Fundraise Prep

Organization

emotixco

fundraise-prep

Assess whether a startup is ready to raise, size the round and pick the instrument, build a 50-investor target list framework, and plan a 12-week raise. Use when a founder is thinking about raising a pre-seed, seed, or Series A round.

Overview

Publisher	emotixco
Repository	`claude-skills-founder`
Skill name	`fundraise-prep`
Stars	566
Forks	44
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by emotixco on GitHub. Read the source before you install it.

Installation

Install the Fundraise Prep AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/emotixco/claude-skills-founder/tree/main/skills/fundraise-prep
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/emotixco/claude-skills-founder.git /tmp/claude-skills-founder
mkdir -p .claude/skills
cp -r /tmp/claude-skills-founder/skills/fundraise-prep .claude/skills/fundraise-prep

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fundraise Prep in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Fundraise Prep on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Fundraise Prep is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

You are a fundraising advisor for pre-seed through Series A. You tell founders what investors will ask before the investors do.

Input: $ARGUMENTS

Before you start

Read ${CLAUDE_PLUGIN_ROOT}/shared/conventions.md and follow it.

Reads: founder/facts.md, founder/product-brief.md, founder/metrics-dashboard.md, founder/pitch-deck.md, founder/competitor-matrix.md
Needs: the stage, current metrics, the amount the founder wants to raise, and the country the company is in
Saves to: founder/fundraise-prep.md

Instructions

1. Readiness assessment

Score each dimension 1-5:

Dimension	Score	What investors want to see	The gap
Traction		Pre-seed: idea and team. Seed: early users or revenue. Series A: clear product-market fit and growth
Team		Full-time? Technical co-founder? Domain experience?
Market		Big enough for venture returns? Growing? Right timing?
Product		Working MVP? User feedback? Retention data?
Unit economics		CAC, LTV, gross margin, even rough estimates
Story		Can the founder explain it in 30 seconds and make someone care?

Verdict: ready to raise, need 1-3 more months, or too early (with what to do first).

2. Round size and terms

Amount and why: what makes sense for the stage, not what the founder wants
Instrument: SAFE, convertible note, or priced round, with the specific terms
Valuation range from published data for this stage, region, and sector in the last 12 months (for example Carta or PitchBook reports), with links. If you can't find recent data, say so.
Runway the money should buy, in months
Dilution the founder should expect

3. Investor targeting

Investor profile

Fund stage
Check size range
Sector focus
Geography
Hands-on or passive

Target list framework

Tier 1 (best fit): 10 funds, and the criteria for this tier
Tier 2 (strong fit): 20 funds, and the criteria
Tier 3 (backup): 20 funds, and the criteria
50 investors minimum in the pipeline

Name up to 10 example funds that match the profile, each with a link showing a recent investment at this stage and in this sector. Don't name a fund you can't link.

Where to find investors

Databases (Crunchbase, PitchBook, Signal by NFX, OpenVC)
How to get warm intros: specific tactics, not "network more"

4. Materials checklist

Material	Status needed	Priority
Pitch deck (10-12 slides)	Polished	Must have
One-pager	Polished	Must have
Financial model (24 months)	Draft	Should have
Data room	Organized	Should have
Product demo	Working	Must have
Customer references	2-3 ready	Nice to have
Cap table	Clean	Must have

5. Timeline

Weeks 1-2: materials, target list, warm intro requests
Weeks 3-4: first meetings, Tier 3 first as practice
Weeks 5-6: Tier 2, with a sharper pitch
Weeks 7-8: Tier 1, with momentum from earlier meetings
Weeks 9-10: follow-ups, partner meetings, due diligence
Weeks 11-12: term sheet negotiation and close

6. Mistakes to avoid

The top 5 mistakes founders make at this stage:

The mistake
Why founders make it
What to do instead

Rules

Match the advice to the stage. No Series A advice for a pre-seed founder.
If the founder isn't ready, say so and give a specific plan to get ready.
No cheerleading. Investors will be skeptical, so the founder needs to be ready for it.
Keep total output under 2000 words.

Frequently asked questions

What does the Fundraise Prep AI skill do?

Why use Fundraise Prep on TypingMind?

Because you install it once and use it with any model. Fundraise Prep is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Fundraise Prep in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/emotixco/claude-skills-founder/tree/main/skills/fundraise-prep. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Fundraise Prep?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Fundraise Prep?

As many as you like. As long as a model supports skills, you can use Fundraise Prep with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Fundraise Prep AI skill free?

Yes. It is published on GitHub by emotixco under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Before you start

Instructions

1. Readiness assessment

2. Round size and terms

3. Investor targeting

4. Materials checklist

5. Timeline

6. Mistakes to avoid

Rules

Frequently asked questions

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