Industry Research

行业调研——researcher CLI + 多 Agent 对抗式研究引擎。输入一个行业/赛道/商业机会的模糊需求，输出一份有据可依、经过证据校验和红蓝对抗检验的战略调研报告。内置国民经济行业分类映射、 MECE/PESTLE/波特五力等咨询框架、事前验尸法和黑格尔辩证法合题引擎。支持精简/标准/深度三种报告深度。触发方式：/industry-research、「行业调研」、「行业分析」、「赛道研究」、「市场调研」 Use when the user asks for industry research, sector analysis, market study, competitive landscape analysis, investment thesis research, or any request involving structured industry investigation. Also trigger when user mentions 调研报告, 行业研究, 赛道分析, 商业机会分析, 投资逻辑梳理, or similar phrases. Even casual requests like "帮我看看 XX行业怎么样" or "XX赛道值不值得做" should trigger this skill.

33 stars 8 forksResearch & Science

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add geekjourneyx/industry-research --skill industry-research

Manual install

git clone --depth 1 https://github.com/geekjourneyx/industry-research.git /tmp/industry-research
mkdir -p ~/.claude/skills
cp -r /tmp/industry-research/. ~/.claude/skills/industry-research

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# 行业调研引擎 (Industry Research Engine)

你是一个行业研究系统的编排者。你的首要任务是调用 `researcher` CLI 生成可复核的研究工作区，再协调四个专业 Agent 审阅证据、挑战弱结论、修正置信度，并把用户的模糊调研需求转化为高质量、有据可依的战略研究报告。

核心理念：**宁可留白，不可编造。宁可悬置判断，不可虚假确定。**

---

## 调用方式

```
/industry-research [调研需求]
/industry-research --depth brief|standard|comprehensive [调研需求]
```

默认深度为 `standard`。

| 深度 | 目标字数 | 适用场景 |
|------|---------|---------|
| `brief` | ~3,000字 | 快速决策、内部沟通 |
| `standard` | ~8,000字 | 投资决策、战略规划 |
| `comprehensive` | ~15,000字 | 尽调报告、董事会材料 |

---

## 语言规则

跟随用户输入语言。中文输入产出中文报告，英文输入产出英文报告。所有 Agent 的工作语言与最终报告语言一致。

---

## 运行契约

在进入正式流程前，先固定以下运行变量，后续所有路径都使用它们，不要临时发明占位符：

1. `skill_root` = 本 SKILL.md 所在目录
2. `workspace_root` = `{cwd}/industry-research-workspace`
3. `topic_slug` = 基于 `research_topic` 生成的 kebab-case 标识；如果主题无法稳定转写，使用 `research-YYYYMMDD-HHMMSS`
4. `workspace_dir` = `{workspace_root}/{topic_slug}`

主路径不再由 prompt 手动创建这些文件，而是通过 `researcher run` 创建工作区。`workspace_dir` 以 `researcher run` 返回的实际路径为准。向子 Agent 下发任务时，传入**绝对路径字符串**，不要只写模糊占位符。

旧流程里的 `industry_anchor.json`、`context_dictionary.json`、`entity_evidence_plan.json`、`ghost_deck.json`、`blue_r1.json`、`red_r1.json`、`blue_r2.json`、`red_r2.json` 是兼容层或降级兜底产物；如果 `researcher` 已经产出 `trace_plan.json`、`evidence_ledger.json`、`disconfirmation_log.json`、`confidence_report.json`，优先审阅这些新产物。

---

## 新执行中心：researcher CLI

本 skill 不再把完整研究链路全部写在 prompt 编排中。行业研究请求由本 skill 负责识别、定域、定深度、定语言，然后调用 `researcher` CLI 生成可复核的研究工作区。

基本调用：

Read the full skill on GitHub

Details

Skill name: industry-research
Repository: geekjourneyx/industry-research
License: MIT
Repo updated: 5 July 2026

FAQ

What does the Industry Research skill do?

How do I install the Industry Research skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add geekjourneyx/industry-research --skill industry-research. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Industry Research popular?

It lives in geekjourneyx/industry-research, which has 33 GitHub stars and 8 forks.

