Claude Code / Codex의 단일 독립 연구 기술.

단일 연구 척추의 주위에 내장 된 하나의 자체 유지 기술 파일.

Korean | 한국어

이 스킬은 무엇인가?

researcher]는 다음과 같은 연구 과제입니다:

• 오픈
• 멀티 소스
• 판결 -
• hype, 약한 summaries, 또는 1면 narratives에 취약

그것은 일을 위해 같이 디자인됩니다:

• 새로운 산업 또는 분야를 매핑
• 회사 또는 제품을 투자
• 클레임 또는 narrative 검증
• 계산 경로 및 결정
• 의 실제 기회를 찾기 대 큰 narratives
• 이해 파쇄기 현실과 숨겨진 마찰
• 예술 문학 및 국가 검토

건축

1개의 통합된 연구 기술:

skills.md는 전체 방법을 포함합니다: 준비, 정보 수집, 수직 역사, 수평 비교, 교차 축 통찰력, 객체 유형 적응, 증거 및 인용 규칙, 산출 구조, 쓰기 기준, 그리고 마지막 질 checklist.

기술 몸은 읽기 능력에 대한 중국어로 작성됩니다. YAML 메타데이터 유지 영어 트리거 용어 그래서 영어 연구 프롬프트는 여전히 그것을 경로 할 수 있습니다.

핵심 디자인

1 핵심 방법

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.