How do I install the In Depth Research skill?

Run npx skillmds@latest add wike-chi/in-depth-research in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the In Depth Research skill do?

深度研究技能的红龙定制包装入口。检测到 HONGLONG-OVERRIDE.md 时优先使用定制内容。 It is listed under Research & Search on SkillMD.

Is In Depth Research safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with In Depth Research?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is In Depth Research free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published In Depth Research?

wike-chi (@wike-chi) published this skill. Their other Agent Skills are listed on their SkillMD profile.

In Depth Research by wike-chi — Agent Skill

Name: In Depth Research
Author: wike-chi

File contents

技能路由入口 — in-depth-research

本文件为 in-depth-research 技能的路由入口。 不随社区技能更新覆盖，保持红龙定制逻辑。

路由逻辑

AI Agent 执行以下检测：

本文件所在目录是否存在 HONGLONG-OVERRIDE.md？
    │
    ├─ 是 → 读取 HONGLONG-OVERRIDE.md 内容作为完整技能指令
    │         （跳过以下原始社区技能内容）
    │
    └─ 否 → 读取下方原始社区技能内容执行

为什么这样设计：HONGLONG-OVERRIDE.md 是独立文件，社区技能更新只覆盖 SKILL.md，不覆盖 HONGLONG-OVERRIDE.md，红龙定制内容得以保留。

原始社区技能内容

以下为原始 clawdhub 技能内容（仅当 HONGLONG-OVERRIDE.md 不存在时使用）

In-Depth Research

Multi-source research skill that validates findings across sources and delivers decision-ready intelligence.

Research Methodology

Phase 1: Source Identification

Define research scope and key questions
Identify authoritative primary sources (industry reports, government data, academic papers)
Map secondary sources (news, blogs, company filings)

Phase 2: Parallel Collection

Execute searches across all identified sources simultaneously
Document source quality and recency
Flag contradictions immediately

Phase 3: Triangulation

Cross-validate key facts across 3+ independent sources
Weight findings by source reliability
Calculate confidence scores for each finding

Phase 4: Synthesis

Structure output by research question
Distinguish facts from interpretations
Highlight areas of uncertainty

Output Standards

Standard	Requirement
Source count	Minimum 5 independent sources
Recency	No data older than 24 months without caveat
Attribution	Every claim traced to source
Confidence	High/Medium/Low/Unknown for each finding

---name: in-depth-researchdescription: 深度研究技能的红龙定制包装入口。检测到 HONGLONG-OVERRIDE.md 时优先使用定制内容。---# 技能路由入口 — in-depth-research> 本文件为 in-depth-research 技能的路由入口。> **不随社区技能更新覆盖**，保持红龙定制逻辑。## 路由逻辑AI Agent 执行以下检测：```本文件所在目录是否存在 HONGLONG-OVERRIDE.md？ │ ├─ 是 → 读取 HONGLONG-OVERRIDE.md 内容作为完整技能指令 │ （跳过以下原始社区技能内容） │ └─ 否 → 读取下方原始社区技能内容执行```> **为什么这样设计**：HONGLONG-OVERRIDE.md 是独立文件，社区技能更新只覆盖 SKILL.md，> 不覆盖 HONGLONG-OVERRIDE.md，红龙定制内容得以保留。---## 原始社区技能内容> 以下为原始 clawdhub 技能内容（仅当 HONGLONG-OVERRIDE.md 不存在时使用）# In-Depth ResearchMulti-source research skill that validates findings across sources and delivers decision-ready intelligence.## Research Methodology### Phase 1: Source Identification- Define research scope and key questions- Identify authoritative primary sources (industry reports, government data, academic papers)- Map secondary sources (news, blogs, company filings)### Phase 2: Parallel Collection- Execute searches across all identified sources simultaneously- Document source quality and recency- Flag contradictions immediately### Phase 3: Triangulation- Cross-validate key facts across 3+ independent sources- Weight findings by source reliability- Calculate confidence scores for each finding### Phase 4: Synthesis- Structure output by research question- Distinguish facts from interpretations- Highlight areas of uncertainty## Output Standards| Standard | Requirement ||----------|-------------|| Source count | Minimum 5 independent sources || Recency | No data older than 24 months without caveat || Attribution | Every claim traced to source || Confidence | High/Medium/Low/Unknown for each finding |

Frequently asked questions

In Depth Research