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research Skill

AI Agent SkillJavaScriptOpen source

Run fast, source-grounded UX research on the highest-signal problems users are experiencing with a user-specified digital product. Use when the user asks to research user pain, UX friction, onboarding issues, docs/help problems, developer experience friction, support pain, product workflow issues, or current user compl Published by openai in role-specific-plugins.

What is research Skill?

Run fast, source-grounded UX research on the highest-signal problems users are experiencing with a user-specified digital product. Use when the user asks to research user pain, UX friction, onboarding issues, docs/help problems, developer experience friction, support pain, product workflow issues, or current user compl Published by openai in role-specific-plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
65/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Browser automation
  • Documentation
  • Design and media
  • Research
  • Browser automation use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use research Skill

  • Use it for browser automation.
  • Use it for documentation.
  • Use it for design and media.
  • Use it for research.

Built with

JavaScriptCopy skill directory

Editorial notes

Source

  • Creator: openai
  • Repository: openai/role-specific-plugins
  • Skill file: plugins/product-design/skills/research/SKILL.md

What it does

Run fast, source-grounded UX research on the highest-signal problems users are experiencing with a user-specified digital product. Use when the user asks to research user pain, UX friction, onboarding issues, docs/help problems, developer experience friction, support pain, product workflow issues, or current user compl

Skill instructions

Research Run a fresh UX research scan for the product the user specifies. Focus on current, evidence-backed user problems. Prioritize logged-in product experience, self-serve flows, onboarding, docs/help, developer experience, support friction, and product workflows. Critical Overrides - Refer to the Plugin router $index before proceeding. - Follow $critical-overrides. User Context Before starting, load $user-context and run its preflight script when local shell access is available. Use saved product URLs, Figma files, screenshots, reference images, codebase paths, Storybook, tokens, design systems, brand assets, component refs, browser preferences, and share targets as grounding material when relevant. Do not inspect every saved reference. Inspect only what the current task needs. Contract - Restate the product, audience, time horizon, and research scope before scanning. - Use public sources by default. Use internal sources when the connectors are available and the user request allows

Explore related resources

Frequently asked questions

What is research?

research is a open-source AI agent skill with Copy skill directory. Run fast, source-grounded UX research on the highest-signal problems users are experiencing with a user-specified digital product.

Who is research best for?

research is best for reusing agent instructions, scripts, and references, browser automation workflows, documentation workflows, design and media workflows.

How do I install research?

Install or run research using Copy skill directory. Check research for the latest setup command.

Is research actively maintained?

research may need a closer maintenance check before production use.

Share:

Stars
432
Forks
66
Last commit
9 days ago
Repository age
2 months
License
MIT

Auto-fetched from GitHub.

Similar to research

research: Install, Config & GitHub Signals – SkillIndex