Related skills

Zju Literature Downloader

baihe26/zju-literature-downloader

Use this skill whenever the user wants to use their own logged-in Zhejiang University Library, WebVPN, CAS SSO, 求是学术搜索, Summon, ScienceDirect, publisher, or Chrome session to legally search, download, organize, retry, and read academic PDFs and supporting information. Trigger on requests like “用浙大图书馆下载文献”, “WebVPN 下载 PDF”, “CAS 认证失败后重试下载”, “ScienceDirect 人机验证后继续”, “自动下载补充材料”, “读取全文和 supporting information”, “批量整理文献到项目文件夹”, or “导入 Zotero 后帮我读全文”.

Research & Science

Paper Sprint Review

RichradsY/PaperSprint

PaperSprint is a Scrum-inspired academic paper agent workflow for conference or journal drafts. Use when Codex needs to clarify paper direction, estimate likely sprint count, set sprint goals and focus areas, assess venue fit, organize reviewer or editor lenses, convert critique into a prioritized revision backlog, drive amendment increments, or keep a process log across repeated review loops for `.docx`, `.tex`, `.md`, PDF, thesis, and response-letter materials.

Research & Science

Phdtaketaketake

powerofjinbo/phdtaketaketake

Score a PhD applicant's profile and rank candidate advisors using a connection-first 4.0-scale scoring system. Best-supported for physics / HEP and materials science (MSE), with the scoring engine extensible to chemistry, biology, CS, math, EE, ChemE, earth science (each with field-specific caveats — see references/journal_tiers.md). Use when the user wants to evaluate their PhD application chances, find matching advisors at top US programs, score a CV for graduate school, or compare candidate professors. Also triggers when the user mentions phdtaketaketake or its connection-first philosophy o

Research & Science

Bettersearch

ry0narushima/bettersearch

Web research with DeepSeek's Search & Fetch APIs. Use whenever the user asks to research something, look up or look into a topic, search the web, find sources, check current facts, numbers or prices, compare options with up-to-date info, fact check a claim, or do deep research / write a research report. Quick mode answers in chat with numbered citations; advanced (deep) mode runs a planner, researchers, fact-checker, reviewer and writer and builds a self-contained HTML report.

Research & Science

Lit Review

Zachariah9420/lit-review-skill

根據使用者的文章或論文草稿，自動用 Semantic Scholar、Crossref、arXiv API 搜尋相關文獻，並查核既有引用(文獻是否真實存在、書目欄位是否正確、內容是否支持文中論點)，也能從主題出發寫出「每個宣稱都有真實文獻支撐」的帶引用文章；另含研究生工具組：文獻矩陣、領域地圖、research gap 偵測、閱讀筆記卡、引用完整性檢查、中英術語一致性、口試/審稿預演、新文獻追蹤、引用需求標記(annotate)、反面證據搜尋(counter)、證據強度評級(strength)、claim-evidence 總表(claims)、撤稿查詢(retract)。凡是使用者提到找文獻、找 paper、補參考文獻、查核引用、檢查 citation、驗證參考文獻、related work、literature review，貼文章要求配文獻、問「這段話有沒有文獻支持」、要求「寫一篇帶參考文獻的文章」、要整理文獻比較表、問已指名兩概念的交集有沒有人做過、要準備口試文獻答辯時，都要使用本 skill。本 skill 的 gap 指令只查證使用者已指名的 X 與 Y 交集；若使用者連題目都還沒有、需要生成並逐一淘汰候選方向，那是題目生成，不在本 skill 範圍(環境裝有 research-gap-hunter 時交給它，沒有就如實說明本 skill 只能查證已指名的交集)。本 s

Research & Science

Suoha Serenity Skill

suoha888/suoha-serenity-skill

Research stocks and supply-chain chokepoints using a framework distilled from Serenity's public posts. Use for evidence-first company health checks across A-shares, Hong Kong and US equities, live data packs, company-name resolution and falsifiable, source-cited research reports. Distinguish an industry bottleneck from a company's value capture and market expectations. Reports do not represent Serenity's own views; research only, no trade execution or promised returns.

Research & Science

Browse the most popular Claude skills, all research & science skills, or write your own with the skills generator.