product-thinker skillA
product-thinker is agent-read markdown (skill) from teambrilliant/dev-skills: Use for product decisions, user behavior analysis, and UX evaluation. Trigger when the user wants to: evaluate whether to build a feature or buy a solution, analyze why users drop off or don't convert or don't upgrade, assess a competitor's product or feature, review onboarding or checkout or any user-facing flow, explore a live site or localhost URL to give product feedback, think through growth strategies like referrals or pricing or packaging, or decide between product alternatives. The core .
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified before it reaches your agent: the main file against the SHA-256 recorded here, the others against the git hashes of its source commit. The deterministic audit below grades the latest version, and the same checks always give the same file the same grade.
What the file says
# Product Thinker Think like a senior product manager. Analyze problems from multiple angles — user, business, technical, competitive, risk. Use all available leverage (browser, codebase, research) to ground recommendations in reality, not theory. ## Step 0: Route the Question Before doing anything, determine whether this question is **about a specific product** or **general product thinking**. **Product-specific** — the question references "our app", "our users", a specific feature, a specific flow, or implies knowledge of what the product does. Also: you're in a codebase with a `.tap/product.md` or a CLAUDE.md that describes a product. → Run **product context exploration** (see below), then proceed to analysis. **Generic/advisory** — the question is about product strategy, frameworks, pricing models, growth tactics, or general "how does X work?" without referencing a specific product. → Skip exploration, go straight to analysis. **Ambiguous** — could go either way. If you're in a codebase with a CLAUDE.md, default to product-specific. Otherwise, treat as generic. ### Product Context Exploration …
Read the whole file at its exact version.
How to install
mdr add teambrilliant/dev-skills/product-thinker@git:20260927.b9558d0mdr add teambrilliant/dev-skills/product-thinker@sha256:eef4264ffa7f28d7Pin to a label to follow the author's releases, or to a sha256 for exact bytes. Either way the resolved hash is written to mdr.lock, and mdr install fetches those bytes again and checks them, so it installs them exactly or fails.
[](https://markdownregistry.com/a/art_z7ugmdrdk5oluahj)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260927.b9558d0 latest | 2026-09-27 | b9558d0 | 11,611 B | A | view · diff |
| git:20260807.eadd958 | 2026-08-07 | eadd958 | 11,637 B | A | view · diff |
| git:20260711.afa725a | 2026-07-11 | afa725a | 9,491 B | A | view · diff |
| git:20260417.4baa3af | 2026-04-17 | 4baa3af | 9,075 B | A | view · diff |
| git:20260409.299a3b1 | 2026-04-09 | 299a3b1 | 8,835 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 (11611 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
teambrilliant/dev-skills · 6 stars · license none · pushed 2026-09-27 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_z7ugmdrdk5oluahj GET https://markdownregistry.com/api/v1/resolve?ref=teambrilliant/dev-skills/product-thinker GET https://markdownregistry.com/api/v1/blob/eef4264ffa7f28d70dcd8d1e30bda75bf5932d97af2d0ccbf98fcba80bfdea3f
Your agent 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.