market-sizing-analysis SKILL.md skillA
market-sizing-analysis from dicklesworthstone/pi_agent_rust is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add dicklesworthstone/pi_agent_rust/market-sizing-analysis@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- dicklesworthstone/pi_agent_rust
- Path
tests/ext_conformance/artifacts/agents-wshobson/startup-business-analyst/skills/market-sizing-analysis/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Feb 5, 2026
- Size
- 12,284 bytes
- Repository stars
- 1,966
- License
- a license file GitHub does not identify
This skill should be used when the user asks to "calculate TAM", "determine SAM", "estimate SOM", "size the market", "calculate market opportunity", "what's the total addressable market", or requests market sizing analysis for a startup or business opportunity.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Market Sizing Analysis Comprehensive market sizing methodologies for calculating Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM) for startup opportunities. ## Overview Market sizing provides the foundation for startup strategy, fundraising, and business planning. Calculate market opportunity using three complementary methodologies: top-down (industry reports), bottom-up (customer segment calculations), and value theory (willingness to pay). ## Core Concepts ### The Three-Tier Market Framework **TAM (Total Addressable Market)** - Total revenue opportunity if achieving 100% market share - Defines the universe of potential customers - Used for long-term vision and market validation - Example: All email marketing software revenue globally **SAM (Serviceable Available Market)** - Portion of TAM targetable with current product/service - Accounts for geographic, segment, or capability constraints - Represents realistic addressable opportunity - Example: AI-powered email marketing for e-commerce in North America **SOM (Serviceable Obtainable Market)** - Realistic market share achievable in 3-5 years …
Read the whole file at its exact version.
How to install
mdr add dicklesworthstone/pi_agent_rust/market-sizing-analysis@sha256:f0011cf9f82091d1The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_4kmlzx4vlxmqwc4j)
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Versions
The registry has recorded 1 version of this file, committed on Feb 5, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (12284 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
dicklesworthstone/pi_agent_rust · 1,966 stars · license a license file GitHub does not identify · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_4kmlzx4vlxmqwc4j GET https://markdownregistry.com/api/v1/resolve?ref=dicklesworthstone/pi_agent_rust/market-sizing-analysis GET https://markdownregistry.com/api/v1/blob/f0011cf9f82091d16bfd8956aa50e74bcb28eed25e5c76baebfb1dbc2c8b23f4
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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