When the user wants to prepare a due diligence data room for fundraising, or when an investor has requested additional materials after a pitch.

MITAuto-check passedBusiness, Finance & HR

Install Data Room

skills CLI
$ npx skills add shawnpang/startup-founder-skills --skill data-room -a claude-code

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

GitHub CLI
$ gh skill install shawnpang/startup-founder-skills data-room --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/shawnpang/startup-founder-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/data-room .claude/skills/data-room && 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
data-room
GitHub stars
342
Token cost
~1.7k tokens
SKILL.md length
788 words
Files
1
Skills in repo
50
Repo updated
First seen
Licence
MIT

At a glance

When the user wants to prepare a due diligence data room for fundraising, or when an investor has requested additional materials after a pitch.

  • Works in 6 steps: Read startup context — Pull company… → Assess the DD stage — Determine if this… → Generate the checklist — Produce a… → …
  • Wants to prepare a due diligence data room for fundraising
  • SKILL.md covers When to Use, Context Required, Workflow and Output Format, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Data Room is an agent skill from shawnpang/startup-founder-skills. When the user wants to prepare a due diligence data room for fundraising, or when an investor has requested additional materials after a pitch. Also activates for "data room", "due diligence", "DD checklist", or "what documents do investors need?".

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Fundraising and pitch decks. The repository describes itself as: AI agent skills for tech startup founders — fundraising, sales, product, recruiting, engineering, legal, ops, and growth. Works with Claude Code, Cursor, Codex, and any Agent… The licence is MIT.

When your agent uses it

  • Wants to prepare a due diligence data room for fundraising
  • An investor has requested additional materials after a pitch

Example prompts

  • “data room”
  • “due diligence”
  • “DD checklist”
  • “/data-room”

Workflow steps

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

  1. Read startup context — Pull company details from .agents/startup-context.md to understand stage, entity type, and what documents should…
  2. Assess the DD stage — Determine if this is proactive prep (pre-pitch), initial DD (post-first meeting), or confirmatory DD (post-term…
  3. Generate the checklist — Produce a stage-appropriate checklist using the master framework below. Mark each item as: Exists, Needs Update…
  4. Audit existing materials — Review documents for completeness, staleness (financials older than 1 month), and red flags (missing…
  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.

What it can do on your machine

Read from SKILL.md and the folder at commit 4ad31b4. 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

Data Room loads about 1.7k tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 788 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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 shawnpang/startup-founder-skills at commit 4ad31b4, republished under its MIT licence (© shawnpang). 788 words, ~1,680 tokens.

Download SKILL.mdSave it as .claude/skills/data-room/SKILL.md (or your agent's skills folder).
name
data-room
description
When the user wants to prepare a due diligence data room for fundraising, or when an investor has requested additional materials after a pitch. Also activates for "data room", "due diligence", "DD checklist", or "what documents do investors need?".
related
pitch-deck, investor-research
reads
startup-context

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).

Show full SKILL.md (329 more words)Show less
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.
  • 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)

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

Files

Just SKILL.md in skills/data-room of shawnpang/startup-founder-skills.

Open the folder on GitHubat commit 4ad31b4

Compare with similar skills

Data Room 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.

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Startup Pitchferdinandobons/startup-skill1.2k—~6.4kAutomated safety check: PassMIT
Dd SourcingAbilityai/trinity634—~664Automated safety check: PassApache-2.0

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Questions about Data Room

What does Data Room do?

When the user wants to prepare a due diligence data room for fundraising, or when an investor has requested additional materials after a pitch. Data Room is an agent skill from shawnpang/startup-founder-skills. When the user wants to prepare a due diligence data room for fundraising, or when an investor has requested additional materials after a pitch.

When should I use Data Room?

Data Room fits situations like: wants to prepare a due diligence data room for fundraising; an investor has requested additional materials after a pitch.

How do I install Data Room in Claude Code?

Run `npx skills add shawnpang/startup-founder-skills --skill data-room -a claude-code`. Or copy the skill folder (skills/data-room in shawnpang/startup-founder-skills) into .claude/skills/data-room in your project. Claude Code loads it when a task matches its description.

How do I install Data Room in Codex?

Run `npx skills add shawnpang/startup-founder-skills --skill data-room -a codex`. Or copy the skill folder (skills/data-room in shawnpang/startup-founder-skills) into .agents/skills/data-room in your project. Codex loads it when a task matches its description.

Can I use Data Room 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 shawnpang/startup-founder-skills --skill data-room -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-room, .gemini/skills/data-room, .github/skills/data-room and .opencode/skills/data-room in your project.

What does Data Room need to run?

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

Does Data Room 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 Data Room 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 Data Room use?

Data Room 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 Data Room use?

About 1.7k tokens (SKILL.md is roughly 6.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Data Room?

Skills that share tags, products or a category with Data Room: Virtuals Protocol Acp (Virtual-Protocol/openclaw-acp, 168 stars), Yc Apply (pedronauck/skills, 634 stars), Storyline Builder (sruthir28/enterprise-ai-skills, 148 stars) and Startup Pitch (ferdinandobons/startup-skill, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Data Room?

shawnpang (a GitHub user) maintains it in shawnpang/startup-founder-skills, which has 342 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on March 16, 2026.

Source: shawnpang/startup-founder-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.