated safety check: NotesApache-2.0

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Works with

Categories

Questions about Kcli Plan Authoring

What does Kcli Plan Authoring do?

Guides creation of kcli plan files for deploying VMs, networks, and infrastructure. Kcli Plan Authoring is an agent skill from karmab/kcli. Guides creation of kcli plan files for deploying VMs, networks, and infrastructure.

When should I use Kcli Plan Authoring?

Kcli Plan Authoring fits situations like: writing YAML plans with Jinja2 templating; debugging plan execution issues.

How do I install Kcli Plan Authoring in Claude Code?

Run `npx skills add karmab/kcli --skill kcli-plan-authoring -a claude-code`. Or copy the skill folder (skills/kcli-plan-authoring in karmab/kcli) into .claude/skills/kcli-plan-authoring in your project. Claude Code loads it when a task matches its description.

How do I install Kcli Plan Authoring in Codex?

Run `npx skills add karmab/kcli --skill kcli-plan-authoring -a codex`. Or copy the skill folder (skills/kcli-plan-authoring in karmab/kcli) into .agents/skills/kcli-plan-authoring in your project. Codex loads it when a task matches its description.

Can I use Kcli Plan Authoring in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add karmab/kcli --skill kcli-plan-authoring -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-plan-authoring, .gemini/skills/kcli-plan-authoring, .github/skills/kcli-plan-authoring and .opencode/skills/kcli-plan-authoring in your project.

What does Kcli Plan Authoring need to run?

Going by SKILL.md and its folder, Kcli Plan Authoring needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Kcli Plan Authoring access the network?

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.

Is Kcli Plan Authoring safe to install?

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.

What licence does Kcli Plan Authoring use?

Kcli Plan Authoring 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.

How many tokens does Kcli Plan Authoring use?

About 1.3k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Kcli Plan Authoring?

Skills that share tags, products or a category with Kcli Plan Authoring: Code Review (aide-family/moon, 253 stars), Dotnet Debugging (novotnyllc/dotnet-artisan, 233 stars), Debugging Techniques (ancoleman/ai-design-components, 526 stars) and .NET Crash Dump Collection (dotnet/skills, 5.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Kcli Plan Authoring?

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 7, 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.