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Ansible Generator

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akin-ozer
ansible-generator

Generate, create, or scaffold Ansible playbooks, roles, tasks, handlers, inventory, vars.

Overview

Publisherakin-ozer
Repositorycc-devops-skills
Skill nameansible-generator
Stars
326
Forks
39
Bundled files
33
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.

  • 33 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by akin-ozer on GitHub. Read the source before you install it.

Installation

Install the Ansible Generator 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.
    https://github.com/akin-ozer/cc-devops-skills/tree/main/devops-skills-plugin/skills/ansible-generator
  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/akin-ozer/cc-devops-skills.git /tmp/cc-devops-skills
mkdir -p .claude/skills
cp -r /tmp/cc-devops-skills/devops-skills-plugin/skills/ansible-generator .claude/skills/ansible-generator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ansible Generator 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 Generator 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 Generator 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 Generator

Trigger Phrases

Use this skill when the request is to generate or scaffold Ansible content, for example:

  • "Create a playbook to deploy nginx with TLS."
  • "Generate an Ansible role for PostgreSQL backups."
  • "Write inventory files for prod and staging."
  • "Build reusable Ansible tasks for user provisioning."
  • "Initialize an Ansible project with ansible.cfg and requirements.yml."
  • "Give me a quick Ansible snippet to install Docker."

Do not use this skill as the primary workflow when the request is validation/debug-only (syntax errors, lint failures, Molecule/test failures). Use ansible-validator for those cases.

Deterministic Execution Flow

Run these stages in order. Do not skip a stage unless the Validation Exceptions Matrix explicitly allows it.

Stage 0: Classify Request Mode

Determine one mode first:

ModeTypical user intentDeliverable
full-generation"create/build/generate" a full playbook/role/inventory/project file setComplete file(s), production-ready
snippet-only"quick snippet/example" without full file contextFocused task/play snippet
docs-onlyexplanation, pattern comparison, or conceptual guidance onlyExplanatory content, optional examples

Stage 1: Collect Minimum Inputs

If details are missing, ask briefly. If the user does not provide them, proceed with safe defaults and state assumptions.

Resource typeRequired inputsSafe defaults if missing
Playbooktarget hosts, privilege (become), OS family, objectivehosts: all, become: false, OS-agnostic modules
Rolerole name, primary service/package, supported OSrole name from task domain, Debian + RedHat vars
Tasks fileoperation scope, required vars, execution contextstandalone reusable tasks with documented vars
Inventoryenvironments, host groups, hostnames/IPsproduction/staging groups with placeholders
Project configcollections/roles dependencies, lint policyminimal ansible.cfg, requirements.yml, .ansible-lint

Stage 2: Reference Extraction Checklist

Before drafting content, extract the following from local references/templates.

Required references
  • references/best-practices.md
    • Extract: FQCN requirements, idempotency rules, naming, security expectations.
  • references/module-patterns.md
    • Extract: correct module/parameter patterns for the exact task type.
Required templates by output type
  • Playbook: assets/templates/playbook/basic_playbook.yml
  • Role: assets/templates/role/ (including meta/argument_specs.yml and molecule/default/ for test scaffolding)
  • Inventory (INI): assets/templates/inventory/hosts
  • Inventory (YAML): assets/templates/inventory/hosts.yml
  • Project config: assets/templates/project/ansible.cfg, assets/templates/project/requirements.yml, assets/templates/project/.ansible-lint
Extraction checks
  • Identify every [PLACEHOLDER] that must be replaced.
  • Decide module selection priority (ansible.builtin.* first).
  • Capture at least one OS-appropriate package pattern when OS-specific behavior is needed.
  • Capture required prerequisites (collections, binaries, target assumptions).

Stage 3: Generate

Apply these generation standards:

  1. Use FQCN module names (ansible.builtin.* first choice).
  2. Keep tasks idempotent (state, creates/removes, changed_when when needed).
  3. Use descriptive verb-first task names.
  4. Use true/false booleans (not yes/no).
  5. Add no_log: true for sensitive values.
  6. Replace all placeholders before presenting output.
  7. Prefer ansible.builtin.dnf for RHEL 8+/CentOS 8+ (legacy yum only for older systems).

Stage 4: Validate (Default) or Apply Exception (Fallback)

Use the matrix below to keep validation deterministic and non-blocking.

