Agent skill

Vc Industry Research

by zebbern in zebbern/claude-code-guide

Generate professional primary market / venture capital industry research reports, including sector deep-dives, investment memos, and market analysis.

MITAuto-check passedDocuments & Office

Install Vc Industry Research

skills CLI
$ npx skills add zebbern/claude-code-guide --skill vc-industry-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zebbern/claude-code-guide vc-industry-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zebbern/claude-code-guide.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/vc-industry-research .claude/skills/vc-industry-research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
vc-industry-research
GitHub stars
4.7k
Token cost
~1.6k tokens
SKILL.md length
641 words
Files
3 (incl. references)
Skills in repo
46
Repo updated
First seen
Licence
MIT

At a glance

Generate professional primary market / venture capital industry research reports, including sector deep-dives, investment memos, and market analysis.

  • Works in 7 steps: Understand the research scope from user… → Determine report style based on user… → Plan content structure using the… → …
  • Tasks that involve Fundraising and pitch decks
  • SKILL.md covers Reference Source, Supported Outputs, Workflow and Style Selection Guide, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Vc Industry Research is an agent skill from zebbern/claude-code-guide. Generate professional primary market / venture capital industry research reports, including sector deep-dives, investment memos, and market analysis. Produces detailed PDF reports covering TMT, consumer, healthcare, and industrials. Triggered by requests to analyze an industry, create a market report, write a sector deep-dive, or generate any PE/VC-style research document in Chinese or English.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/structure_contract.md` and `references/style_contract.md`).

It sits in Documents & Office, covering Fundraising and pitch decks, Deep research and Market research. The repository describes itself as: Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user! The licence is MIT.

When your agent uses it

  • Tasks that involve Fundraising and pitch decks
  • Tasks that involve Deep research
  • Tasks that involve Market research

Example prompts

  • “/vc-industry-research”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Understand the research scope from user query: target industry, sub-topics, depth, page count
  2. Determine report style based on user preference or task context
  3. Plan content structure using the appropriate structure contract (see references)
  4. Research and gather data using web search and data source tools as needed
  5. Review investment & financing history for the sector: search for key funding rounds, deal sizes, lead investors, IPO/exit events, and…
  6. Generate the report following the style and structure contracts precisely
  7. Review for completeness: ensure all exhibits are numbered, sources cited, and formatting consistent

What it can do on your machine

Read from SKILL.md and the folder at commit 7ff9fbb. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Vc Industry Research loads about 1.6k tokens when it runs, and up to ~6.9k if it reads all its reference files. Until then it costs about 105 tokens; SKILL.md has 641 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~105
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from zebbern/claude-code-guide at commit 7ff9fbb, republished under its MIT licence (© zebbern). 641 words, ~1,617 tokens.

Download SKILL.mdSave it as .claude/skills/vc-industry-research/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
vc-industry-research
description
Generate professional primary market / venture capital industry research reports, including sector deep-dives, investment memos, and market analysis. Produces detailed PDF reports covering TMT, consumer, healthcare, and industrials. Triggered by requests to analyze an industry, create a market report, write a sector deep-dive, or generate any PE/VC-style research document in Chinese or English.

Primary Market Industry Research Report

Generate professional industry research reports in an institutional primary-market (PE/VC) research style.

Reference Source

  • Type: Uploaded artifact (PDF)
  • Reference File Type: PDF
  • Languages: Chinese or English (auto-detect from user query; default to user's language)

Supported Outputs

  • PDF (default)
  • DOCX
  • PPTX (if explicitly requested)

Default output: PDF. If user explicitly requests DOCX or PPTX, honor that request.

