Market Research pluginMarket Research plugin
Open-source · MIT · v0.6.0

/analyst-research

A Claude Skill that turns a single hypothesis into a publication-ready research report — three scope modes, one rigorous 8-step workflow.一个把单一假设做成可发表研究报告的 Claude Skill——三档 mode,一套严谨的 8 步工作流。

How to use it怎么用
$ /analyst-research
analyst-research · investment research workflow skill
Pick a scope based on your project size:

  light    5-page decision memo, 0 charts, 10-15 min
           Single LLM. Pure markdown footnote citations.

  medium   10-15p topic analysis, 3-8 charts, 30-45 min
           PDF + Word. Sign-off checkpoint after draft.

  heavy    Flagship report 15k+ words, 20-35+ charts, 2-3 hours
           Multi-LLM optional. PDF + Word + WeChat + HTML.

Which mode fits your project? _analyst-research · 投研工作流 skill
按项目体量挑一档 scope:

  light    5 页决策 memo,不带图,10-15 分钟
           单 LLM,纯 markdown 脚注引用。

  medium   10-15 页主题分析,3-8 张图,30-45 分钟
           产出 PDF + Word,draft 后留一个 sign-off。

  heavy    1.5 万字以上旗舰报告,20-35+ 张图,2-3 小时
           可选多 LLM 协作,产出 PDF + Word + 公众号 + HTML。

你的项目适合哪一档? _

Type /analyst-research in Claude Code, answer the scope prompt, and hand over your hypothesis. The skill loads only the workflow for the mode you picked — no wasted context.在 Claude Code 里敲 /analyst-research,回答 scope 提示,把假设交给它就行。Skill 只会加载你选中那一档的工作流,不浪费 context。

Mode模式 · light
5-page decision memo5 页决策 memo
  • 10-15 min, single LLM10-15 分钟,单 LLM
  • 0 charts, pure footnote citations不带图,纯脚注引用
  • BLUF executive summary结论先行的执行摘要
  • 0 hard stops, 12-item grep self-check无硬性停点,12 项 grep 自检
Use for适用于
Exec brief · decision support · internal memo执行简报 · 决策支持 · 内部 memo
Mode模式 · medium
10-15p topic analysis10-15 页主题分析
  • 30-45 min, single LLM30-45 分钟,单 LLM
  • 3-8 custom charts (shared chart_template)3-8 张定制图(共用 chart_template)
  • PDF + Word derivations派生 PDF + Word
  • 1 sign-off checkpoint after draftdraft 后留一个 sign-off 节点
Use for适用于
Topic deep-dive · board memo with data · quick analysis主题深挖 · 带数据的决策 memo · 快速分析
Mode模式 · heavy
Flagship 15k+ word report1.5 万字以上旗舰报告
  • 2-3 hours, multi-LLM optional2-3 小时,可选多 LLM
  • 20-35+ charts, full visual production stack20-35+ 张图,完整视觉生产栈
  • PDF + Word + WeChat md + HTML publicationPDF + Word + 公众号 md + HTML 刊物
  • 3 sign-off checkpoints (outline / draft / final)3 个 sign-off 节点(outline / draft / 定稿)
Use for适用于
Industry deep-dive · macro thesis · policy assessment · flagship publication行业深度 · 宏观主题 · 政策评估 · 旗舰刊物
The 8-step workflow · where the rigor lives8 步工作流 · 严谨藏在哪

AI vibe coding,
with discipline.
有纪律的
AI vibe coding。

I treat AI like a junior analyst: fast, broad-knowledge, untrained instinct. The skill's job is to design the track it runs on, and to catch its mistakes before they reach the page. The 8 steps below sit behind analyst-research's medium and heavy modes; light mode compresses the same logic into 6. The badges mark where a human decides, and where the quality gates are.我把 AI 当成一个初级分析师:快、知识面广、但直觉没经过训练。Skill 的任务,就是给它铺好跑的轨道,并在错误进入正文之前拦下来。下面这 8 步是 analyst-research 的 medium 和 heavy 两档骨架,light 档把同样的逻辑压成 6 步。标签标出了哪里由人拍板、哪里是质量门。

  1. 01

    Hypothesis lock锁定假设

    Human人工

    A single-sentence research question, fixed before any search begins. It travels with the project file from day one — never back-derived from the draft.一句话写清研究问题,在动手检索之前就定下来。从第一天起跟着项目文件走,绝不事后从草稿里反推。

