Ansible Interactive

Community

realsigridjin

ansible-interactive

Use when guiding someone through Ansible setup step-by-step. Use when starting a new Ansible project from scratch. Use when teaching Ansible through hands-on development.

Overview

Publisher	realsigridjin
Repository	`hello-ansible-skills`
Skill name	`ansible-interactive`
Stars	95
Forks	13
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by realsigridjin on GitHub. Read the source before you install it.

Installation

Install the Ansible Interactive AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/realsigridjin/hello-ansible-skills/tree/main/skills/ansible-interactive
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/realsigridjin/hello-ansible-skills/tree/main/skills/ansible-interactive

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/realsigridjin/hello-ansible-skills.git /tmp/hello-ansible-skills
mkdir -p .claude/skills
cp -r /tmp/hello-ansible-skills/skills/ansible-interactive .claude/skills/ansible-interactive

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ansible Interactive in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ansible Interactive on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ansible Interactive is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Interactive Ansible Development

Overview

Interactive development builds automation incrementally with continuous validation. Each component is tested before adding the next. This catches errors early when they're easy to diagnose.

When to Use

Setting up Ansible for a new environment
Teaching someone Ansible hands-on
Building playbooks incrementally with validation
Troubleshooting connectivity before automation

Development Phases

Phase 1: Environment Analysis

Gather before writing any code:

Question	Why It Matters
How many servers?	Affects inventory organization
IP addresses/hostnames?	Required for inventory
SSH user and key location?	Connection configuration
Password or key auth?	Determines SSH setup
Sudo with or without password?	Privilege escalation config
Server roles (web, db, app)?	Inventory grouping
Operating systems?	Module selection (apt vs yum)

Verify Ansible is installed: ansible --version

Phase 2: Project Setup

Create minimal structure:

bash
mkdir ansible-project && cd ansible-project

ansible.cfg:

ini
[defaults]
inventory = ./inventory
host_key_checking = False
stdout_callback = yaml

[privilege_escalation]
become = True
become_method = sudo

inventory:

ini
[webservers]
web1 ansible_host=192.168.1.10 ansible_user=admin ansible_ssh_private_key_file=~/.ssh/id_rsa

[dbservers]
db1 ansible_host=192.168.1.20 ansible_user=admin ansible_ssh_private_key_file=~/.ssh/id_rsa

Phase 3: Connectivity Test

Always test before writing playbooks:

bash
ansible all -m ping

Result	Action
SUCCESS	Proceed to playbooks
UNREACHABLE	Check `ssh -v user@host`
Permission denied	Verify key path, permissions (600)
Sudo password required	Add `--ask-become-pass` or configure NOPASSWD

Phase 4: Incremental Playbook Development

Start simple, add one task at a time:

yaml
# playbook.yml - start with facts
---
- hosts: all
  tasks:
    - name: Show OS info
      ansible.builtin.debug:
        msg: "{{ ansible_distribution }} {{ ansible_distribution_version }}"

Run: ansible-playbook playbook.yml

Then add tasks one by one, testing after each:

yaml
    - name: Ensure nginx installed
      ansible.builtin.package:
        name: nginx
        state: present

Run again. Fix any errors before adding more.

Phase 5: Validation Cycle

After each change:

ansible-playbook --syntax-check playbook.yml
ansible-playbook --check --diff playbook.yml
ansible-playbook playbook.yml
Run again—verify changed=0 (idempotency)

Red Flags - Stop and Debug

Adding multiple untested tasks at once
Skipping --check before real runs
Ignoring "changed" on second run
Not testing SSH before writing playbooks

Communication Pattern

When guiding users:

Explain what will happen before running commands
After completion, summarize what was done
When multiple approaches exist, present options with tradeoffs
Acknowledge progress at milestones

Frequently asked questions

What does the Ansible Interactive AI skill do?

Use when guiding someone through Ansible setup step-by-step. Use when starting a new Ansible project from scratch. Use when teaching Ansible through hands-on development.

Why use Ansible Interactive on TypingMind?

Because you install it once and use it with any model. Ansible Interactive is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ansible Interactive in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/realsigridjin/hello-ansible-skills/tree/main/skills/ansible-interactive. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ansible Interactive?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ansible Interactive?

As many as you like. As long as a model supports skills, you can use Ansible Interactive with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ansible Interactive AI skill free?

Yes. It is published on GitHub by realsigridjin under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Interactive Ansible Development

Overview

When to Use

Development Phases

Phase 1: Environment Analysis

Phase 2: Project Setup

Phase 3: Connectivity Test

Phase 4: Incremental Playbook Development

Phase 5: Validation Cycle

Red Flags - Stop and Debug

Communication Pattern

Frequently asked questions

Related AI Skills

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