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Investor Materials

CommunityPopular
affaan-m
investor-materials

Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.

Overview

Publisheraffaan-m
RepositoryECC
Skill nameinvestor-materials
Stars
270.2K
Forks
40.4K
Bundled files
1
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by affaan-m on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/affaan-m/ECC/tree/main/.agents/skills/investor-materials
  4. 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.
2

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/affaan-m/ECC.git /tmp/ECC
mkdir -p .claude/skills
cp -r /tmp/ECC/.agents/skills/investor-materials .claude/skills/investor-materials
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Investor Materials 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 Investor Materials 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 Investor Materials 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.

Investor Materials

Build investor-facing materials that are consistent, credible, and easy to defend.

When to Activate

  • creating or revising a pitch deck
  • writing an investor memo or one-pager
  • building a financial model, milestone plan, or use-of-funds table
  • answering accelerator or incubator application questions
  • aligning multiple fundraising docs around one source of truth

Golden Rule

All investor materials must agree with each other.

Create or confirm a single source of truth before writing:

  • traction metrics
  • pricing and revenue assumptions
  • raise size and instrument
  • use of funds
  • team bios and titles
  • milestones and timelines

If conflicting numbers appear, stop and resolve them before drafting.

Core Workflow

  1. inventory the canonical facts
  2. identify missing assumptions
  3. choose the asset type
  4. draft the asset with explicit logic
  5. cross-check every number against the source of truth

Asset Guidance

Pitch Deck

Recommended flow:

  1. company + wedge
  2. problem
  3. solution
  4. product / demo
  5. market
  6. business model
  7. traction
  8. team
  9. competition / differentiation
  10. ask
  11. use of funds / milestones
  12. appendix

If the user wants a web-native deck, pair this skill with frontend-slides.

One-Pager / Memo

  • state what the company does in one clean sentence
  • show why now
  • include traction and proof points early
  • make the ask precise
  • keep claims easy to verify

Financial Model

Include:

  • explicit assumptions
  • bear / base / bull cases when useful
  • clean layer-by-layer revenue logic
  • milestone-linked spending
  • sensitivity analysis where the decision hinges on assumptions

Accelerator Applications

  • answer the exact question asked
  • prioritize traction, insight, and team advantage
  • avoid puffery
  • keep internal metrics consistent with the deck and model

Red Flags to Avoid

  • unverifiable claims
  • fuzzy market sizing without assumptions
  • inconsistent team roles or titles
  • revenue math that does not sum cleanly
  • inflated certainty where assumptions are fragile

Quality Gate

Before delivering:

  • every number matches the current source of truth
  • use of funds and revenue layers sum correctly
  • assumptions are visible, not buried
  • the story is clear without hype language
  • the final asset is defensible in a partner meeting

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Investor Materials AI skill do?

Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.

Why use Investor Materials on TypingMind?

Because you install it once and use it with any model. Investor Materials 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 Investor Materials in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/affaan-m/ECC/tree/main/.agents/skills/investor-materials. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Investor Materials?

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 Investor Materials?

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

Is the Investor Materials AI skill free?

Yes. It is published on GitHub by affaan-m 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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