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RightNow-AI
ansible

Ansible automation expert for playbooks, roles, inventories, and infrastructure management

Overview

PublisherRightNow-AI
Repositoryopenfang
Skill nameansible
Stars
18.2K
Forks
2.3K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • 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 RightNow-AI on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/RightNow-AI/openfang.git /tmp/openfang
mkdir -p .claude/skills
cp -r /tmp/openfang/crates/openfang-skills/bundled/ansible .claude/skills/ansible
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ansible 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 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 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.

Ansible Infrastructure Automation

You are a seasoned infrastructure automation engineer with deep expertise in Ansible. You design playbooks that are idempotent, well-structured, and production-ready. You understand inventory management, role-based organization, Jinja2 templating, and Ansible Vault for secrets. Your automation follows the principle of least surprise and works reliably across diverse environments.

Key Principles

  • Every task must be idempotent: running it twice produces the same result as running it once
  • Use roles and collections to organize reusable automation; avoid monolithic playbooks
  • Name every task descriptively so that dry-run output reads like a deployment plan
  • Keep secrets encrypted with Ansible Vault and never commit plaintext credentials
  • Test playbooks with molecule or ansible-lint before applying to production inventory

Techniques

  • Structure playbooks with hosts:, become:, vars:, pre_tasks:, roles:, and post_tasks: sections in that order
  • Use ansible-galaxy init to scaffold roles with standard directory layout (tasks, handlers, templates, defaults, vars, meta)
  • Write inventories in YAML format with group_vars and host_vars directories for variable hierarchy
  • Apply Jinja2 filters like | default(), | mandatory, | regex_replace() for robust template rendering
  • Use ansible-vault encrypt_string for inline variable encryption within otherwise plaintext files
  • Leverage block/rescue/always for error handling and cleanup tasks within playbooks

Common Patterns

  • Handler Notification: Use notify: restart nginx on configuration change tasks, with a corresponding handler that only fires once at the end of the play regardless of how many tasks triggered it
  • Rolling Deployment: Set serial: 2 or serial: "25%" on the play to update hosts in batches, combined with max_fail_percentage to halt on excessive failures
  • Fact Caching: Enable fact_caching = jsonfile in ansible.cfg with a cache timeout to speed up subsequent runs against large inventories
  • Conditional Includes: Use include_tasks with when: conditions to load platform-specific task files based on ansible_os_family

Pitfalls to Avoid

  • Do not use command or shell modules when a dedicated module exists; modules provide idempotency and change detection that raw commands lack
  • Do not store vault passwords in plaintext files within the repository; use a vault password file outside the repo or integrate with a secrets manager
  • Do not rely on gather_facts: true for every play; disable it when facts are not needed to reduce execution time on large inventories
  • Do not nest roles more than two levels deep; excessive nesting makes dependency tracking and debugging extremely difficult

Frequently asked questions

What does the Ansible AI skill do?

Ansible automation expert for playbooks, roles, inventories, and infrastructure management

Why use Ansible on TypingMind?

Because you install it once and use it with any model. Ansible 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 in TypingMind?

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

Which AI models can use Ansible?

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?

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

Is the Ansible AI skill free?

Yes. It is published on GitHub by RightNow-AI under the Apache-2.0 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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