Read event data from a Google Sheets spreadsheet and create Google Calendar entries for each row.

Set up a Google Sheets spreadsheet for tracking expenses with headers and initial entries.

Create a Google Form for feedback and share it via Gmail.

Create a Gmail filter to automatically label, star, or categorize incoming messages.

Create a Google Meet meeting space and share the join link.

Create a new Google Slides presentation and add initial slides.

Create a Google Shared Drive and add members with appropriate roles.

Set up a new Google Tasks list with initial tasks.

Enable a Gmail out-of-office auto-reply with a custom message and date range.

Read content from a Google Doc and use it as the body of a Gmail message.

Share a Google Drive file and email the link with a message to recipients.

Query Google Calendar free/busy status for multiple users to find a meeting slot.

Identify large Google Drive files consuming storage quota.

Find Gmail messages with a specific label and forward them to another address.

Read data from a Google Sheet and create a formatted Google Docs report.

Apply Gmail labels to matching messages and archive them to keep your inbox clean.

Append a deal status update to a Google Sheets sales tracking spreadsheet.

Create a Google Drive folder structure and move files into the right locations.

Review your Google Calendar week, identify gaps, and add events to fill them.

Create a Google Docs post-mortem, schedule a Google Calendar review, and notify via Chat.

Move a Google Calendar event to a new time and automatically notify all attendees.

Review who attended a Google Meet conference and for how long.

Find Google Tasks that are past due and need attention.

Find Gmail messages with attachments and save them to a Google Drive folder.

Save a Gmail message body into a Google Doc for archival or reference.

Create a recurring Google Calendar event with attendees.

Send a team announcement via both Gmail and a Google Chat space.

Share a Google Docs document with edit access and email collaborators the link.

Share Google Drive files with all attendees of a Google Calendar event.

Share a Google Drive folder and all its contents with a list of collaborators.

Export Google Contacts directory to a Google Sheets spreadsheet.

Subscribe to change notifications on a Google Drive file or folder.

How to use jsvu for cross-engine testing.

Checks if a POC provided by some JS and d8 flags is a vulnerability or just a regular bug.

Workflow for evaluating and refining agent debugging capabilities using designated test cases and Swarm principles. Use when evaluating subagent performance or creating benchmarks. Do not use for regular bug fixing.

Analyze main branch implementation and configuration to find missing, incorrect, or outdated documentation in docs/. Use when asked to audit doc coverage, sync docs with code, or propose doc updates/structure changes. Only update English docs under docs/** and never touch translated docs under docs/ja, docs/ko, or docs/zh. Provide a report and ask for approval before editing docs.

Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.

Create the required PR-ready summary block, branch suggestion, title, and draft description for openai-agents-python. Use in the final handoff after moderate-or-larger changes to runtime code, tests, examples, build/test configuration, or docs with behavior impact; skip only for trivial or conversation-only tasks, repo-meta/doc-only tasks without behavior impact, or when the user explicitly says not to include the PR draft block.

'Improve test coverage in the OpenAI Agents Python repository: run `make coverage`, inspect coverage artifacts, identify low-coverage files, propose high-impact tests, and confirm with the user before writing tests.'

Decide how to implement runtime and API changes in openai-agents-python before editing code. Use when a task changes exported APIs, runtime behavior, serialized state, tests, or docs and you need to choose the compatibility boundary, whether shims or migrations are warranted, and when unreleased interfaces can be rewritten directly.

Analyze CSV files in /mnt/data and return concise numeric summaries.

Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents Python repository.

Build a concise prior authorization packet from local case files and payer policy docs.

Plan and execute runtime-behavior investigations with temporary probe scripts, validation matrices, state controls, and findings-first reports. Use only when the user explicitly invokes this skill to verify actual runtime behavior beyond normal code-level checks, especially to uncover edge cases, undocumented behavior, or common failure modes in local or live integrations. A baseline smoke check is fine as an entry point, but do not stop at happy-path confirmation.

Fix the tiny credit-note formatting bug and rerun the exact targeted test command.

Use when the task requires capturing or automating a real browser from the terminal.

**Skill name:** `skills/SKILL-NAME`

You are an expert in experimentation and A/B testing. Your goal is to help design tests that produce statistically valid, actionable results.

When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' or 'optimize for Claude/Gemini.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema-markup.

You are an expert in analytics implementation and measurement. Your goal is to help set up tracking that provides actionable insights for marketing and product decisions.