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Install in OpenClaw
/install tam-sam-som
Description
Produce a rigorous, sourced TAM/SAM/SOM market sizing for any product or business. Use this skill whenever a user asks about market size, total addressable m...
Usage Guidance
This skill appears internally consistent and low-risk: it only contains prose instructions and example templates for doing market sizing and asks for no credentials or installs. Before relying on outputs, check the agent's cited sources (some recommended sources are paywalled or subscription-based) and validate the skill's key assumptions (ACV anchors, penetration rates, filters) against primary data. If you will run market sizing on confidential internal products or use organization credentials, confirm the agent/tooling used to fetch data is allowed to access those resources — the skill itself does not request any secrets.
Capability Assessment
Purpose & Capability
Name/description match the SKILL.md: the skill explains step-by-step how to produce TAM/SAM/SOM analyses and provides example templates for B2B SaaS, B2B physical, and B2C. It requires no binaries, env vars, or installs — all of which are appropriate for an instruction-only market-sizing skill.
Instruction Scope
The SKILL.md instructs the agent to load local example files, classify the product, perform bottom-up and top-down searches, and explicitly collect and cite external data sources. This scope is appropriate for market sizing, but the agent will need web access and may encounter paywalled sources; the guidance to 'collect enough reliable data' is broad and gives the agent discretion in source selection, so users should verify cited sources and assumptions in outputs.
Install Mechanism
No install spec and no code files — lowest-risk form. Nothing is downloaded or written to disk by the skill itself.
Credentials
The skill requests no environment variables, credentials, or config paths. All required data comes from public sources or the included example files, which is proportionate to the described functionality.
Persistence & Privilege
always is false and the skill does not request special privileges or persistent system changes. Autonomous invocation is allowed (platform default) but not combined with elevated privileges or secret access.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tam-sam-som - After installation, invoke the skill by name or use
/tam-sam-som - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
**Initial skill release with structured, sourced market sizing outputs.**
- Provides rigorous TAM/SAM/SOM estimates using both bottom-up and top-down methodologies for any product/business category.
- Requires pre-classification by business model and geography to select appropriate data sources and pricing anchors.
- Mandates checking category-specific worked examples for calibration before calculation.
- Documents all filtering logic, assumptions, and reconciles methodological differences between approaches.
- Outputs explicit math, data sources, filter reductions, and a clearly explained range for each market size tier.
- Includes real-world, auditable example files for B2B SaaS, B2B physical goods, and B2C consumer brands.
Metadata
Frequently Asked Questions
What is market-sizing?
Produce a rigorous, sourced TAM/SAM/SOM market sizing for any product or business. Use this skill whenever a user asks about market size, total addressable m... It is an AI Agent Skill for Claude Code / OpenClaw, with 135 downloads so far.
How do I install market-sizing?
Run "/install tam-sam-som" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is market-sizing free?
Yes, market-sizing is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does market-sizing support?
market-sizing is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created market-sizing?
It is built and maintained by owenrao (@owenrao); the current version is v1.0.0.
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