name	description
solo-unicorn-builder	Free, open-source AI command center for engineers who've never shipped end-to-end. 36 AI-powered skills spanning engineering, product, marketing, sales, finance, and operations — AI fills the gaps between your specialty and everything else it takes to go from requirement to production.

Solo Unicorn Builder

You're great at your specialty. But you've never shipped an application end-to-end — because someone else always handled the parts outside your lane.

Solo Unicorn Builder is a free, open-source command center that gives you 36 AI-powered skills — spanning engineering, product, marketing, sales, finance, legal, and operations. AI fills the gaps between your expertise and everything else it takes to go from requirement to production.

Who This Is For

Engineers and technical specialists who can do their job — but have never carried an application from requirement to production on their own. You're a frontend engineer who's never set up a CI/CD pipeline. A backend developer who's never written a PRD. A DevOps specialist who's never validated a product idea. A PM who's never deployed to the cloud.

You're good at what you do. But the work outside your specialty — requirements gathering, design, testing, deployment, marketing, legal, finance — was always someone else's job. That gap is what keeps you from building something end-to-end.

Solo Unicorn Builder fills that gap with AI. You bring the expertise in your domain. AI covers the rest — so you can finally ship the whole thing, not just your piece of it.

Your AI-Augmented Team

The 36 skills are organized as an "Office" — each role is an AI-powered expert you can call on:

Role	What it does for you	Example skills
CTO	Architect, build, test, deploy	multi-file-architecture, test-first-development, docker-expert, mcp-builder, webapp-testing
CPO	Define what to build and for whom	product, idea-validation, pm-design-thinking, frontend-ui-ux
CMO	Position, brand, reach your audience	marketing-brand, go-to-market, growth-analytics, generative-art
CRO	Grow revenue, build partnerships	sales, business-development, business-model
CFO	Manage costs, plan finances	finance-accounting, fundraising, aws-cli-architect
COO	Run operations, build your career	operations, career-resume, portfolio-strategy, document-creation

You don't need to hire a team. You need to ask the right questions — and let AI handle the execution. Full list of 36 skills →

Why This Exists

Here's the real problem:

• Specialization created blind spots. You've spent years going deep in one area. But shipping a product requires breadth — requirements, architecture, testing, deployment, marketing, legal, finance. Nobody taught you the other 80%.
• AI can fill the gaps — but only with structure. A chatbot can answer questions. It can't guide you through a product launch, a deployment pipeline, or a fundraising round — unless it has a framework for each one.
• Your thinking is scattered. A thread in ChatGPT, a conversation in Claude, notes in one app, code in another. Nothing connects.

Solo Unicorn Builder gives you 36 structured skills, a knowledge vault, and a project workspace — so AI can operate as your team across every function you've never done before.

What You Get

When you clone this project, you get:

• 36 AI-powered skills — Not just coding. Product development, sales, marketing, legal, finance, operations, and more. Just describe what you need and the AI applies the right expertise. Full list →
• A private knowledge vault — Your ideas, notes, goals, technical decisions, and learning in one place. Never checked into the public repo. Ships with template_knowledge/ as a starter — copied to your private my_knowledge/ on init.
• Starter projects you can build on — template_projects/ ships with example projects (like the landing page template) so you're not starting from zero. Your own work lives in my_projects/ — build and ship real projects with AI-assisted workflows. A "project" can be anything: a blog post, a marketing research brief, a deployed web application, or an automated workflow.
• AI agent vendor-agnostic — Works with any CLI coding agent: Claude Code, Gemini CLI, Kiro CLI, Codex CLI, OpenCode, or any tool that reads markdown. No vendor lock-in. Compare agents →

Start Here

1. Check Prerequisites

Before cloning, make sure you have the required tools. Read the Prerequisites Guide →

TL;DR: Install Docker Desktop. Everything else runs inside a container.

2. Clone and Set Up

# Clone the project
git clone https://github.com/pingwu/solo-unicorn.git
cd solo-unicorn

3. Start Your AI Coding Agent

Then start your CLI coding agent and tell it: "Run the init unicorn setup" — it will create your personal knowledge vault and connect the skills.

Your first three moves:

1. "Build me a personal landing page" → ship your first project using AI-paired development
2. "Help me validate this idea" → the AI uses idea-validation and product to pressure-test before you build
3. Contribute back → participate in the Solo Unicorn Builder project itself. Contributing to an open-source AI-native platform proves you can ship across multiple roles.

Or follow the manual setup in INIT_UNICORN.md.

Grow With Your Ambition

Solo Unicorn Builder meets you where you are — and scales with you.

Stage	You're saying...	How it helps...
Learning the gaps	"I've never done deployment / product / marketing"	AI walks you through each discipline with structured skills
Building end-to-end	"I want to ship something from scratch to production"	Architecture, testing, debugging, CI/CD, deployment
Launching	"I have something — now I need users"	Validate ideas, define your product, go to market
Growing	"I need to understand the business side"	Revenue models, partnerships, legal, finance, operations
Getting hired	"I want to prove I can build end-to-end with AI"	Portfolio projects, resume tailoring, GitHub presence

Context Engineering in Practice

The industry calls it context engineering. We've been doing it since before the term existed.

When you use ChatGPT or Claude through their web apps, your thinking is scattered across chat threads locked in a vendor's data center. Switch providers, and you start from zero. Solo Unicorn Builder takes the opposite approach: your context is your codebase. Local markdown files, version-controlled, searchable, portable, and yours.

Three layers make this work:

• Skills (skills/) — 36 structured prompting patterns that give the AI domain expertise
• Instructions (CLAUDE.md → UNICORN_CONSTITUTION.md) — cascading rules that shape agent behavior
• Knowledge (my_knowledge/) — your daily writing, research, ideas, and goals — the layer only you can build

The knowledge layer is the foundation. A daily practice of collecting thoughts, capturing external knowledge, and organizing it into folders that form a personal knowledge graph. Over time, the AI doesn't just answer questions — it reasons about your specific situation, because your accumulated context is always available.

Because your context is plain files — not locked inside any vendor — you can run the same knowledge, the same skills, and the same instructions through different models. Ask Claude Code to architect a feature, then ask Gemini CLI to review it, then ask Kiro CLI to deploy it. Each model brings different strengths and different blind spots. Same context, multiple perspectives. That's something you can't do when your history is trapped in a single provider's chat threads.

This is the same practice the author used to write Just Ask — a business novel where the protagonist discovers that the technology is never the variable; the context is. Read the full story →

The Things AI Can't Do for You

1. Ask your Why — What is your core value? What are your ultimate goals?
2. Listen to your audience, build trust — Whether 1:1 or 1:many.
3. Do and implement with meaningful impact — Without 1 and 2, building is just busyness.

AI handles the heavy lifting. You handle the asking, listening, and trust-building. Read more →

Contribute Your Skills

This is a community project. If you've solved a real problem for real people, package it as a skill and share it. How to contribute →

Learn More

• Prerequisites — Tools you need (or just use Docker)
• Skills Reference — All 36 skills, organized by stage and category
• Coding Agents — Compare Claude Code, Gemini CLI, Kiro CLI, OpenCode, and more
• Context Engineering — Why your context shouldn't live in a vendor's data center
• Philosophy — The Ask, Listen, Do framework
• Contributing — How to add your own skills
• PING BOS on YouTube — Tutorials and walkthroughs

Attribution

• Framework based on Just Ask by Pinghsien Wu (to be published early March, 2026; To request a copy just ask ask@ping-ai.com)
• Skills architecture inspired by Anthropic's knowledge-work-plugins — an open-source framework for AI-augmented knowledge work.

License

MIT