Home / fmind / dot · skills/product-loop/SKILL.md · GitHub

product-loop skillA

product-loop is agent-read markdown (skill) from fmind/dot: Guide product discovery, specification, launch, and learning with explicit build-or-stop decisions..

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 against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Product Loop

Move a product bet through discovery, specification, launch, and learning. Enter at the phase supported by the evidence and make the next decision; [implementation-plan](../implementation-plan/SKILL.md) owns repository execution planning.

## Workflow

1. **Recover the bet**: identify the user, painful job, proposed outcome, constraints, current evidence, and the decision being made.
1. **Select one phase** from the table; read its procedure and the relevant [brief](references/briefs.md), omitting sections that add no useful information.
1. **Test the premise**: distinguish observations, supplied evidence, inference, and assumptions; compare a smaller change and a credible no-build path.
1. **Define the decision**: choose a behavioral outcome, segment, time box, success threshold, guardrails, and evidence that would stop or reverse the plan.
1. **Close the phase** with the decision, its evidence, remaining uncertainty, and the smallest next step within the user's scope.

| Situation                                  | Read when needed                                                                         | Decision                                     |
…

Read the whole file at its exact version.

How to install

Latest version
mdr add fmind/dot/product-loop@git:20260919.4491844
Exact content
mdr add fmind/dot/product-loop@sha256:c16c8f70f4282bda

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ka3mtnv44h42ivbg.svg)](https://markdownregistry.com/a/art_ka3mtnv44h42ivbg)

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Versions

versioncommittedcommitsizeaudit
git:20260919.4491844 latest2026-09-19 4491844 3,322 BA view · diff
git:20260916.50d68102026-09-16 50d6810 3,305 BA view · diff
git:20260908.131d2e12026-09-08 131d2e1 3,346 BA view · diff
git:20260906.ede73252026-09-06 ede7325 3,350 BA view · diff
git:20260906.a4e0ec82026-09-06 a4e0ec8 3,438 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3322 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

GitHub

fmind/dot · 9 stars · license MIT · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ka3mtnv44h42ivbg
GET https://markdownregistry.com/api/v1/resolve?ref=fmind/dot/product-loop
GET https://markdownregistry.com/api/v1/blob/c16c8f70f4282bdaa350e44c3fead45bae44c854605fdfe0e7a22b6dee3f21d3

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.

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