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

À propos de ce Skill

Scenario recommande : Ideal for AI agents that need answer questions by searching and synthesizing wiki content. Resume localise : 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.

Fonctionnalités

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.

# Sujets clés

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

Skill Overview

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

Scenario recommande : Ideal for AI agents that need answer questions by searching and synthesizing wiki content. Resume localise : 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.

Pourquoi utiliser cette compétence

Recommandation : 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

Meilleur pour

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

↓ Cas d'utilisation exploitables for query

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

! Sécurité et Limitations

  • Limitation : Manual-only : this skill runs only when the user explicitly invokes
  • Limitation : conversational questions during chat do NOT auto-trigger this workflow —
  • Limitation : 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.

Démo Labs

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Boot Container Sandbox

FAQ et étapes d’installation

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

? Questions fréquentes

Qu’est-ce que query ?

Scenario recommande : Ideal for AI agents that need answer questions by searching and synthesizing wiki content. Resume localise : 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.

Comment installer query ?

Exécutez la commande : npx killer-skills add sheginabo/llm-wiki-template/query. Elle fonctionne avec Cursor, Windsurf, VS Code, Claude Code et plus de 19 autres IDE.

Quels sont les cas d’usage de query ?

Les principaux cas d’usage incluent : Cas d'usage : Applying Answer questions by searching and synthesizing wiki content, Cas d'usage : Applying Manual-only : this skill runs only when the user explicitly invokes, Cas d'usage : Applying /query (or asks Cursor/Windsurf to "query the wiki about X"). Regular.

Quels IDE sont compatibles avec query ?

Cette skill est compatible avec 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. Utilisez la CLI Killer-Skills pour une installation unifiée.

Y a-t-il des limites pour query ?

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

↓ Comment installer ce skill

  1. 1. Ouvrir le terminal

    Ouvrez le terminal ou la ligne de commande dans le dossier du projet.

  2. 2. Lancer la commande d’installation

    Exécutez : npx killer-skills add sheginabo/llm-wiki-template/query. La CLI détectera automatiquement votre IDE ou votre agent et configurera la skill.

  3. 3. Commencer à utiliser le skill

    Le skill est maintenant actif. Votre agent IA peut utiliser query immédiatement dans le projet.

! 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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