OpenAI Automation
Automate OpenAI API operations -- generate responses with multimodal and structured output support, create embeddings, generate images, and list models via the Composio MCP integration.
npx skills add composio-community/awesome-codex-skills --skill openai-automation --agent codex
Same command for any agent — swap --agent for claude-code, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# OpenAI Automation Automate your OpenAI API workflows -- generate text with the Responses API (including multimodal image+text inputs and structured JSON outputs), create embeddings for search and clustering, generate images with DALL-E and GPT Image models, and list available models. **Toolkit docs:** [composio.dev/toolkits/openai](https://composio.dev/toolkits/openai) --- ## Setup 1. Add the Composio MCP server to your client: `https://rube.app/mcp` 2. Connect your OpenAI account when prompted (API key authentication) 3. Start using the workflows below --- ## Core Workflows ### 1. Generate a Response (Text, Multimodal, Structured) Use `OPENAI_CREATE_RESPONSE` for one-shot model responses including text, image analysis, OCR, and structured JSON outputs. ``` Tool: OPENAI_CREATE_RESPONSE Inputs: - model: string (required) -- e.g., "gpt-5", "gpt-4o", "o3-mini" - input: string | array (required) Simple: "Explain quantum computing" Multimodal: [ { role: "user", content: [ { type: "input_text", text: "What is in this image?" }, { type: "input_image", image_url: { url: "https://..." } } ]} ] - temperature: number (0-2, optional -- not supported with reasoning models) - max_output_tokens
- Setup
- Core Workflows
- 1. Generate a Response (Text, Multimodal, Structured)
- 2. Create Embeddings
- 3. Generate Images
- 4. List Available Models
- Known Pitfalls
- Quick Reference
What does the OpenAI Automation skill do?
Automate OpenAI API operations -- generate responses with multimodal and structured output support, create embeddings, generate images, and list models via the Composio MCP integration.
How do I install it?
Run `npx skills add composio-community/awesome-codex-skills --skill openai-automation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From composio-community/awesome-codex-skills, a repository with 15,591 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.