クロードコード/コーデックスのための単一のスタンドアローンの研究スキル。

単一の研究の背骨の周りに構築された1つの自己完結したスキルファイル。

日本語 English

このスキルは何か

[researcher]は、以下の研究タスクのことです。

• オープンエンド
• マルチソース
• 判断重い
• hype、弱い要約、または片面の物語に脆弱

それは仕事のためにのような設計されています:

• 新しい業界やフィールドのマッピング
• 会社や製品に関する調査
• クレームまたは物語の検証
• パスを比較し、決定を下す
• 実際の機会と大きな物語を見つけること
• 理解の開業医の現実および隠された摩擦
• 学術文献と芸術の状態の見直し

アーキテクチャ

1つの連結研究スキル:

skills.md には、準備、情報収集、 垂直履歴、水平比較、クロス軸インサイト、オブジェクト型 適応、証拠および引用の規則、出力構造、執筆基準、 そして最終的な質のチェックリスト。

読みやすさは中国語で書かれています。 YAMLメタデータは、 英語のトリガーの用語なので、英語の研究プロンプトは、まだそれにルーティングすることができます。

コアデザイン

##1. 1つの中心方法

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.