User Research
OfficialThis skill gathers user feedback to understand needs & preferences, informing design decisions and improving product development.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add anthropics/knowledge-work-plugins --skill user-research -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
anthropics
Matched to the vendor's own GitHub organisation.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned anthropics/knowledge-work-plugins at da38ec1ee8.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- da38ec1ee8
- Scanned
- 1 file, 42 lines
About this skill
The user-research skill enables AI agents to autonomously gather and synthesize information from the web, search engines, and knowledge bases to answer complex queries or support decision-making processes. It functions as a specialized tool for retrieving up-to-date data that isn't present in the agent's initial training set.
When to use it
- Investigating current market trends or competitor analysis before drafting a business strategy.
- Verifying real-time facts, statistics, or recent news events during report generation.
- Gathering specific technical documentation or API details for software development tasks.
- Compiling background information on a topic before conducting an interview or creating educational content.
Key capabilities
- Autonomous web searching and browsing to find relevant external sources.
- Synthesis of gathered data into coherent summaries or structured reports.
- Integration with various knowledge bases and search engines for comprehensive coverage.
- Context-aware retrieval tailored to the specific goals of the ongoing task.
Example prompts
- "Research the latest advancements in quantum computing from the past six months and summarize the key breakthroughs."
- "Gather information on current regulations regarding AI safety in the European Union to inform our compliance strategy."
- "Find recent case studies where companies successfully implemented remote-first work cultures and list their primary challenges."
Tips & gotchas
Ensure your agent has access to live internet connectivity, as this skill relies on real-time data retrieval rather than static internal knowledge. For best results, provide clear context about the specific domain or timeframe you need researched to narrow the search scope effectively.