  2. 02

    Broad-spectrum search广谱检索

    Five source categories at once: official statistics, multilateral institutions (IMF / World Bank / IEA), central banks, sell-side banks, primary corporate filings. PDFs downloaded in full, not just the abstract.五类来源一起上:官方统计、多边机构(IMF/世行/IEA)、央行、卖方投行、公司原始披露。PDF 整篇下下来,不只看摘要。

  3. 03

    Outline + visual plan提纲 + 配图规划

    Sign-off人工确认

    The user signs off on the section structure before any prose is written. How many charts each section gets, and of what type, is planned alongside the argument.章节结构先给用户过目、确认了再动笔。每节配几张图、配什么类型,跟文字论证一起想清楚。

  4. 04

    Data extraction + chart production取数 + 出图

    Every chart pairs a CSV with a Python script. chart_template.py enforces palette, fonts and label legibility. The number in the title must match the data on the chart.每张图都对应一组 CSV 加一段 Python 脚本。chart_template.py 统一配色、字体和标签可读性。标题里的数字,必须和图上的数据对得上。

  5. 05

    Draft in one continuous pass一气呵成写初稿

    A single LLM writes end-to-end. Citations go in as you write, never bolted on afterward. Filler and self-narration are grep'd out.单 LLM 从头写到尾。边写边标引用,绝不写完再补。废话和自说自话,用 grep 清掉。

  6. 06

    Self-critique, 6 dimensions自我批评,6 个维度

    Quality gate质量门

    Facts, unit consistency, citation accuracy, cross-section coherence, argument flow, language register — three rounds. Anything that fails routes surgically back to step 5.事实、单位一致、引用准确、跨节连贯、论证流畅、语言风格,六个维度查三轮。不过关的,精准打回第 5 步。

  7. 07

    Independent verification独立核验

    Quality gate质量门

    Every load-bearing number is cross-checked through the verifying skill against whitelisted primary sources. Whatever fails gets a ⚠️ flag or gets cut.每个撑着结论的数字,都用 verifying skill 对着白名单里的原始来源交叉核对。核不过的,要么标 ⚠️,要么删掉。

  8. 08

    Final sign-off + derivations定稿 sign-off + 派生

    Human人工

    The user reads the full PDF, marks revisions and signs off. Only then come the derivations: WeChat-paginated markdown, HTML publication, Word.用户读完整篇 PDF、标好修改、签字确认。之后才派生:公众号分页 md、HTML 刊物、Word。

How the skill is organized这个 skill 怎么组织的

One trigger, three workflows, shared production tooling.一个触发入口,三套工作流,共用一套生产工具。

analyst-research/
├── SKILL.md                  # trigger + mode routing
├── references/
│   ├── workflow_light.md     # 6 steps
│   ├── workflow_medium.md    # 8 steps
│   ├── workflow_heavy.md     # 11 steps
│   └── report_style_spec.md  # visual production rules
└── scripts/
    ├── chart_template.py     # shared chart styling
    └── publication-style-template.htmlanalyst-research/
├── SKILL.md                  # 触发 + mode 分流
├── references/
│   ├── workflow_light.md     # 6 步
│   ├── workflow_medium.md    # 8 步
│   ├── workflow_heavy.md     # 11 步
│   └── report_style_spec.md  # 视觉生产规范
└── scripts/
    ├── chart_template.py     # 统一图表样式
    └── publication-style-template.html
Multi-LLM division of labor (heavy mode, optional)多 LLM 分工(heavy mode,可选)

Each model does the part it's best at.每个模型只做自己最擅长的那一段。

Claude

IB-grade English writing, structural skeletons, integration and end-to-end orchestration. The default model at every step.英文 IB 级写作、搭结构骨架、做整合、端到端编排——每一步的默认模型。

GPT-5

Numerical precision, unit-consistency critique, fact-checking and the red lines on language register. The only outside critic in step 6.盯数值精度、查单位一致、核事实、把语言风格的红线——第 6 步唯一的外部批评者。

DeepSeek

Chinese-polishing patterns, since distilled into a 6-point style guide that Claude now applies on its own — no longer called at runtime.中文润色的路数,现已提炼成 6 条风格指南,由 Claude 直接套用,运行时不再调用。

Install in Claude Code在 Claude Code 里安装
$ /plugin marketplace add genli-ai/market-research-skills
$ /plugin install market-research-skills@market-research-skills
MIT licensed. Source onMIT 许可。源码在 GitHub →

See what it produces.看看它能产出什么。

A 15,000-word Saudi Vision 2030 deep-dive, built end-to-end in heavy mode.一份用 heavy mode 端到端跑出来的 1.5 万字沙特愿景 2030 深度研究。

View the example report查看示例报告