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

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Об этом навыке

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

Возможности

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

for Claude Code agentops langgraph langgraph-js llmops typescript
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

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

Зачем использовать этот навык

Рекомендация: 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.

Подходит лучше всего

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

↓ Реализуемые кейсы использования for research

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

! Безопасность и ограничения

  • Ограничение: Requires repository-specific context from the skill documentation
  • Ограничение: 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.

Install Path

Start With Installation And Validation

If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Trusted Recheck

Cross-Check Against Trusted Picks

If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Workflow

Move To Workflow Collections For Team Rollout

When the goal shifts from a single skill to team workflows, approvals, and repeatable execution, move into workflow collections.
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?

Подходящий сценарий: Ideal for AI agents that need research the following topic and produce a structured report:. Локализованное описание: 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: Сценарий использования: Applying Research the following topic and produce a structured report:, Сценарий использования: Applying Search for authoritative sources : Use WebSearch to find official documentation, GitHub repos, and, Сценарий использования: 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?

Ограничение: Requires repository-specific context from the skill documentation. Ограничение: 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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