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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.

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含まれるファイル(3)

  • SKILL.md3.9 KB
  • agents/openai.yaml343 B
  • references/hashicorp-provider-docs.md5.4 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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:
go generate ./...
  • Otherwise run the generator directly:
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.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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