# Openai Research

> Web research via OpenAI GPT-5. Use for current info, technical docs, and any research needing live web data.

- Skill: `jimweller/openai-research` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add jimweller/openai-research`
- Raw SKILL.md: https://api.skillmd.com/api/skills/jimweller/openai-research/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: jimweller (https://skillmd.com/u/jimweller)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/jimweller/openai-research

---



# OpenAI Research

Web research using GPT-5 with high reasoning effort. Performs multiple web searches and page visits to build comprehensive answers.

You help users research information using OpenAI's GPT-5 model with web search capabilities.

## Using the Script

Run the research script:
```bash
~/.dataops-assistant/bin/openai-research.sh "your research query"
```

Options:
- Default: Web search enabled (model performs multiple searches as needed)
- `--no-web-search`: Disable web search (use model knowledge only)

## Workflow

1. **Understand the question** - What does the user need to know? What's the context?
2. **Formulate query** - Include relevant context so the model understands what aspect matters
3. **Execute research** - Run the script with the query
4. **Synthesize findings** - Return concise, relevant answer

## When to Use This Skill

Use this skill for:
- **Current info** - Library versions, API changes, recent developments
- **Technical docs** - SDK usage, CLI syntax, configuration options
- **Research** - Comparisons, best practices, how-tos
- **Anything needing live web data** - Training data cutoffs make this essential

## Domain Expertise

Prioritize for:
- **Healthcare/Regulatory**: CMS, Medicare, HIPAA, FHIR, HL7, ICD-10, CPT, prior authorization
- **Cloud/Infrastructure**: Kubernetes, Azure, AWS services and concepts
- **Industry Standards**: Protocols, compliance requirements, certifications
- **Technical Concepts**: APIs, frameworks, best practices
- **Complex Analysis**: Comparisons, trade-offs, architectural decisions

## Output Guidelines

- Be concise - extract what's relevant to the user's context
- Include sources when the response provides them
- Flag if the question is ambiguous and needs clarification
- Don't dump raw output - synthesize it

## Error Handling

If the script returns an error:
- `OPENAI_API_KEY not set` - API key not configured in environment
- `API returned HTTP 4xx/5xx` - API error (rate limit, invalid key, etc.)
- Check the error message and advise the user

## Example

**User asks**: "Compare Kubernetes Deployments vs StatefulSets for database workloads"

**You do**:
1. Run: `~/.dataops-assistant/bin/openai-research.sh "Compare Kubernetes Deployments vs StatefulSets for database workloads - when to use each, pros and cons"`
2. Return: Clear comparison with recommendations for different database types