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Startup Context

Community
shawnpang
startup-context

When the user wants to create or update their startup context document. Also use when the user mentions "set up context", "tell you about my startup", or any other skill needs context that doesn't exist yet.

Overview

Publishershawnpang
Repositorystartup-founder-skills
Skill namestartup-context
Stars
368
Forks
43
Bundled files
Instructions only
LicenseMIT
Links
  • 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 shawnpang on GitHub. Read the source before you install it.

Installation

Install the Startup Context 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/shawnpang/startup-founder-skills/tree/main/skills/startup-context
  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/shawnpang/startup-founder-skills.git /tmp/startup-founder-skills
mkdir -p .claude/skills
cp -r /tmp/startup-founder-skills/skills/startup-context .claude/skills/startup-context
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Startup Context 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 Startup Context 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 Startup Context 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.

Startup Context

This is the foundation skill. Every other skill reads this context first to produce tailored, specific output instead of generic advice.

When to Use

  • First time a user runs any skill and no context file exists
  • When the user says "let me tell you about my startup" or similar
  • When any skill detects missing context and needs to gather it

Workflow

  1. Check for existing context — look for .agents/startup-context.md in the project root
  2. If missing, interview the founder — ask the questions below, one section at a time
  3. Generate the context file — write structured markdown to .agents/startup-context.md
  4. Keep it updated — when the user shares new info that changes context, update the file

Context Document Structure

markdown
# Startup Context

## Company
- **Name:**
- **One-liner:** (what you do in one sentence)
- **Stage:** (idea / pre-seed / seed / series A / series B / growth)
- **Founded:** (date)
- **Location:** (city/remote)
- **Legal entity:** (Delaware C-Corp, LLC, etc.)

## Product
- **What it does:** (2-3 sentences)
- **Category:** (e.g., developer tools, fintech, healthtech)
- **Platform:** (web app, mobile, API, desktop, hardware)
- **Tech stack:** (languages, frameworks, infra)
- **Current state:** (idea, prototype, beta, launched, scaling)

## Market
- **Target customer:** (who buys / who uses — be specific)
- **ICP:** (ideal customer profile — industry, size, role, pain)
- **TAM/SAM/SOM:** (if known)
- **Competitors:** (top 3-5, how you differ)
- **Positioning:** (why you vs alternatives)

## Business Model
- **Revenue model:** (SaaS, usage-based, marketplace, etc.)
- **Pricing:** (current pricing or planned)
- **Current MRR/ARR:** (if applicable)
- **Key metrics:** (the 3-5 numbers you track most)

## Team
- **Founders:** (names, roles, backgrounds)
- **Team size:**
- **Key hires needed:**
- **Advisors/board:**

## Fundraising
- **Total raised:**
- **Last round:** (amount, date, lead investor)
- **Current runway:** (months)
- **Next raise:** (target amount, timeline, what it's for)

## Goals
- **Next 3 months:**
- **Next 12 months:**
- **Biggest challenge right now:**

Interview Questions

If no context exists, ask these in order (group related questions, don't ask all at once):

Round 1 — The basics:

  • What does your startup do? Who is it for?
  • What stage are you at? (idea through scaling)
  • What's your business model?

Round 2 — Market & traction:

  • Who's your ideal customer? Be as specific as you can.
  • Who are your main competitors? What's different about you?
  • What traction do you have? (users, revenue, waitlist, LOIs)

Round 3 — Team & resources:

  • Who's on the team? What are their backgrounds?
  • How much have you raised? What's your runway?
  • What are you trying to accomplish in the next 3 months?

Output

Write the completed context to .agents/startup-context.md and confirm with the user.

Notes

  • Keep this document factual, not aspirational — other skills need accurate context
  • Update it whenever the user shares new information (new hire, funding, pivot, etc.)
  • If a field is unknown, mark it as "TBD" rather than guessing

Frequently asked questions

What does the Startup Context AI skill do?

When the user wants to create or update their startup context document. Also use when the user mentions "set up context", "tell you about my startup", or any other skill needs context that doesn't exist yet.

Why use Startup Context on TypingMind?

Because you install it once and use it with any model. Startup Context 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 Startup Context in TypingMind?

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

Which AI models can use Startup Context?

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 Startup Context?

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

Is the Startup Context AI skill free?

Yes. It is published on GitHub by shawnpang 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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