
对Claude Code进行深度搜索的反应。深入搜索,而非广泛搜索——每一轮都跟着上一轮线索进行。
概览
克劳德代码/法典的单一独立研究技能。 一个围绕单一研究脊梁构建的自成一体的技能档案。 研究者用于以下研究任务: - 开放式 - 多来源 - 偏重评判 - 容易被炒作、薄弱总结或片面叙述影响 - 绘制新行业或领域的地图 - 调查公司或产品 - 验证主张或叙述 - 比较路径并做出决策 - 发现真实机会与喧嚣叙述 - 理解从业者的现实与隐性摩擦 - 审查学术文献和最新技术 包含完整方法:准备、信息收集、纵向历史、水平比较、跨轴洞察、对象类型适应、证据与引用规则、输出结构、写作标准以及最终质量检查表。 技能体以中文书写,便于阅读。YAML元数据保留了英文触发词,使英语研究提示仍能指向该词。
概述(AI 翻译)
克劳德代码/法典的单一独立研究技能。
一个围绕单一研究脊梁构建的自成一体的技能档案。
英文 |中文
这项技能的作用
researcher 用于以下研究任务:
- 开放式
- 多源
- 判断力强
- 容易被炒作、薄弱的总结或片面叙述所影响
它设计用于以下工作:
- 绘制新的行业或领域地图
- 调查公司或产品
- 验证主张或叙述
- 比较路径并做出决策
- 寻找真实的机会与喧嚣叙事
- 理解从业者的现实与隐性摩擦
- 回顾学术文献和最新技术
建筑
一项整合的研究技能:
skills.md 包含完整方法:准备、信息收集, 垂直历史、水平比较、横轴洞察、对象类型 适应、证据和引用规则、输出结构、写作标准, 以及最终的质量检查清单。
技能主体以中文编写以便阅读。YAML元数据保持 英语触发词汇,所以英语研究提示仍能引导到它。
核心设计
1.单一核心方法
本页由 AI 翻译,技术细节请以原文为准。
README
以下为原文 README 节选,完整内容请查看原文。
Researcher
A single standalone research skill for Claude Code / Codex.
One self-contained skill file built around a single research spine.
VERTICAL history + HORIZONTAL comparison -> CROSS-AXIS judgment
English | 中文
What This Skill Does
researcher is for research tasks that are:
- open-ended
- multi-source
- judgment-heavy
- vulnerable to hype, weak summaries, or one-sided narratives
It is designed for work like:
- mapping a new industry or field
- investigating a company or product
- validating a claim or narrative
- comparing paths and making decisions
- finding real opportunities vs loud narratives
- understanding practitioner reality and hidden friction
- reviewing academic literature and state of the art
Architecture
One consolidated research skill:
researcher/
└── skills.md ← horizontal-vertical research method
skills.md contains the full method: preparation, information collection, vertical history, horizontal comparison, cross-axis insight, object-type adaptation, evidence and citation rules, output structure, writing standards, and a final quality checklist.
The skill body is written in Chinese for readability. The YAML metadata keeps English trigger terms so English research prompts can still route to it.
Core Design
1. One Core Method
The skill is not a pile of research tactics. Every investigation follows one structure:
- Vertical axis: how the object became what it is.
- Horizontal axis: where it stands now among peers, substitutes, users, and incentives.
- Cross-axis judgment: what the combination reveals.
2. Evidence Supports the Axes
Evidence work is organized around the two axes instead of accumulated for its own sake. The skill still distinguishes official, behavioral, operator, lived experience, adversarial, market proxy, and artifact sources.
3. Challenge Before Judgment
Every strong thesis must be attacked before synthesis: criticism, failed cases, methodology issues, adversarial sources, incentives, and behavioral evidence all matter.
4. Adaptive Output
The skill defaults to a concise chat answer. It creates a durable research artifact only when the user asks for one, provides an output path, or the work is too large to remain useful inline.
Installation
Clone:
git clone https://github.com/recomby-ai/researcher-skill.git
Install to Claude Code:
mkdir -p ~/.claude/skills/researcher
cp researcher-skill/researcher/skills.md ~/.claude/skills/researcher/SKILL.md
Install to Codex:
mkdir -p ~/.codex/skills/researcher
cp researcher-skill/researcher/skills.md ~/.codex/skills/researcher/SKILL.md
Web Upload
If your runtime requires the entry file to be named SKILL.md, rename
researcher/skills.md to SKILL.md before uploading. The file is otherwise
self-contained.
Example Prompts
Use $researcher to map the AI agent engineering job market.
推荐工具
换一个关键词,或者移除筛选条件。
安装
npx skillfish add viryazheng/researcher-skill