
viryazheng/researcher-skill
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ReAct deep search skill for Claude Code. Searches deep, not wide — each round follows leads from the last.
Обзор
A single standalone research skill for Claude Code / Codex. One self-contained skill file built around a single research spine. researcher is for research tasks that are: - open-ended - multi-source - judgment-heavy - vulnerable to hype, weak summaries, or one-sided narratives - 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 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.
README
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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.
Рекомендуемые инструменты
Попробуйте другой запрос или уберите фильтр.
Установка
npx skillfish add viryazheng/researcher-skill