An expert market analysis tool for calculating defensible TAM, SAM, and SOM estimates using top-down, bottom-up, and triangulation methodologies.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install market-sizing
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install market-sizing 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 Market Sizing Skill?
The Market Sizing skill is a comprehensive analytical framework designed for Openclaw Skills users who need to provide rigorous, data-backed market estimations. It moves beyond simple guessing by enforcing a disciplined hierarchy—Total Addressable Market (TAM), Serviceable Addressable Market (SAM), and Serviceable Obtainable Market (SOM). This ensures that every estimate is grounded in reality and defensible during high-stakes business planning or investment rounds.
By leveraging this skill, analysts can synthesize multiple data points into a single, cohesive market outlook. The framework doesn't just provide a number; it provides a narrative. It accounts for geographic boundaries, customer segments, and product scope, allowing for nuanced sensitivity analysis that shows how different assumptions impact the final strategic conclusion.
Market Sizing Skill Use Cases
- Evaluating market entry decisions for new product launches.
- Generating defensible TAM SAM SOM figures for investor pitch decks.
- Conducting competitive analysis and business planning for specific geographic regions.
- Triangulating market data from disparate external sources to find a realistic range.
- Performing sensitivity analysis to understand how shifts in average revenue or player count affect total market value.
How Market Sizing Skill Works
- Define the market scope by setting clear boundaries for product, geography, and customer type.
- Execute a Top-Down analysis by starting with a known global total and subtracting irrelevant segments.
- Perform a Bottom-Up calculation by aggregating specific customer segments, average spend, and operating frequency.
- Conduct External Triangulation by gathering and comparing estimates from research reports and independent sources.
- Apply Sanity Checks, including the Feel-Right and Materiality tests, to ensure the data is logically sound.
- Generate a Reconciled Estimate that provides a range and a best-case figure rather than a single static number.
- Produce a Growth Outlook table featuring CAGR and year-over-year projections.
Market Sizing Skill Setup
To integrate this market estimation logic into your workflow, ensure your environment is configured for Openclaw Skills execution:
# Install the Openclaw CLI if not already present
npm install -g @openclaw/cli
# Add the market-sizing skill to your local agent
openclaw add market-sizing
# Trigger the analysis with specific parameters
openclaw run market-sizing --args "US Coffee Shop Market 2026"
Market Sizing Skill Data Schema & Taxonomy
The skill organizes market intelligence into a structured taxonomy to ensure consistency across reports:
| Component | Description | Data Type |
|---|---|---|
| Scope | Product, Geography, and Time Period definitions | Object |
| Hierarchy | TAM, SAM, and SOM values in USD | Currency |
| Methodology | Step-by-step logic for Top-Down and Bottom-Up models | List |
| Triangulation | Comparison of estimates across different sources | Table |
| Sensitivity | Impact of high/low case assumptions on the total | Matrix |
| Growth | 5-year projections and CAGR percentages | Timeseries |
Market Sizing Skill Advanced Features
- Multi-method Triangulation: Reconciles three different estimation approaches to reduce bias.
- Automated Sensitivity Testing: Instantly calculates Low Case and High Case scenarios based on variable shifts.
- Confidence Ranging: Assigns confidence scores (High/Medium/Low) to different data sources to weight the final estimate.
- Built-in Sanity Checks: Includes the Body Doubling test to verify findings against independent external datasets.
- Market Definition Hierarchy: Strictly enforces the nested relationship between TAM, SAM, and SOM for logical integrity.
SKILL.md
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