getagentseal/founder-playbook
15 proven business books distilled into AI-native skills. Works with Claude Code, ChatGPT, Gemini, Cursor.
Founder Playbook is a collection of 15 "skills" (plus one router skill called diagnose) that distill well-known business books into bite-sized, structured reference documents designed for AI assistants like Claude, ChatGPT, or Gemini. Instead of 300-page books full of anecdotes, each skill contains the decision trees, frameworks, scoring checklists, case studies, and fill-in templates from a single book. The goal is not to summarize — it's to give an AI the usable parts of each book so it can actually apply them to a founder's problems.
What problem does it solve?
Business books contain useful frameworks, but they're buried in long stories. You read a book, highlight 20 pages, and forget the frameworks six months later. This project extracts the actionable core and formats it so an LLM can pull it up and use it live — for example, when you ask "Should we pivot?" the AI loads The Lean Startup skill and walks you through its Build-Measure-Learn framework.
What's inside
| Skill | Source book | Use it when... |
|---|---|---|
diagnose |
(meta-skill) routes across all 15 | You don't know where to start, have multiple problems, or "nothing is working" |
mom-test |
The Mom Test — Rob Fitzpatrick | Customer interviews, validating ideas without leading questions |
four-steps |
The Four Steps to the Epiphany — Steve Blank | Finding first customers, Customer Development, Market Type |
lean-startup |
The Lean Startup — Eric Ries | Build-Measure-Learn, MVPs, pivots, innovation accounting |
obviously-awesome |
Obviously Awesome — April Dunford | Positioning, category choice, competitive context |
crossing-the-chasm |
Crossing the Chasm — Geoffrey Moore | Tech adoption, beachhead strategy, mainstream scaling |
blue-ocean-strategy |
Blue Ocean Strategy — Kim & Mauborgne | Category creation, escaping competition |
monetizing-innovation |
Monetizing Innovation — Ramanujam & Tacke | Pricing strategy, willingness-to-pay, product + price design |
spin-selling |
SPIN Selling — Neil Rackham | B2B sales, complex deals, multi-stakeholder selling |
100m-offers |
$100M Offers — Alex Hormozi | Offer design, packaging, making offers irresistible |
100m-leads |
$100M Leads — Alex Hormozi | Lead generation, advertising, outbound & inbound strategy |
money-models |
$100M Money Models — Alex Hormozi | Offer sequencing, upsells, downsells, making customer acquisition self-funding |
influence |
Influence — Robert Cialdini | Persuasion principles, negotiation, defense against manipulation |
traction |
Traction — Weinberg & Mares | Growth channels, Bullseye Framework, customer acquisition |
storybrand |
Building a StoryBrand — Donald Miller | Brand messaging, website copy, email campaigns, SB7 Framework |
made-to-stick |
Made to Stick — Heath & Heath | Making messages memorable, pitches, presentations, SUCCESs Framework |
How a skill is structured (progressive disclosure)
Each skill folder contains:
- SKILL.md — entry point (~250–500 lines). Decision trees, key frameworks, quick reference. This is all the AI loads by default.
- frameworks.md — detailed framework breakdowns; loaded when depth is needed.
- cases.md — real company case studies from the book.
- examples.md — templates, worksheets, worked examples.
- integration.md — how this skill relates to (and conflicts with) other skills.
This design means Claude reads only ~100 tokens per skill at startup (just the description), loads ~500 lines when a skill is triggered, and pulls supporting files only on demand.
What makes these different from book summaries
- Honest scope statements — each skill says what the book got wrong, what's outdated, and where it doesn't apply.
- Cross-skill conflict resolution — where two frameworks contradict (e.g., Blue Ocean vs. Obviously Awesome on niches), the conflict is named and resolved in
integration.md. - Modern relevance notes — frameworks from the '90s and 2000s are flagged where they don't apply to 2025+ contexts (PLG, AI-native products, privacy regulations).
- They're applied, not just read — structured reference documents with decision trees, scoring rubrics, and fill-in templates.
How to install and use
Quick install (Claude Code, etc.):
npx skills add getagentseal/founder-playbook
Manual install: clone the repo and symlink each skill folder into ~/.claude/skills/.
With Claude Code: it auto-triggers based on your question. For example:
- "What's wrong with my startup?" → loads
diagnose - "I'm interviewing customers tomorrow" → loads
mom-test - "Should we pivot?" → loads
lean-startup - "Which marketing channel should we use?" → loads
traction - "How do I price this?" → loads
monetizing-innovation
You can also invoke skills directly with slash commands like /lean-startup.
With ChatGPT, Gemini, or any other LLM: open the relevant SKILL.md file and paste it into your conversation. The YAML frontmatter is just metadata — every LLM ignores it and uses the content. For deeper detail, also paste frameworks.md, cases.md, or examples.md.
With Cursor, Windsurf, or Cline: drop the repo into your project's rules or docs folder; the AI references skills when relevant.
Recommended sequence (idea → scale)
diagnose— don't know where to start? Start here.four-steps— find customers and validate the business modellean-startup— Build-Measure-Learn iteration speedmom-test— how to talk to customers without biasing themobviously-awesome— position the product clearlystorybrand— clarify your message so customers listenmade-to-stick— make every message memorable and actionablemonetizing-innovation— design product + price together100m-offers— package the offer so it's irresistiblemoney-models— sequence offers so customers fund acquisitionspin-selling— close B2B dealscrossing-the-chasm— cross from early adopters to mainstreamblue-ocean-strategy— escape competition if commoditizingtraction— systematic channel selection (Bullseye Framework)100m-leads— tactical playbook for chosen channelsinfluence— persuasion principles throughout
Example use case
Ask your LLM: "I built an AI tool, talked to 30 people who said they love it, but zero have paid. What's wrong?"
Without the skills: generic advice about product-market fit.
With the skills: Claude loads Mom Test (those 30 people were probably being polite — here's what questions to ask instead), Four Steps (you skipped Customer Validation — here's the earlyvangelist pain hierarchy to score them), Lean Startup (your value hypothesis isn't validated — here's innovation accounting to measure real demand), and StoryBrand (your website probably talks about you instead of the customer's problem — here's the BrandScript to fix it).
Support the original authors
The README explicitly frames these skills as study aids and critical commentary — they help you apply what the books teach, not replace reading them. It includes a table with links to buy each of the 15 books.
License
MIT.
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