gbsoss/skill-from-masters
Stand on the shoulders of giants — Create AI skills built on proven methodologies from domain experts.
npx skills add gbsoss/skill-from-mastersREADME
Skill From Masters
Stand on the shoulders of giants — Create AI skills built on proven methodologies from domain experts.
A skill that helps you discover and incorporate frameworks, principles, and best practices from recognized masters before generating any new skill. Works with Claude Code, Codex, and other AI agent platforms.
Why This Skill?
The hard part of creating a skill isn't the format — it's knowing the best way to do the thing.
Most professional domains have masters who spent decades figuring out what works:
- Jobs on product, hiring, and marketing
- Bezos on writing (6-pager) and decision-making
- Munger on mental models
- Chris Voss on negotiation
This skill surfaces their methodologies before you write a single line, so your skill embodies world-class expertise from day one.
How It Works
1. You: "I want to create a skill for user interviews"
2. Skill-from-masters:
├── Checks local methodology database
├── Searches web for additional experts
├── Finds golden examples of great outputs
├── Identifies common mistakes to avoid
└── Cross-validates across sources
3. Surfaces experts:
- Rob Fitzpatrick (The Mom Test)
- Steve Portigal (Interviewing Users)
- Nielsen Norman Group best practices
4. You select which methodologies to incorporate
5. Extracts actionable principles from primary sources
6. Hands off to skill-creator to generate the final skill
Key Features
| Feature | Description |
|---|---|
| 3-Layer Search | Local database → Web search for experts → Deep dive on primary sources |
| Golden Examples | Finds exemplary outputs to define quality bar |
| Anti-Patterns | Searches for common mistakes to encode "don't do this" |
| Cross-Validation | Compares multiple experts to find consensus and flag disagreements |
| Quality Checklist | Verifies completeness before generating |
Methodology Database
The skill includes a curated database covering 15+ domains:
| Domain | Example Experts |
|---|---|
| Writing | Barbara Minto, William Zinsser, Amazon 6-pager |
| Product | Marty Cagan, Teresa Torres, Gibson Biddle |
| Sales | Neil Rackham (SPIN), Challenger Sale, MEDDIC |
| Hiring | Laszlo Bock, Geoff Smart, Lou Adler |
| User Research | Rob Fitzpatrick, Steve Portigal, JTBD |
| Engineering | Martin Fowler, Robert Martin, Kent Beck |
| Leadership | Kim Scott, Ray Dalio, Andy Grove |
| Negotiation | Chris Voss, Fisher & Ury |
| Startups | Eric Ries, Paul Graham, YC |
| Decision Making | Jeff Bezos, Charlie Munger, Annie Duke |
Plus an "Oral Tradition" section for experts who share primarily through talks and interviews (Steve Jobs, Elon Musk, Jensen Huang, Patrick Collison, etc.)
Installation
Option 1: Clone directly (Recommended)
# Navigate to your skills directory
cd ~/.claude/skills # Claude Code
# or your platform's skills path
# Clone this skill
git clone https://github.com/anthropics/skill-from-masters.git
Option 2: Manual installation
- Download the
skill-from-mastersfolder - Place it in your skills directory
Dependency
This skill works with skill-creator. Make sure skill-creator is available in your environment.
Usage
The skill automatically activates when you ask to create a new skill. It runs before skill-creator to ensure your skill is built on proven methodologies.
Example Session
You: "Help me create a skill for writing product requirement documents"
Skill-from-masters:
Let me search for the best methodologies on PRD writing.
[Searches: "PRD best practices expert", "product requirements document methodology"]
I found several strong frameworks:
Product Management:
- Marty Cagan: Problem-first PRDs, separating problem space from solution space
- Teresa Torres: Outcome-focused requirements
Business Writing:
- Barbara Minto: Pyramid Principle - lead with conclusion, MECE structure
- Amazon: Working backwards, 6-pager narrative format
Golden Examples Found:
- Intercom's public PRD template
- Linear's product spec format
Common Mistakes:
- Jumping to solutions before defining the problem
- Writing for engineers instead of for alignment
- Missing success metrics
Which approaches resonate? Or should I search deeper into any of them?
You: "I like Amazon's approach combined with Cagan's problem-first thinking."
Skill-from-masters: [Fetches primary sources on Amazon's methodology, extracts principles, then generates skill via skill-creator]
Skills
This repository contains the following skills:
| Skill | Description |
|---|---|
| skill-from-masters | Create new skills based on proven methodologies from domain experts. |
| **[search-skill](skills/search-skill/SKILL |
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