Web Search Researcher
ListedHelps with web development, search as part of developing backend services and APIs workflows.
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web-search-researcher. d-o-hub/rust-self-learning-memory has no skill named "web-search-researcher" any more. It was renamed, moved or deleted upstream.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-11-01. We don't show a command we know will fail.
What we know about this skill
Publisher
d-o-hub
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
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About this skill
What it does
The web-search-researcher skill allows AI agents to perform web searches and synthesize information from multiple sources. It can gather data, summarize findings, and extract specific details based on provided queries. This capability enables the agent to access and process real-time information for a wide range of tasks.
When to use it
- Market Research: Gather competitive intelligence by searching for pricing, features, and customer reviews of similar products.
- Fact Verification: Quickly check claims or statements against multiple online sources to ensure accuracy.
- Current Events Briefing: Stay up-to-date on breaking news and developments by automatically searching relevant keywords.
- Background Research: Compile information for reports, presentations, or decision-making processes by aggregating data from various websites.
Key capabilities
- Web search functionality
- Information synthesis from multiple sources
- Data gathering
- Summarization of findings
- Extraction of specific details
Example prompts
- "Find the latest news on electric vehicle battery technology."
- "Compare the pricing and features of the top three project management software solutions."
- "What are the current regulations regarding drone usage in national parks?"
Tips & gotchas
The skill's effectiveness depends on clear and specific search queries. Broad or ambiguous prompts may return irrelevant results, requiring refinement for optimal performance.