Workflow

  1. Understand the research scope from user query: target industry, sub-topics, depth, page count
  2. Determine report style based on user preference or task context:
    • Style A (Deep Discussion): Opinion-heavy, TMT/tech focus, numbered chapters (01, 02...), no TOC
    • Style B (Traditional Sector): Data-heavy, many charts and tables, TOC with multi-level numbering
  3. Plan content structure using the appropriate structure contract (see references)
  4. Research and gather data using web search and data source tools as needed
  5. Review investment & financing history for the sector: search for key funding rounds, deal sizes, lead investors, IPO/exit events, and capital flow trends in the target industry. Sources include Crunchbase, PitchBook, CB Insights, IT桔子, 烯牛数据, and public deal announcements
  6. Generate the report following the style and structure contracts precisely
  7. Review for completeness: ensure all exhibits are numbered, sources cited, and formatting consistent

Style Selection Guide

Choose the report style based on context:

IndicatorUse Style A (Deep Discussion)Use Style B (Traditional)
SectorTMT, AI, Software, SaaSConsumer, Healthcare, Industrials, Materials
ToneOpinion-forward, thesis-drivenData-driven, objective
ChartsModerate (native charts, benchmark tables for AI research)Dense (pie charts, bar charts, line charts)
TOCNoYes, with 3-level hierarchy + dot-leaders + page numbers
Chapter numbers01, 02, 03... in red/dark-red1, 1.1, 1.2, 2.1... in black
Page count15-25 pages typical30-60 pages typical

For detailed style rules, see references/style_contract.md.

Structure Templates

Two primary structure patterns are available. See references/structure_contract.md for full details.

Style A Structure (Deep Discussion)
Cover Page:
  [White background]
  [Institution logo (top-right): icon + institution name (bilingual)]
  [Main title: bold KaiTi, left-aligned, large, dark-red accent underline]
  [Author line: "Cr.: [Author Name]"]
  [Date line: "Date: YYYY-Mon"]
  [QR code (right side)]

Executive Summary (~1 page)
  [Bordered/quoted paragraph block]

01 [Chapter Title]
  [Section Heading in red/dark-red KaiTi]
  [Subsection Heading in red/dark-red KaiTi]
Style B Structure (Traditional Sector)
Cover Page:
  [White background, ultra-minimal]
  [Full title: centered, KaiTi, large]
  [Institution logo: centered below title]
  [Institution name: centered below logo]
  [Date: centered, bottom area (YYYY.MM format)]

Table of Contents (page 2-3)
  [Title "目录": centered, large character spacing]
  [1  [Main Chapter]..................p3]
  [  1.1 [Section]...................p3]

Content Pages:
  [Header: report title centered + horizontal rule below]
  [Footer: page number]

Typography Strategy

For Chinese-language reports
  • Headings: KaiTi (楷体) — calligraphic, distinctive institutional feel
  • Style A body: SimSun (宋体) — formal serif tone
  • Style B body: STKaitiSC-Regular (华文楷体) — consistent with heading font family
  • Latin text: Times New Roman (body + italic for sources), Arial Bold (header emphasis)
  • Chart labels: DengXian (等线) or Calibri for English labels
  • All document text paths use CJK-capable fonts consistently
Show full SKILL.md (270 more words)Show less
For English-language reports
  • Headings: Georgia or Times New Roman — institutional serif feel
  • Body text: Times New Roman or Garamond — formal, readable
  • Chart labels / tables: Calibri or Arial
  • Header emphasis: Arial Bold
General
  • When exact reference fonts unavailable, prefer fonts from the same visual family
  • For bilingual content, ensure CJK and Latin fonts are harmonized in weight and size

Exhibit Numbering

  • Figures: Sequential numbering with caption below — "图 N" (Chinese) or "Figure N" (English)
  • Tables: Sequential numbering with caption above — "表 N" (Chinese) or "Table N" (English)
  • Data source note below each exhibit: "数据来源:xxx" (Chinese) or "Source: xxx" (English)
  • Reset numbering for each major section in Style B; continuous in Style A

Source Citation Rules

  • Every data point, statistic, or claim must have a source
  • Inline: cite source parenthetically or in footnote
  • Exhibits: "数据来源:" (Chinese) or "Source:" (English) below each figure/table
  • Preferred sources: government databases, industry associations, public company filings, reputable analyst reports, authoritative media

