query — for Claude Code llm-wiki-template, community, for Claude Code, ide skills, log.md, $ARGUMENTS, save <suggested-title>, Answer, questions, searching

v1.0.0
GitHub

이 스킬 정보

적합한 상황: Ideal for AI agents that need answer questions by searching and synthesizing wiki content. 현지화된 요약: Reusable template for building LLM-maintained personal knowledge bases # Query Answer questions by searching and synthesizing wiki content. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

기능

Answer questions by searching and synthesizing wiki content.
Manual-only : this skill runs only when the user explicitly invokes
/query (or asks Cursor/Windsurf to "query the wiki about X"). Regular
conversational questions during chat do NOT auto-trigger this workflow —
that would pollute log.md with a log entry per casual question.

# 핵심 주제

for Claude Code log.md $ARGUMENTS save <suggested-title> Answer questions
sheginabo sheginabo
[1]
[0]
업데이트: 4/16/2026

Skill Overview

Start with fit, limitations, and setup before diving into the repository.

적합한 상황: Ideal for AI agents that need answer questions by searching and synthesizing wiki content. 현지화된 요약: Reusable template for building LLM-maintained personal knowledge bases # Query Answer questions by searching and synthesizing wiki content. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

이 스킬을 사용하는 이유

추천 설명: query helps agents answer questions by searching and synthesizing wiki content. Reusable template for building LLM-maintained personal knowledge bases # Query Answer questions by searching and synthesizing wiki

최적의 용도

적합한 상황: Ideal for AI agents that need answer questions by searching and synthesizing wiki content.

↓ 실행 가능한 사용 사례 for query

사용 사례: Applying Answer questions by searching and synthesizing wiki content
사용 사례: Applying Manual-only : this skill runs only when the user explicitly invokes
사용 사례: Applying /query (or asks Cursor/Windsurf to "query the wiki about X"). Regular

! 보안 및 제한 사항

  • 제한 사항: Manual-only : this skill runs only when the user explicitly invokes
  • 제한 사항: conversational questions during chat do NOT auto-trigger this workflow —
  • 제한 사항: Requires repository-specific context from the skill documentation

About The Source

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Labs 데모

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 및 설치 단계

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

? 자주 묻는 질문

query은 무엇인가요?

적합한 상황: Ideal for AI agents that need answer questions by searching and synthesizing wiki content. 현지화된 요약: Reusable template for building LLM-maintained personal knowledge bases # Query Answer questions by searching and synthesizing wiki content. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

query은 어떻게 설치하나요?

다음 명령을 실행하세요: npx killer-skills add sheginabo/llm-wiki-template. Cursor, Windsurf, VS Code, Claude Code와 19개 이상의 다른 IDE에서 동작합니다.

query은 어디에 쓰이나요?

주요 활용 사례는 다음과 같습니다: 사용 사례: Applying Answer questions by searching and synthesizing wiki content, 사용 사례: Applying Manual-only : this skill runs only when the user explicitly invokes, 사용 사례: Applying /query (or asks Cursor/Windsurf to "query the wiki about X"). Regular.

query 와 호환되는 IDE는 무엇인가요?

이 스킬은 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 와 호환됩니다. 통합 설치에는 Killer-Skills CLI를 사용하세요.

query에 제한 사항이 있나요?

제한 사항: Manual-only : this skill runs only when the user explicitly invokes. 제한 사항: conversational questions during chat do NOT auto-trigger this workflow —. 제한 사항: Requires repository-specific context from the skill documentation.

↓ 이 스킬 설치 방법

  1. 1. 터미널 열기

    프로젝트 디렉터리에서 터미널 또는 명령줄을 여세요.

  2. 2. 설치 명령 실행

    npx killer-skills add sheginabo/llm-wiki-template 를 실행하세요. CLI가 IDE 또는 에이전트를 자동으로 감지하고 스킬을 설정합니다.

  3. 3. 스킬 사용 시작

    스킬이 이제 활성화되었습니다. 현재 프로젝트에서 query을 바로 사용할 수 있습니다.

! Source Notes

This page is still useful for installation and source reference. Before using it, compare the fit, limitations, and upstream repository notes above.

Upstream Repository Material

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Upstream Source

query

Install query, an AI agent skill for AI agent workflows and automation. Explore features, use cases, limitations, and setup guidance.

SKILL.md
Readonly
Upstream Repository Material
The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Upstream Source

Query

Answer questions by searching and synthesizing wiki content.

Manual-only: this skill runs only when the user explicitly invokes /query (or asks Cursor/Windsurf to "query the wiki about X"). Regular conversational questions during chat do NOT auto-trigger this workflow — that would pollute log.md with a log entry per casual question.

Workflow

  1. Read wiki/index.md to identify relevant pages. Scan page titles and summaries for relevance to $ARGUMENTS.

  2. Read the relevant pages. Follow [[wikilinks]] to gather additional context if needed. Read wiki/overview.md for big-picture framing.

  3. Synthesize an answer:

    • Cite wiki pages using [[page-name]] links
    • Note confidence level: is this well-supported by multiple sources, or based on a single source?
    • Flag if the wiki has gaps — important aspects the user might want to investigate further
    • If sources disagree, present the different perspectives

  4. Suggest saving if the answer is valuable (a comparison, synthesis, or novel connection). Tell the user: "This might be worth saving to the wiki. Use /save <suggested-title> to keep it."

  5. Append to wiki/log.md:

    ## [YYYY-MM-DD] query | <short question summary>
Answer based on: [[page1]], [[page2]], ...

Answer formats

Match the format to the question:

  • Factual lookup → concise answer with citation
  • Comparison → markdown table
  • How/why → structured explanation with headers
  • Timeline → chronological list
  • Open-ended → synthesis with multiple perspectives

When the wiki can't answer

If the wiki doesn't contain enough information:

  1. Say so explicitly
  2. Suggest what sources might fill the gap
  3. Offer to search with available tools if applicable

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