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Provider Docs

Organization
hashicorp
provider-docs

Create, update, and review Terraform provider documentation for Terraform Registry using HashiCorp-recommended patterns, tfplugindocs templates, and schema descriptions. Use when adding or changing provider configuration, resources, data sources, ephemeral resources, list resources, functions, actions, or guides; when validating generated docs; and when troubleshooting missing or incorrect Registry documentation.

Overview

Publisherhashicorp
Repositoryagent-skills
Skill nameprovider-docs
Stars
880
Forks
130
Bundled files
2
LicenseMPL-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.

  • 2 bundled files

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

  • Open source

    Published by hashicorp on GitHub. Read the source before you install it.

Installation

Install the Provider Docs 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/hashicorp/agent-skills/tree/main/plugins/terraform/skills/provider-docs
  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/hashicorp/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/plugins/terraform/skills/provider-docs .claude/skills/provider-docs
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Provider Docs 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 Provider Docs 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 Provider Docs 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.

Terraform Provider Docs

Follow This Workflow

  1. Confirm scope and documentation targets.
  • Map code changes to the exact doc targets: provider index, resources, data sources, ephemeral resources, list resources, functions, actions, or guides.
  • Decide whether content should come from schema descriptions, templates, or both.
  1. Write schema descriptions first.
  • Add precise user-facing descriptions to schema fields so generated docs stay aligned with behavior.
  • Keep wording specific to argument purpose, constraints, defaults, and computed behavior.
  1. Add or update template files in docs/.
  • Create only files that map to implemented provider objects.
  • Use HashiCorp-recommended template paths:
    • docs/index.md.tmpl
    • docs/data-sources/<name>.md.tmpl
    • docs/resources/<name>.md.tmpl
    • docs/ephemeral-resources/<name>.md.tmpl
    • docs/list-resources/<name>.md.tmpl
    • docs/functions/<name>.md.tmpl
    • docs/actions/<name>.md.tmpl (tfplugindocs generates action docs with Terraform v1.14.0+)
    • docs/guides/<name>.md.tmpl
  • Keep templates focused on overview and examples; rely on generated sections for field-by-field details.
  • Keep HCL examples in the examples/ directory — one example per file, pulled into templates with tffile — rather than inlined in templates (see Example File Conventions in references/hashicorp-provider-docs.md). Examples must not contain terraform, provider, or output blocks.
  • For action pages, follow the structure in references/hashicorp-provider-docs.md (Action Pages section): examples must show both the action block and the action_trigger lifecycle wiring, and actions get no attribute/output section.
  1. Generate documentation with tfplugindocs.
  • Prefer repository defaults when configured:
bash
go generate ./...
  • Otherwise run the generator directly:
bash
go run github.com/hashicorp/terraform-plugin-docs/cmd/tfplugindocs generate --provider-name <provider_name>
  • Re-run generation after every schema or template edit.
  1. Validate the generated markdown.
  • Verify files in docs/ match the current provider implementation.
  • Verify examples are valid HCL and reflect current argument/attribute names.
  • Verify required/optional/computed semantics in docs match schema behavior.
  1. Apply Registry publication rules before release.
  • Use semantic version tags prefixed with v (for example v1.2.3).
  • Create release tags from the default branch.
  • Keep terraform-registry-manifest.json in the repository root.
  • Expect docs to be versioned in Registry and switchable with the version selector.
  1. Preview or troubleshoot publication when needed.
  • Use the HashiCorp preview process to inspect rendered docs before release when accuracy risk is high.
  • If docs are missing in Registry, check tag format, tag source branch, manifest file presence, and provider publication status.

Enforce Quality Bar

  • Keep documentation behaviorally accurate; never describe unsupported arguments or attributes.
  • Keep examples minimal, realistic, and runnable.
  • Keep terminology and naming consistent across provider, resources, and data sources.
  • Avoid duplicating generated argument/attribute blocks in manual templates.
  • Keep doc changes tied to the same PR as schema/API changes whenever possible.

Load References On Demand

  • Read references/hashicorp-provider-docs.md for source-backed rules and official links.
  • Load only the sections needed for the current change to keep context lean.

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 Provider Docs AI skill do?

Create, update, and review Terraform provider documentation for Terraform Registry using HashiCorp-recommended patterns, tfplugindocs templates, and schema descriptions. Use when adding or changing provider configuration, resources, data sources, ephemeral resources, list resources, functions, actions, or guides; when validating generated docs; and when troubleshooting missing or incorrect Registry documentation.

Why use Provider Docs on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hashicorp/agent-skills/tree/main/plugins/terraform/skills/provider-docs. 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 Provider Docs?

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 Provider Docs?

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

Is the Provider Docs AI skill free?

Yes. It is published on GitHub by hashicorp under the MPL-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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