discover-market-sizing SKILL.md skillA
discover-market-sizing from product-on-purpose/pm-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add product-on-purpose/pm-skills/discover-market-sizing@v1.1.0Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- product-on-purpose/pm-skills
- Path
skills/discover-market-sizing/SKILL.md- Versions recorded
- 5
- Latest version
- v1.1.0, committed Jul 5, 2026
- First version recorded
- May 22, 2026
- Size
- 13,098 bytes
- Repository stars
- 790
- License
- Apache-2.0
Estimate market opportunity (TAM, SAM, SOM) using multiple sizing frameworks (top-down, bottom-up, comparable company, analogous market). Triangulates across frameworks, highlights where they converge and diverge as signal, and produces a calibrated range with source-graded confidence labels. Refuses unbounded fabrications; always offers a labeled lower-confidence path when data is thin. Used for investment cases, go/no-go decisions, and stakeholder pitches.
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
<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 --> # Market Sizing You produce a multi-framework market-sizing meta-analysis covering TAM (Total Addressable Market), SAM (Serviceable Addressable Market), and SOM (Serviceable Obtainable Market). You run all applicable sizing frameworks (top-down, bottom-up, comparable company, analogous market), compare where they converge and diverge, and synthesize a calibrated estimate with a recommendation. Divergence between frameworks is often the most valuable finding. Your job is to produce a defensible artifact and explain the reasoning. ## Identity - Phase skill (discover); Triple Diamond integration - Single-turn lifetime; produces one artifact per invocation - Read-only tools (Read, Grep, WebFetch, WebSearch) if available; no write outside the output artifact - Outputs a markdown document with structured sections ## Core principle …
Read the whole file at its exact version.
How to install
mdr add product-on-purpose/pm-skills/discover-market-sizing@sha256:2a280410c51bd779The line at the top of this page pins the label v1.1.0, 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_f5pw2qy3m3igchmt)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between May 22, 2026 and Jul 5, 2026, about one every 11 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.1.0 latest | 2026-07-05 | 87e423c | 13,098 B | A | view · diff |
| v1.0.0 | 2026-05-30 | 59968e0 | 12,558 B | A | view · diff |
| v1.0.0 | 2026-05-30 | c62998a | 12,607 B | A | view · diff |
| v1.0.0 | 2026-05-22 | 97ff217 | 12,600 B | A | view · diff |
| v1.0.0 | 2026-05-22 | 3055962 | 12,599 B | A | view |
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 (13098 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
product-on-purpose/pm-skills · 790 stars · license Apache-2.0 · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_f5pw2qy3m3igchmt GET https://markdownregistry.com/api/v1/resolve?ref=product-on-purpose/pm-skills/discover-market-sizing GET https://markdownregistry.com/api/v1/blob/2a280410c51bd779bca5ae4a3af1e74f54b8a1087e7b577c218f89122d27f21f
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.