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data-room资料室

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

706

周安装

30

GitHub Stars

115

下载量

247
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:data-room(资料室)
来源仓库:https://github.com/shawnpang/startup-founder-skills
仓库路径:skills/data-room
安装命令:
npx skills add https://github.com/shawnpang/startup-founder-skills --skill data-room
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/shawnpang/startup-founder-skills --skill data-room

简介

专为创业公司融资阶段设计,协助准备投资者尽职调查所需的资料室材料。

  • 适用于种子轮到 B 轮融资期间,应对投资机构正式尽调或 term sheet 后的补充审查。
  • 自动整合企业基本信息、财务数据、团队结构和法律文件等核心尽调要素。
  • 需用户提供当前融资阶段、目标投资方及具体材料类型等上下文信息。
  • 安装依赖 GitHub 仓库结构,通过 npx 命令添加并使用 startup-context 提供基础数据。

SKILL.md

Data Room

When to Use

  • The founder is mid-fundraise and investors are requesting due diligence materials.
  • The founder wants to proactively prepare a data room before starting outreach.
  • The founder received a term sheet and needs to prepare for confirmatory due diligence.

Context Required

From startup-context: stage, legal entity type, founding date, team composition, fundraising history, cap table basics, revenue/metrics, and any existing legal or financial documents.

From the user: current round stage (pre-term sheet vs. post-term sheet), which investor is requesting materials, and any specific document requests received.

Workflow

  1. Read startup context — Pull company details from .agents/startup-context.md to understand stage, entity type, and what documents should already exist.
  2. Assess the DD stage — Determine if this is proactive prep (pre-pitch), initial DD (post-first meeting), or confirmatory DD (post-term sheet). The scope differs significantly.
  3. Generate the checklist — Produce a stage-appropriate checklist using the master framework below. Mark each item as: Exists, Needs Update, Needs Creation, or Not Applicable.
  4. Audit existing materials — Review documents for completeness, staleness (financials older than 1 month), and red flags (missing signatures, inconsistent cap table).
  5. Draft missing items — Provide templates or drafts for documents the founder needs to create (financial summary, KPI dashboard, org chart).
  6. Organize the room — Recommend a folder structure and set access controls for what to share pre- vs. post-term sheet.

Output Format

A structured checklist in markdown, organized by category:

## Data Room Checklist — [Company Name] — [Round]

### Section 1: Corporate Documents
- [x] Certificate of Incorporation — exists, current
- [ ] Board consent for fundraise — needs creation
- [ ] 409A valuation — needs update (last done 14 months ago)

Followed by a recommended folder structure and access-level guidance.

Frameworks & Best Practices

Master Due Diligence Checklist

1. Corporate Documents: Certificate of Incorporation (and amendments), bylaws, board minutes (last 12 months), board consent for fundraise, stockholder agreements, QSBS eligibility docs, state registrations, any pending litigation.

2. Cap Table & Equity: Fully diluted cap table (Carta/Pulley export, not a manual spreadsheet), option plan and grant ledger, SAFEs/convertible notes with terms, pro forma post-round cap table, current 409A valuation (<12 months old), secondary sale history.

3. Financials: P&L, balance sheet, cash flow — actual, last 12 months (monthly). Bank balance and burn rate. 18-36 month projections with stated assumptions. Revenue breakdown by customer/cohort. Unit economics (CAC, LTV, gross margin, payback). AR/AP aging. Outstanding debt.

4. Metrics & KPIs: Monthly KPI dashboard (MRR/ARR, growth, churn, NRR, DAU/MAU). Cohort retention. Sales pipeline (B2B) or funnel conversion (B2C/PLG).

5. Product & Technology: Product roadmap (6-12 months), architecture overview, IP ownership confirmation, patent filings, open source license audit, SOC 2 or security summary.

6. Contracts & Customers: Top 10 customer contracts, customer concentration analysis (<20% per customer is ideal), key vendor/partner agreements, exclusivity or non-compete clauses, churn log.

7. Team & HR: Org chart, founder/key employee bios, employment agreements (confirm IP assignment), contractor agreements, option grant summary, HR disputes, benefits summary.

8. Legal & Compliance: Privacy policy and GDPR/CCPA status, regulatory licenses, trademarks, terms of service, insurance (D&O, E&O, cyber).

Stage-Specific Scoping

  • Pre-seed / Seed: Focus on sections 1, 2, 3 (lighter — 3-6 months of financials), and 7 (team). Product and legal can be thinner. No 409A yet is fine.
  • Series A: All sections expected. Monthly financials for 12+ months. Solid metrics dashboard. Airtight IP assignment. Current 409A required.
  • Post-term sheet DD: Everything above, plus items the lead investor's counsel specifically requests. Corporate governance gets scrutinized here.

Folder Structure

/01-Corporate           /05-Product-and-Technology
/02-Cap-Table-Equity    /06-Contracts-Customers
/03-Financials          /07-Team-HR
/04-Metrics-KPIs        /08-Legal-Compliance
                        /09-Pitch-Materials

Access Control

  • Pre-term sheet: Share pitch materials, metrics dashboard, financial summary, team bios. Hold back contracts, full cap table, legal docs.
  • Post-term sheet: Open the full room. Require an NDA before sharing customer contracts or detailed financials.
  • Watermark PDFs with the investor's name. Use link-level analytics (DocSend) to track what gets opened.

Red Flags That Kill Deals

  • Cap table inconsistencies between the table and signed documents.
  • Missing IP assignment agreements for contractors who built core product.
  • Stale or missing 409A when options have been granted.
  • Financial statements that don't reconcile with bank statements.
  • Non-standard founder vesting without board approval documentation.

Related Skills

  • pitch-deck — the deck is the top-of-funnel; the data room is the supporting evidence
  • investor-research — knowing which investors are in the pipeline helps prioritize what to prepare first

Examples

Example prompt: "We just got a term sheet for our Series A. What do I need in my data room?"

Good output approach: Generate the full 8-section checklist scoped for confirmatory DD. Cross-reference against startup context to pre-fill what likely exists. Flag highest-risk items (cap table accuracy, IP assignments, 409A currency). Recommend a folder structure and 2-4 week timeline.

Example prompt: "I'm about to start fundraising for our seed round. Should I set up a data room now?"

Good output snippet:

Yes — a proactive data room signals operational maturity. For seed, focus on: - Clean cap table export (Carta or Pulley, not a spreadsheet) - Certificate of Incorporation and amendments - 6-month financial summary (revenue, burn, bank balance) - IP assignment agreements for all founders and contractors - Monthly KPI dashboard (MRR, user count, growth rate)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.93%
按下载量换算86

Claude

30.98%
按下载量换算77

Cursor

16.64%
按下载量换算41

Gemini CLI

8.36%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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来源信息

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