Official agent skill

Docs Sync

by openai in openai/openai-agents-python

Audit or update English SDK documentation against the requested implementation scope.

OfficialMITAuto-check passedDevelopment

Install Docs Sync

skills CLI
$ npx skills add openai/openai-agents-python --skill docs-sync -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install openai/openai-agents-python docs-sync --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/openai/openai-agents-python.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/docs-sync .claude/skills/docs-sync && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
docs-sync
GitHub stars
30k
Token cost
~1.3k tokens
SKILL.md length
652 words
Files
3 (incl. references)
Skills in repo
14
Repo updated
First seen
Licence
MIT

At a glance

Audit or update English SDK documentation against the requested implementation scope.

  • Works in 7 steps: Confirm scope and base branch → Build a feature inventory from the… → Doc-first pass: review existing pages → …
  • Development work in your project
  • SKILL.md covers Overview, Authorization and scope, Workflow and Output format, plus 1 more section
  • Calls rg, git and make

What it does

Docs Sync is an agent skill from openai/openai-agents-python, published by the product's own GitHub organization. Audit or update English SDK documentation against the requested implementation scope.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/doc-coverage-checklist.md`).

It sits in Development. It works with OpenAI. The repository describes itself as: A lightweight, powerful framework for multi-agent workflows. The licence is MIT.

When your agent uses it

  • Development work in your project

Example prompts

  • “/docs-sync”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Confirm scope and base branch
  2. Build a feature inventory from the selected scope
  3. Doc-first pass: review existing pages
  4. Code-first pass: map features to docs
  5. Detect gaps and inaccuracies
  6. Report findings or continue authorized updates
  7. Apply authorized changes (English only)

What it can do on your machine

Read from SKILL.md and the folder at commit 71c2da4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • rg
    • git
    • make

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Docs Sync loads about 1.3k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 24 tokens; SKILL.md has 652 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from openai/openai-agents-python at commit 71c2da4, republished under its MIT licence (© openai). 652 words, ~1,260 tokens.

Download SKILL.mdSave it as .claude/skills/docs-sync/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
docs-sync
description
Audit or update English SDK documentation against the requested implementation scope.

Docs Sync

Overview

Identify doc coverage gaps and inaccuracies by comparing main branch features and configuration options against the current docs structure, then propose targeted improvements.

Authorization and scope

For an audit or proposal-only request, report findings without editing. When the user requests updates or has already approved a plan, complete those local edits and applicable checks without asking again. Ask only about unresolved scope, behavior, release timing, or additional authority. Keep generated translations untouched. Apply the repository's Documentation Release Timing policy before including unreleased behavior in docs/.

Workflow

  1. Confirm scope and base branch

    • Identify the current branch and default branch (usually main).
    • Prefer analyzing the current branch to keep work aligned with in-flight changes.
    • Use a branch diff only for a branch-scoped request. A requested topic or released-doc correction remains in scope even when it is unrelated to the current branch diff.
    • Avoid switching branches if it would disrupt local changes. Prefer read-only inspection such as git show main:<path>. If a separate checkout is genuinely required, stop and obtain the explicit approval required by AGENTS.md before creating or switching a worktree.
  2. Build a feature inventory from the selected scope

    • Bound the inventory to the requested topic or diff. Inventory the full surface only for an explicitly comprehensive audit.
    • For branch-scoped work, inspect feature additions, changes, and removals relative to the intended base.
    • Focus on user-facing behavior: public exports, configuration options, environment variables, CLI commands, default values, and documented runtime behaviors.
    • Capture evidence for each item (file path + symbol/setting).
    • Use targeted search to find option types and feature flags (for example: rg "Settings", rg "Config", rg "os.environ", rg "OPENAI_").
    • When the topic involves OpenAI platform features, invoke $openai-knowledge to pull current details from the OpenAI Developer Docs MCP server instead of guessing, while treating the SDK source code as the source of truth when discrepancies appear.
  3. Doc-first pass: review existing pages

    • Walk each relevant page under docs/ (excluding docs/ja, docs/ko, and docs/zh).
    • Identify missing mentions of important, supported options (opt-in flags, env vars), customization points, or new features from src/agents/ and examples/.
    • Propose additions where users would reasonably expect to find them on that page.
  4. Code-first pass: map features to docs

    • Review the current docs information architecture under docs/ and mkdocs.yml.
    • Determine the best page/section for each feature based on existing patterns and the API reference structure under docs/ref.
    • Identify features that lack any doc page or have a page but no corresponding content.
    • Note when a structural adjustment would improve discoverability.
    • When improving docs/ref/* pages, treat the corresponding docstrings/comments in src/ as the source of truth. Prefer updating those code comments so regenerated reference docs stay correct, instead of hand-editing the generated pages.
  5. Detect gaps and inaccuracies

