query — for Claude Code labwiki, community, for Claude Code, ide skills, Answer, following, question, ARGUMENTS, Follow, defined

v1.0.0

关于此技能

适用场景: Ideal for AI agents that need answer the following question using the wiki: $arguments. 本地化技能摘要: A lightweight, LLM-maintained knowledge base for research. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

功能特性

Answer the following question using the wiki: $ARGUMENTS
Follow the Workflow: Query defined in CLAUDE.md. Use the tiered search strategy.
Tiered Search (stop as soon as you have enough)
Tier 1: Index scan (cheap)
Read wiki/index.md only. Check if the question can be answered from page titles and one-line

# 核心主题

tommy-fcy tommy-fcy
[0]
[0]
更新于: 4/8/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for operators, 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
Review Score
8/11
Quality Score
30
Canonical Locale
en
Detected Body Locale
en

适用场景: Ideal for AI agents that need answer the following question using the wiki: $arguments. 本地化技能摘要: A lightweight, LLM-maintained knowledge base for research. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

核心价值

推荐说明: query helps agents answer the following question using the wiki: $arguments. A lightweight, LLM-maintained knowledge base for research. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

适用 Agent 类型

适用场景: Ideal for AI agents that need answer the following question using the wiki: $arguments.

赋予的主要能力 · query

适用任务: Applying Answer the following question using the wiki: $ARGUMENTS
适用任务: Applying Follow the Workflow: Query defined in CLAUDE.md. Use the tiered search strategy
适用任务: Applying Tiered Search (stop as soon as you have enough)

! 使用限制与门槛

  • 限制说明: Read wiki/index.md only. Check if the question can be answered from page titles and one-line descriptions alone.
  • 限制说明: If sufficient, answer immediately and stop. Do not read any other pages.
  • 限制说明: Only if Tier 2 is insufficient:

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

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.

评审后的下一步

先决定动作,再继续看上游仓库材料

Killer-Skills 的主价值不应该停在“帮你打开仓库说明”,而是先帮你判断这项技能是否值得安装、是否应该回到可信集合复核,以及是否已经进入工作流落地阶段。

实验室 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

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

query 是什么?

适用场景: Ideal for AI agents that need answer the following question using the wiki: $arguments. 本地化技能摘要: A lightweight, LLM-maintained knowledge base for research. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

如何安装 query?

运行命令:npx killer-skills add tommy-fcy/labwiki。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

query 适用于哪些场景?

典型场景包括:适用任务: Applying Answer the following question using the wiki: $ARGUMENTS、适用任务: Applying Follow the Workflow: Query defined in CLAUDE.md. Use the tiered search strategy、适用任务: Applying Tiered Search (stop as soon as you have enough)。

query 支持哪些 IDE 或 Agent?

该技能兼容 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。可使用 Killer-Skills CLI 一条命令通用安装。

query 有哪些限制?

限制说明: Read wiki/index.md only. Check if the question can be answered from page titles and one-line descriptions alone.;限制说明: If sufficient, answer immediately and stop. Do not read any other pages.;限制说明: Only if Tier 2 is insufficient:。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add tommy-fcy/labwiki。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    query 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

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

query

A lightweight, LLM-maintained knowledge base for research. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows. Answer the following

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

Query Wiki

Answer the following question using the wiki: $ARGUMENTS

Follow the Workflow: Query defined in CLAUDE.md. Use the tiered search strategy.

Tiered Search (stop as soon as you have enough)

Tier 1: Index scan (cheap)

Read wiki/index.md only. Check if the question can be answered from page titles and one-line descriptions alone.

Examples that Tier 1 can handle:

  • "Do we have a page on X?" → check index
  • "How many papers have we ingested?" → count entries
  • "List all methods" → read Methods section

If sufficient, answer immediately and stop. Do not read any other pages.

Tier 2: Targeted read (moderate)

If Tier 1 is insufficient, identify the 3-5 most relevant pages from the index. Read only those pages. This handles most queries:

  • "What does paper X say about Y?"
  • "Explain concept Z"
  • "What method did experiment W use?"

If sufficient, answer and stop.

Tier 3: Broad search (expensive)

Only if Tier 2 is insufficient:

  • Use Grep across wiki/ for query terms to find additional pages
  • Read wiki/synthesis.md for cross-cutting themes
  • Read up to 10-15 pages total (hard cap)

This is for complex synthesis questions:

  • "Compare all methods for X"
  • "What contradictions exist in the literature?"
  • "Summarize everything we know about Y"

Synthesize

Compose an answer based on wiki content:

  • Cite sources with wikilinks: [[src-slug|Author et al. (Year)]]
  • Reference concept/method pages: [[slug]]
  • If wiki content is insufficient, explicitly state what's missing

Optionally File

If the answer is a significant synthesis or comparison worth preserving, ask:

"This analysis seems worth filing as a thread. Shall I create a thread page?"

If yes: create wiki/threads/{slug}.md, update index and log.

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