Sequoia Investment Framework Skill for Openclaw

A professional decision-making engine that applies Sequoia Capital legendary investment logic to analyze business models, markets, and founders.

xiejianjun000
v1.0.0
Apr 6, 2026
0
828
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install sequoia-investment-framework

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install sequoia-investment-framework using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Sequoia Investment Framework Skill?

The Sequoia Investment Framework skill brings the sophisticated mental models of one of the world most successful venture capital firms to your AI coding agent. It focuses on a market-first philosophy, asserting that a large, growing market is a prerequisite for building a massive company. By integrating this skill through Openclaw Skills, you can transform raw business data into structured investment insights based on decades of proven financial success.

This framework evaluates opportunities across five core dimensions: Market Priority, Founder Capability, Timing, Unit Economics, and Ecosystem Thinking. It serves as a rigorous cognitive consultant for anyone involved in high-stakes business decisions, providing a systematic way to identify potential home runs while avoiding common pitfalls like poor unit economics or misaligned market timing.

Sequoia Investment Framework Skill Use Cases

  • Performing due diligence for venture capital or private equity investment decisions.
  • Developing fundraising strategies for startup founders to align with tier-one VC expectations.
  • Evaluating competitive landscapes and market concentration for new product launches.
  • Assessing founder capabilities and team dynamics during the hiring or investment process.
  • Stress-testing business models using the LTV/CAC and unit economics principles.

How Sequoia Investment Framework Skill Works

  1. Input the business profile, market data, or pitch deck information into the agent utilizing Openclaw Skills.
  2. The skill triggers the Market First model to verify if the TAM exceeds 10 billion dollars and growth exceeds 30%.
  3. Founder capabilities are assessed across the Three-Power Model: Vision, Execution, and Learning capacity.
  4. The Unit Economics engine calculates LTV/CAC ratios and checks for sustainable growth signals.
  5. A Timing Matrix is generated to determine if the market penetration is in the sweet spot of 5% to 15%.
  6. The agent outputs a comprehensive investment report including a heuristic-based checklist and red flag alerts.

Sequoia Investment Framework Skill Setup

To integrate this framework into your local environment using Openclaw Skills, follow these steps:

# Navigate to your agent skills directory
cd my-agent/skills

# Pull the Sequoia Investment Framework repository
git clone https://github.com/openclaw/sequoia-investment-framework.git

# Configure the analysis parameters
cp .env.example .env

# Initialize the skill within your agentic workflow
openclaw skills install ./sequoia-investment-framework

Sequoia Investment Framework Skill Data Schema & Taxonomy

The skill organizes its analysis into a structured format for easy integration with other Openclaw Skills data streams:

Module Data Points Tracked Output Type
Market Analysis TAM, CAGR, Concentration, Change Drivers Markdown Report
Founder Evaluation Vision Score, Execution History, Learning Agility JSON Object
Financial Health LTV, CAC, Retention Rate, Gross Margin CSV/Table
Strategic Fit Network Effects, Ecosystem Synergies, Timing Matrix Visualization Map

Sequoia Investment Framework Skill Advanced Features

  • Automated 24-hour decision window alerts for high-velocity investment opportunities.
  • Multi-agent simulation protocols that mimic a Sequoia partner meeting for consensus-based decision making.
  • Background check automation hooks to verify founder integrity and historical performance with external data sources.
  • Ecosystem synergy mapping to identify how a new entity fits into an existing network of Openclaw Skills or portfolio companies.

SKILL.md


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