    • Missing: features/configs present in main but absent in docs.
    • Incorrect/outdated: names, defaults, or behaviors that diverge from main.
    • Structural issues (optional): pages overloaded, missing overviews, or mis-grouped topics.
  6. Report findings or continue authorized updates

    • For audit-only work, provide evidence, suggested locations, and proposed edits, then stop.
    • For an update request, use the findings to complete the authorized edits.
  7. Apply authorized changes (English only)

    • Edit only English docs in docs/**.
    • Do not edit docs/ja, docs/ko, or docs/zh.
    • Keep changes aligned with the existing docs style and navigation.
    • Update mkdocs.yml when adding or renaming pages.
    • Classify the complete diff with the Documentation Verification Tiers in AGENTS.md and run only the checks required by that tier.
    • For content or structural changes, run make build-docs once after the edits and required review are stable. Do not run it for editorial-only changes.
Show full SKILL.md (60 more words)Show less

Output format

Use this template when reporting findings:

Docs Sync Report

  • Doc-first findings
    • Page + missing content -> evidence + suggested insertion point
  • Code-first gaps
    • Feature + evidence -> suggested doc page/section (or missing page)
  • Incorrect or outdated docs
    • Doc file + issue + correct info + evidence
  • Structural suggestions (optional)
    • Proposed change + rationale
  • Proposed edits
    • Doc file -> concise change summary
  • Unresolved decisions, only when needed

References

  • references/doc-coverage-checklist.md

© openai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in .agents/skills/docs-sync of openai/openai-agents-python.

  • SKILL.md
  • agents/openai.yaml
  • references/doc-coverage-checklist.md

Open the folder on GitHubat commit 71c2da4

Compare with similar skills

Docs Sync next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Docs Sync compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Docs Sync this skillopenai/openai-agents-python30k—~1.3kAutomated safety check: PassMIT
PR Design DocOpenHands/OpenHands90k—~2.4kAutomated safety check: PassMIT
Get API Docs with chubandrewyng/context-hub14k2 repos~775Automated safety check: PassMIT
Open Code Review CLIalibaba/open-code-review44k—~3.1kAutomated safety check: PassApache-2.0
Codexskills-directory/skill-codex1.5k3 repos~1.8kAutomated safety check: PassMIT
Changeset Validationopenai/openai-agents-js3.9k—~607Automated safety check: PassMIT

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Works with

Categories

Questions about Docs Sync

What does Docs Sync do?

Audit or update English SDK documentation against the requested implementation scope. Docs Sync is an agent skill from openai/openai-agents-python, published by the product's own GitHub organization. Audit or update English SDK documentation against the requested implementation scope.

When should I use Docs Sync?

Docs Sync fits situations like: development work in your project.

How do I install Docs Sync in Claude Code?

Run `npx skills add openai/openai-agents-python --skill docs-sync -a claude-code`. Or copy the skill folder (.agents/skills/docs-sync in openai/openai-agents-python) into .claude/skills/docs-sync in your project. Claude Code loads it when a task matches its description.

How do I install Docs Sync in Codex?

Run `npx skills add openai/openai-agents-python --skill docs-sync -a codex`. Or copy the skill folder (.agents/skills/docs-sync in openai/openai-agents-python) into .agents/skills/docs-sync in your project. Codex loads it when a task matches its description.

Can I use Docs Sync in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add openai/openai-agents-python --skill docs-sync -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/docs-sync, .gemini/skills/docs-sync, .github/skills/docs-sync and .opencode/skills/docs-sync in your project.

What does Docs Sync need to run?

Going by SKILL.md and its folder, Docs Sync needs the command-line tools its instructions call (rg, git and make).

Does Docs Sync access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Docs Sync safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Docs Sync use?

Docs Sync is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Docs Sync use?

About 1.3k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 700 tokens, read only when the agent opens those files.

What are the alternatives to Docs Sync?

Skills that share tags, products or a category with Docs Sync: PR Design Doc (OpenHands/OpenHands, 90k stars), Get API Docs with chub (andrewyng/context-hub, 14k stars), Open Code Review CLI (alibaba/open-code-review, 44k stars) and Codex (skills-directory/skill-codex, 1.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Docs Sync?

openai (a GitHub organization, an official publisher) maintains it in openai/openai-agents-python, which has 29,873 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 7, 2026.

Source: openai/openai-agents-python on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.