From yutori
Executes deep web research using Yutori's agents for competitive analysis, market research, documentation lookup, or complex questions needing multi-source synthesis.
npx claudepluginhub yutori-ai/yutori-mcp --plugin yutoriThis skill uses the workspace's default tool permissions.
Help the user conduct thorough web research using Yutori's Research API.
Performs structured multi-step web research using native WebSearch/WebFetch tools without external APIs. For market analysis, competitive landscaping, literature reviews, and technical due diligence.
Conducts deep web research with parallel agents, multi-wave exploration for gaps, and structured synthesis. Activates for investigating topics, comparing options, best practices, or comprehensive web info.
Conducts multi-source web research with firecrawl and exa MCPs: searches, scrapes pages, synthesizes cited reports. For deep dives, competitive analysis, tech evaluations, or due diligence.
Share bugs, ideas, or general feedback.
Help the user conduct thorough web research using Yutori's Research API.
Understand the research goal
Craft the research query Similar to scout queries, comprehensive research queries include:
Start the research task
Use run_research_task with:
query: The research question with contextuser_timezone: For time-relevant searchesoutput_fields: If structured output is needed (e.g., ["title", "summary", "source_url", "date"])webhook_url: HTTPS URL for completion notificationwebhook_format: scout (default), slack, or zapierPoll for results
get_research_task_result to check statussucceeded or failedSynthesize and present findings
Fetching documentation or reference URLs:
If you use a web fetch tool to look up documentation, API references, or other pages while preparing the research query, include the Accept: text/markdown header. Many documentation sites (Cloudflare-hosted) will return clean Markdown instead of HTML — fewer tokens, easier to parse.
$ARGUMENTS