20VC Playbook — Claude Skill

20VC Playbook — Claude Skill

Apply the mental models, frameworks, and insights from 200+ episodes of 20VC directly inside Claude Code.

Synthesized from interviews with Marc Andreessen, Demis Hassabis, Sam Altman, the Klarna CEO, Monday.com CEO, ElevenLabs CRO, Sequoia / a16z / Coatue / Benchmark partners, and 100+ top founders and operators — all from 2024–2026.


What This Skill Does

When you're working on a startup challenge, this skill brings 200+ hours of the world's best founder and investor conversations directly into your Claude session:

ChallengeWhat you get
Designing a comp planElevenLabs' exact 20x quota + 5% commission + accelerator structure
Evaluating a competitorGokul's 8-moat scoring framework (score 4+ = secure)
Making a hard callOmission vs. commission error framework, Annie Duke's probabilistic thinking
Building GTMPortfolio construction thinking applied to market entry
Raising a roundThe "2 years ahead of provable valuation" rule
Deploying AI agentsWhat works (scoped, humanized) vs. what doesn't (AI SDR outbound)
Evaluating SaaS defensibilityThe Fortnite circle / shrinking island model
HiringMercenary vs. missionary detection, grit over credentials

Install in 30 Seconds

# Clone into your Claude skills directory
git clone https://github.com/sboghossian/20vc-claude-skill.git \
  ~/.claude/skills/20vc-playbook

That's it. The skill auto-loads next time you start Claude Code.


How to Use

Once installed, just talk to Claude normally. The skill triggers automatically when you're working on:

  • Sales compensation design, quota setting, accelerators
  • Competitive moat analysis
  • Fundraising decisions, valuation questions
  • GTM strategy, market entry, channel selection
  • Hiring and talent decisions
  • AI agent deployment strategy
  • Pricing and monetization
  • VC / investment frameworks
  • Founder wellbeing and sustainable performance

You can also invoke it explicitly:

/20vc-playbook

Or just ask naturally:

  • "How should I structure my sales comp plan?"
  • "Analyze the moats in my business"
  • "We're about to raise — how do I think about valuation?"
  • "Should I deploy AI SDRs for outbound?"

The 13 Frameworks Inside

#FrameworkSource
1Sales Compensation ArchitectureElevenLabs CRO, Figma CRO, Chad Peets
2Competitive Moat Analysis (8 Moats)Gokul Rajaram
3Decision-Making Under UncertaintyMarc Andreessen, Oren Zeev, Jerry Murdock
4Portfolio Construction ThinkingCarles Raina, Anduril, Mitchell Green
5Revenue Architecture for the AI EraElevenLabs, Figma, Datadog CROs
6AI Agent DeploymentOpenAI Codex Lead, Klarna, Monday.com
7Talent Architecture & HiringFigma CRO, Marc Andreessen, multiple founders
8Pricing & AI MonetizationJason Lemkin, Elena Verna, Klarna CEO
9Fundraising & Valuation DisciplineOren Zeev, Mitchell Green, Ali Ghodsi
10Brand & Trust as Growth InfrastructureElena Verna, Carles Raina
11VC / Investor Mental ModelsCoatue, Benchmark, a16z, Lead Edge
12SaaS vs. AI — Survival AnalysisJason Lemkin, Insight Partners, Monday.com CEO
13Sustainable Performance & LeadershipMultiple founders

Key Insights Baked In

On sales comp:

"For every $1M in revenues any single person signs, that's $3M in extra valuation. Pay accordingly." — Carles Raina, ElevenLabs CRO

On moats:

"If you have a score of four or more across the eight moats, you're pretty damn secure. If you have two or three, you're in trouble." — Gokul Rajaram

On decisions:

"The sins of omission are much more significant than the sins of commission." — Mitchell Green, Lead Edge Capital

On AI outbound:

"Outbound is dead unless you do it with humans or humanly. Response rates are below 0.01%." — Carles Raina

On fundraising:

"I never wanted to raise more than two years ahead of the valuation I was confident I could hit." — Ali Ghodsi, Databricks

On hiring:

"I haven't hired a B player. I don't have all the headcount I need, but I haven't hired a B player." — Figma CRO

On AI monetization:

"A company is genuinely AI if it charges for AI features AND shows 50%+ ARPO growth. Everything else is AI dust on analytics software." — Jason Lemkin


How It Was Built

  1. 199 YouTube transcripts downloaded from @20VC using yt-dlp
  2. ~15 million words of interview content processed and analyzed
  3. Themes extracted by frequency across the full corpus (2024–2026)
  4. Frameworks synthesized from the highest-signal recurring insights
  5. Packaged as a single Claude Code skill file

The corpus was analyzed programmatically — every number in this skill (episode frequency, framework prevalence) is derived from the actual transcript data.


Requirements

  • Claude Code (CLI or desktop app)
  • No API keys or additional setup needed

Contributing

Found a better quote? A framework that deserves its own section? PRs welcome.

If you use this skill and find it useful, ⭐ the repo — it helps others find it.


License

MIT — use it, fork it, build on it.


Built by analyzing the 20VC podcast corpus. Not affiliated with 20VC or Harry Stebbings.