Key Quality Checks

  • Cover page matches selected style (Style A or B) precisely
  • Color palette matches selected style — NO custom dark themes or modern gradients
  • All chapter/section numbering is consistent and matches selected convention
  • TOC has dot-leaders AND page numbers (Style B only)
  • Running header with horizontal rule on all content pages (Style B)
  • All figures and tables are numbered and captioned
  • All data points have source attribution
  • Typography applied consistently per language (CJK fonts for Chinese reports, serif fonts for English reports)
  • Tables have clean borders: no vertical rules, header row has top/bottom borders, table has top/bottom thick borders (Style B)
  • Institution/publisher identity present (logo area or header text)
  • No placeholder text left in document

© zebbern, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/vc-industry-research of zebbern/claude-code-guide.

  • SKILL.md
  • references/structure_contract.md
  • references/style_contract.md

Open the folder on GitHubat commit 7ff9fbb

Compare with similar skills

Vc Industry Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Vc Industry Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Vc Industry Research this skillzebbern/claude-code-guide4.7k—~1.6kAutomated safety check: PassMIT
Deep Researchsanjay3290/ai-skills4329 repos~683Automated safety check: NotesApache-2.0
Consulting Analysisbytedance/deer-flow84k4 repos~8.4kAutomated safety check: PassMIT
Deep Scrapedavidondrej/skills4.1k—~2.3kAutomated safety check: PassMIT
China Market Open Data SearchOpenSenseNova/SenseNova-Skills5.7k—~954Automated safety check: NotesMIT
Quant Paper ExtractorCamusGIT/EvoQuant151—~2.4kAutomated safety check: PassApache-2.0

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Questions about Vc Industry Research

What does Vc Industry Research do?

Generate professional primary market / venture capital industry research reports, including sector deep-dives, investment memos, and market analysis. Vc Industry Research is an agent skill from zebbern/claude-code-guide. Generate professional primary market / venture capital industry research reports, including sector deep-dives, investment memos, and market analysis.

When should I use Vc Industry Research?

Vc Industry Research fits situations like: tasks that involve Fundraising and pitch decks; tasks that involve Deep research; tasks that involve Market research.

How do I install Vc Industry Research in Claude Code?

Run `npx skills add zebbern/claude-code-guide --skill vc-industry-research -a claude-code`. Or copy the skill folder (skills/vc-industry-research in zebbern/claude-code-guide) into .claude/skills/vc-industry-research in your project. Claude Code loads it when a task matches its description.

How do I install Vc Industry Research in Codex?

Run `npx skills add zebbern/claude-code-guide --skill vc-industry-research -a codex`. Or copy the skill folder (skills/vc-industry-research in zebbern/claude-code-guide) into .agents/skills/vc-industry-research in your project. Codex loads it when a task matches its description.

Can I use Vc Industry Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zebbern/claude-code-guide --skill vc-industry-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vc-industry-research, .gemini/skills/vc-industry-research, .github/skills/vc-industry-research and .opencode/skills/vc-industry-research in your project.

What does Vc Industry Research need to run?

SKILL.md names no scripts, command-line tools or credentials: Vc Industry Research is instructions for the agent only.

Does Vc Industry Research access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Vc Industry Research safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Vc Industry Research use?

Vc Industry Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Vc Industry Research use?

About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.3k tokens, read only when the agent opens those files.

What are the alternatives to Vc Industry Research?

Skills that share tags, products or a category with Vc Industry Research: Deep Research (sanjay3290/ai-skills, 432 stars), Consulting Analysis (bytedance/deer-flow, 84k stars), Deep Scrape (davidondrej/skills, 4.1k stars) and China Market Open Data Search (OpenSenseNova/SenseNova-Skills, 5.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vc Industry Research?

zebbern (a GitHub user) maintains it in zebbern/claude-code-guide, which has 4,650 GitHub stars. The repository holds 46 skills in this directory. The repository was last updated on October 10, 2026.

Source: zebbern/claude-code-guide on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.