research — for Claude Code research, llmops-demo-ts, community, for Claude Code, ide skills, agentops, langgraph, langgraph-js, llmops, typescript

v1.0.0

이 스킬 정보

적합한 상황: Ideal for AI agents that need research the following topic and produce a structured report:. 현지화된 요약: research helps AI agents handle repository-specific developer workflows with documented implementation details. It covers agent, agentops, langgraph workflows.

기능

Research the following topic and produce a structured report:
Search for authoritative sources : Use WebSearch to find official documentation, GitHub repos, and
Read and verify : Use WebFetch to read documentation pages, cross-reference multiple sources
Check local context : Use Grep and Read to understand how the topic relates to the current codebase
Produce a structured report with findings, sources, and actionable recommendations

# Core Topics

yu-iskw yu-iskw
[6]
[4]
Updated: 4/6/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 10/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
10/11
Quality Score
64
Canonical Locale
en
Detected Body Locale
en

적합한 상황: Ideal for AI agents that need research the following topic and produce a structured report:. 현지화된 요약: research helps AI agents handle repository-specific developer workflows with documented implementation details. It covers agent, agentops, langgraph workflows.

이 스킬을 사용하는 이유

추천 설명: research helps agents research the following topic and produce a structured report:. research helps AI agents handle repository-specific developer workflows with documented implementation details.

최적의 용도

적합한 상황: Ideal for AI agents that need research the following topic and produce a structured report:.

실행 가능한 사용 사례 for research

사용 사례: Applying Research the following topic and produce a structured report:
사용 사례: Applying Search for authoritative sources : Use WebSearch to find official documentation, GitHub repos, and
사용 사례: Applying Read and verify : Use WebFetch to read documentation pages, cross-reference multiple sources

! 보안 및 제한 사항

  • 제한 사항: Requires repository-specific context from the skill documentation
  • 제한 사항: Works best when the underlying tools and dependencies are already configured

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is research?

적합한 상황: Ideal for AI agents that need research the following topic and produce a structured report:. 현지화된 요약: research helps AI agents handle repository-specific developer workflows with documented implementation details. It covers agent, agentops, langgraph workflows.

How do I install research?

Run the command: npx killer-skills add yu-iskw/llmops-demo-ts/research. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for research?

Key use cases include: 사용 사례: Applying Research the following topic and produce a structured report:, 사용 사례: Applying Search for authoritative sources : Use WebSearch to find official documentation, GitHub repos, and, 사용 사례: Applying Read and verify : Use WebFetch to read documentation pages, cross-reference multiple sources.

Which IDEs are compatible with research?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for research?

제한 사항: Requires repository-specific context from the skill documentation. 제한 사항: Works best when the underlying tools and dependencies are already configured.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add yu-iskw/llmops-demo-ts/research. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use research immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

research

Install research, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Research

Research the following topic and produce a structured report:

$ARGUMENTS

Instructions

  1. Search for authoritative sources: Use WebSearch to find official documentation, GitHub repos, and specifications
  2. Read and verify: Use WebFetch to read documentation pages, cross-reference multiple sources
  3. Check local context: Use Grep and Read to understand how the topic relates to the current codebase
  4. Produce a structured report with findings, sources, and actionable recommendations

Output Format

text
1## Research Report: [Topic] 2 3### Summary 4[2-3 sentence overview] 5 6### Key Findings 71. **[Finding]** 8 - Detail: [What was learned] 9 - Source: [URL] 10 - Relevance: [How this applies to our project] 11 12### Recommendations 13- [Actionable items based on findings] 14 15### Sources 16- [URL]: [Description]

Rules

  • Always include source URLs for every claim
  • Prefer official documentation over blog posts
  • Check that documentation matches the library versions in our project
  • Note any uncertainties or conflicting information
  • Focus on what's relevant — skip tangential details

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