OpenAI Docs Sync

OpenAI Docs Sync is an official skill from the openai/openai-agents-python repository. It helps AI agents and coding harnesses compare a Python SDK implementation and its configuration with the existing English documentation in a systematic way. The skill is designed for a narrow purpose: identify coverage gaps, inaccurate statements, and outdated documentation, then turn those findings into targeted improvement proposals. According to the provider, the work begins by confirming the requested topic and base branch before examining the relevant code surface and documentation structure.

Purpose and workflow

The process combines a code-first pass with a doc-first pass. First, the agent establishes which branch and scope apply. It then builds a feature inventory for the requested topic. The inventory covers public exports, configuration options, environment variables, command-line commands, default values, and documented runtime behavior. For every important item, the agent should retain traceable evidence consisting of a file path and symbol or setting. It then reviews the relevant English pages under docs. Translated areas under docs/ja, docs/ko, and docs/zh are explicitly left untouched.

Findings are classified as missing content, incorrect or outdated content, and optional structural issues. This makes Docs Sync more than sentence-level proofreading. It asks whether a feature is documented where users would reasonably expect it and whether the information architecture makes the material discoverable. For reference pages, source-code comments and docstrings should be treated as the authoritative basis so later generated reference documentation is not contradicted by a manual page edit.

Practical use for teams

Teams can use Docs Sync before a release, during a substantial SDK change, or as a focused documentation review. An agent can trace a new setting to its configuration class, check the intended default, and determine whether the English guide describes that behavior accurately. It can also follow a public function from implementation through examples and reference pages to the documentation navigation. The result is a report that connects concrete evidence with proposed insertion points instead of making a broad, unsupported claim that documentation is incomplete.

When the review concerns OpenAI platform features, the source points to the official OpenAI documentation tools. Retrieved material should serve as evidence, while SDK source code remains the closer authority for discrepancies within the repository-specific topic. This makes the skill useful for technical prose, API explanations, configuration guidance, and release-adjacent reviews where freshness and provenance matter more than a generic summary.

Boundaries and security

Docs Sync is neither an automatic documentation generator nor approval to modify files. For an audit or proposal-only request, the agent should report findings without editing. Changes to English documentation are appropriate only when they have been explicitly requested or an existing plan has already been approved. Before editing, the agent should also apply the documentation release-timing policy to behavior that is not yet released. It should avoid switching branches when doing so could endanger local work.

The skill contains no credentials, tokens, or project-specific secrets. A connected model or documentation tool may receive source code, configuration, or internal documentation content; the actual path depends on the selected harness, enabled tools, and organizational policy. Before confidential audits, responsible teams must review data flow, permissions, logging, and retention. According to the provider, the final report should make sources and remaining uncertainty transparent. The official repository uses Apache-2.0; recheck the license notice and source state before redistribution. Skill Road lists Docs Sync as an external OpenAI skill rather than as its own product.