Validation Exceptions Matrix

ScenarioDefault behaviorAllowed fallbackWhat to report
full-generationRun ansible-validator after generation and after each fix passIf validator/tools are unavailable, run manual static checks (YAML shape, placeholder scan, FQCN/idempotency/security review) and provide exact deferred validation commandsExplicitly list which checks ran, which were skipped, and why
snippet-onlySkip full validator by default; do inline sanity checksRun full validator only if user asks or snippet is promoted to full fileState that validation was limited because output is snippet-only
docs-onlyNo runtime validationNone neededState that no executable artifact was generated
Offline environment (no web/docs access)Continue with local references and templatesSkip external doc lookups; prefer builtin-module implementations; provide notes for later external verificationState offline constraint and impacted checks/lookups

Resource Generation Guidance

Playbooks

  • Use assets/templates/playbook/basic_playbook.yml as structure.
  • Include: header comments, pre_tasks/tasks/post_tasks as needed, handlers, tags.
  • Add health checks when service deployment/configuration is involved.

Roles

  • Build from assets/templates/role/ structure.
  • Keep defaults in defaults/main.yml; keep higher-priority role vars in vars/main.yml.
  • Include OS-specific vars (vars/Debian.yml, vars/RedHat.yml) when relevant.
  • Add meta/argument_specs.yml for variable validation.
  • Include molecule/default/ scaffold (from assets/templates/role/molecule/) for production-ready roles.

Task Files

  • Keep scope narrow and reusable.
  • Document required input variables in comments.
  • Use conditionals for environment/OS-sensitive operations.

Inventory

  • Build logical host groups and optional group hierarchies.
  • Use variable layering intentionally: group_vars/all.yml -> group -> host.
  • Default to INI format (hosts) for simple topologies; use YAML format (hosts.yml) when the user requests it or when the hierarchy is complex.

Project Configuration

  • Provide baseline ansible.cfg, requirements.yml, and .ansible-lint.
  • Keep defaults practical and editable.

Custom Modules and Collections

When the request depends on non-builtin modules/collections:

  1. Identify collection + module and required version sensitivity.
  2. Check local references/module-patterns.md first.
  3. If still unresolved and network/tools are available, query Context7:
    • mcp__context7__resolve-library-id
    • mcp__context7__query-docs
  4. If Context7 is unavailable, use official Ansible docs / Ansible Galaxy pages.
  5. If external lookup is unavailable, provide a builtin fallback approach and state the limitation.

Always include collection installation guidance when collection modules are used.

Canonical Example Flows

Flow A: Full Generation (Playbook)

User prompt: "Create a playbook to deploy nginx with TLS on Ubuntu and RHEL."

  1. Classify as full-generation.
  2. Gather/confirm required inputs (hosts, cert paths, become, service name).
  3. Extract required references (best-practices.md, module-patterns.md) and playbook template.
  4. Generate complete playbook with OS conditionals (apt/dnf), handlers, validation for config templates.
  5. Run ansible-validator.
  6. Fix issues and rerun until checks pass (or apply matrix fallback if tooling unavailable).
  7. Present output with validation summary, usage command, and prerequisites.

Flow B: Quick Snippet (Task Block)

User prompt: "Give me a snippet to create a user and SSH key."

  1. Classify as snippet-only.
  2. Extract minimal module patterns for ansible.builtin.user and ansible.builtin.authorized_key.
  3. Generate concise snippet with FQCN, idempotency, and variable placeholders.
  4. Perform inline sanity checks (YAML shape, FQCN, obvious idempotency/security).
  5. Present snippet and note that full validator run was skipped due to snippet-only mode.

Output Requirements

For generated executable artifacts, use this response structure:

markdown
## Generated [Resource Type]: [Name]

**Validation Status:** [Passed / Partially validated / Skipped with reason]
- YAML syntax: [status]
- Ansible syntax: [status]
- Lint: [status]

**Summary:**
- [What was generated]
- [Key implementation choices]

**Assumptions:**
- [Defaults or inferred values]

**Usage:**
```bash
[Exact command(s)]

Prerequisites:

  • [Collections, binaries, environment needs]

## Done Criteria

This skill execution is complete only when all applicable items are true:

- Trigger decision is explicit (`full-generation`, `snippet-only`, or `docs-only`).
- Required references/templates were consulted for the selected artifact type.
- Generated output has no unresolved placeholders.
- Validation followed default behavior or a documented exception from the matrix.
- Any skipped checks include a concrete reason and deferred command(s).
- Final output includes summary, assumptions, usage, and prerequisites.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ansible Generator AI skill do?

Generate, create, or scaffold Ansible playbooks, roles, tasks, handlers, inventory, vars.

Why use Ansible Generator on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/akin-ozer/cc-devops-skills/tree/main/devops-skills-plugin/skills/ansible-generator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ansible Generator?

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 Generator?

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

Is the Ansible Generator AI skill free?

Yes. It is published on GitHub by akin-ozer 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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