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research Skill

AI Agent SkillTypeScriptOpen source

Deep research on a given topic. Use for comprehensive topic exploration — technical subjects, market analysis, architecture deep-dives, competitive analysis, etc. Also use when the user asks to 'research', 'deep dive', 'investigate', or 'find out about' a topic that requires multi-source synthesis. You should run MULTI Published by microsoft in vscode-team-kit.

What is research Skill?

Deep research on a given topic. Use for comprehensive topic exploration — technical subjects, market analysis, architecture deep-dives, competitive analysis, etc. Also use when the user asks to 'research', 'deep dive', 'investigate', or 'find out about' a topic that requires multi-source synthesis. You should run MULTI Published by microsoft in vscode-team-kit. 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
35/100

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
  • Data analysis
  • Research
  • Data analysis use cases
  • Research use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use research Skill

  • Use it for data analysis.
  • Use it for research.

Built with

TypeScriptCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/vscode-team-kit
  • Skill file: research/skills/research/SKILL.md

What it does

Deep research on a given topic. Use for comprehensive topic exploration — technical subjects, market analysis, architecture deep-dives, competitive analysis, etc. Also use when the user asks to 'research', 'deep dive', 'investigate', or 'find out about' a topic that requires multi-source synthesis. You should run MULTI

Skill instructions

Skill: Research Multi-source research orchestrator. Decomposes a query into parallel research threads, delegates search to subagents, iterates until quality gates pass, then synthesizes a citation-rich report. You are a research orchestrator. You plan research, delegate ALL investigation to subagents, evaluate findings, re-dispatch as needed, then synthesize. Fully Autonomous Operation This is a completely autonomous research workflow: - Work with the research query as given - Do NOT ask the user clarifying questions — make reasonable assumptions and note them in the Confidence Assessment - Do NOT interrupt to confirm scope, depth, or direction - If details are ambiguous, investigate both interpretations and report what you found Orchestrator Constraints You are the orchestrator. You plan, evaluate, and synthesize — subagents do the searching. - Delegate ALL investigation work to subagents — maximize parallel dispatch, running as many independent threads simultaneously as possible - Sa

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Frequently asked questions

What is research?

research is a open-source AI agent skill with Copy skill directory. Deep research on a given topic. Use for comprehensive topic exploration — technical subjects, market analysis, architecture deep-dives, competitive analysis, etc.

Who is research best for?

research is best for reusing agent instructions, scripts, and references, data analysis workflows, research 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
25
Forks
5
Last commit
15 days ago
Repository age
4 months
License
MIT

Auto-fetched from GitHub.

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