openai-deep-research
Use OpenAI's Deep Research API (o3 / o4 models) to automate multi-step, citation-backed research workflows.
npx skills add majiayu000/claude-skill-registry --skill openai-deep-research-closedloop-technolog-awesome-deep-researc-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# OpenAI Deep Research Skill This skill wraps OpenAI's Deep Research API so you can launch autonomous research runs (using `o3-deep-research` or `o4-mini-deep-research`) directly from Claude Code. ## Setup 1. **Dependencies:** Install the OpenAI SDK. ```bash pip install openai python-dotenv ``` 2. **API Key Configuration:** Export your OpenAI API key. ```bash echo "OPENAI_API_KEY=sk-..." >> .env if [ -f .gitignore ] && ! grep -q ".env" .gitignore; then echo ".env" >> .gitignore; fi ``` The Deep Research endpoint requires access to the Early Access program. Ensure your account is enabled before calling the API. ## Usage Use `scripts/run_deep_research.py` to start a research job and stream the final report to stdout. ### Command ```bash python3 scripts/run_deep_research.py --prompt "<research_question>" [--model o4-mini-deep-research] [--effort medium] [--json] ``` ### Parameters * `--prompt` (Required): The investigation prompt. * `--model` (Optional): `o4-mini-deep-research` (default) or `o3-deep-research`. * `--effort` (Optional): Reasoning depth, one of `low`, `medium`, `high` (default `medium`). * `--json` (Optional): Emit the full response payload as JSON instead of just the sy
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pip install openai python-dotenv echo "OPENAI_API_KEY=sk-..." >> .env if [ -f .gitignore ] && ! grep -q ".env" .gitignore; then echo ".env" >> .gitignore; fi python3 scripts/run_deep_research.py --prompt "<research_question>" [--model o4-mini-deep-research] [--effort medium] [--json] python3 scripts/run_deep_research.py \
What does the openai-deep-research skill do?
Use OpenAI's Deep Research API (o3 / o4 models) to automate multi-step, citation-backed research workflows.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill openai-deep-research-closedloop-technolog-awesome-deep-researc-2 --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 majiayu000/claude-skill-registry, a repository with 534 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.