How do I install the Yutori Research skill?

Run npx skillmds@latest add tomevault-io/yutori-research in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Yutori Research safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Yutori Research?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Yutori Research free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Yutori Research?

tomevault-io (@tomevault-io) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Yutori Research by tomevault-io — Agent Skill

Name: Yutori Research
Author: tomevault-io

Yutori Research

Execute deep web research on any topic using Yutori's research agents. Use for competitive analysis, market research, finding documentation, or answering complex questions that require synthesizing information from multiple sources. Use when this capability is needed.

tomevault-io Updated Sep 17, 2026

File contents

Deep Web Research

Help the user conduct thorough web research using Yutori's Research API.

Process

Understand the research goal
- What question needs answering?
- What type of sources matter? (news, academic, documentation, social, financial filings)
- Any time constraints? (recent only, historical)
- What format should the output be in?
Craft the research query Similar to scout queries, comprehensive research queries include:
- Context on why this research matters
- Specific questions to answer
- Sources to prioritize
- Output format expectations
Start the research task Use run_research_task with:
- query: The research question with context
- user_timezone: For time-relevant searches
- browser: "local": When the research needs a logged-in desktop browser session through Yutori Local
- output_fields: If structured output is needed (e.g., ["title", "summary", "source_url", "date"])
- webhook_url: HTTPS URL for completion notification
- webhook_format: scout (default), slack, or zapier
Poll for results
- Important: Research typically takes 5-10 minutes (300-600 seconds)
- Use get_research_task_result to check status
- Poll every 30 seconds until succeeded or failed
- The task runs asynchronously - you can inform the user to wait
Synthesize and present findings
- Organize results by relevance
- Highlight key insights
- Note sources for verification

Tips

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

Converted and distributed by TomeVault — claim your Tome and manage your conversions.

---name: yutori-researchdescription: Execute deep web research on any topic using Yutori's research agents. Use for competitive analysis, market research, finding documentation, or answering complex questions that require synthesizing information from multiple sources. Use when this capability is needed.---# Deep Web ResearchHelp the user conduct thorough web research using Yutori's Research API.## Process1. **Understand the research goal** - What question needs answering? - What type of sources matter? (news, academic, documentation, social, financial filings) - Any time constraints? (recent only, historical) - What format should the output be in?2. **Craft the research query** Similar to scout queries, comprehensive research queries include: - Context on why this research matters - Specific questions to answer - Sources to prioritize - Output format expectations3. **Start the research task** Use `run_research_task` with: - `query`: The research question with context - `user_timezone`: For time-relevant searches - `browser: "local"`: When the research needs a logged-in desktop browser session through Yutori Local - `output_fields`: If structured output is needed (e.g., ["title", "summary", "source_url", "date"]) - `webhook_url`: HTTPS URL for completion notification - `webhook_format`: `scout` (default), `slack`, or `zapier`4. **Poll for results** - **Important:** Research typically takes 5-10 minutes (300-600 seconds) - Use `get_research_task_result` to check status - Poll every 30 seconds until `succeeded` or `failed` - The task runs asynchronously - you can inform the user to wait5. **Synthesize and present findings** - Organize results by relevance - Highlight key insights - Note sources for verification## Tips**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---> Converted and distributed by [TomeVault](https://tomevault.io/claim/yutori-ai) — claim your Tome and manage your conversions.

Frequently asked questions