agentsclimarketplace
Sign in

Before you build

Skill FridrichMethod/awesome-skills/skills/before-you-build

Pre-build product and feature risk review for founders, product managers, and AI-assisted builders. Use this skill when the user is about to build a landing page, MVP, SaaS product, internal tool, agent workflow, or major feature and needs to check demand, positioning, monetization, retention, trust, distribution, and adoption risk before implementation starts.From its SKILL.md

Install
npx -y skills add FridrichMethod/awesome-skills --skill before-you-build

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 13 stars13 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.7 KB, 488 tokens by cl100k_base, as published. Nobody here has run it

Before You Build

Run a compact pre-mortem before implementation. The goal is not to block building; it is to identify the highest-risk assumption, the smallest validation step, and the build scope that should be delayed until evidence improves.

When To Use

Use this skill when a user asks to build or ship:

  • A new product, MVP, prototype, landing page, SaaS app, marketplace, content site, agent workflow, or internal tool
  • A major feature with unclear adoption, revenue, retention, trust, or distribution impact
  • A public launch asset where weak positioning could waste development or promotion effort

Skip this skill when the task is a narrow implementation fix, refactor, test repair, dependency update, or already-validated change with clear acceptance criteria.

Risk Checklist

Review the idea across these risks:

  • Demand: Is there evidence that a specific buyer or user urgently wants this?
  • Positioning: Can the target user understand what it is and why it matters in one sentence?
  • Monetization: Is there a credible path to payment, budget, or strategic value?
  • Retention: Is there a reason users would return after the first try?
  • Trust: Does the product require credibility, data access, integrations, or behavior change that users may resist?
  • Distribution: Is there a repeatable way to reach the target user?
  • Feature adoption: For feature work, will the feature change user behavior or just add surface area?

If the verdict is not obvious, use references/risk-checklist.md for deeper questions.

Output Format

Keep the response short and decision-oriented:

  1. Risk verdict: Low, medium, or high risk, with one sentence explaining why.
  2. Main assumption: The single assumption most likely to break the project.
  3. Evidence to find first: The smallest useful signal before building more.
  4. Do next: One concrete validation step or reduced build scope.
  5. Delay: What not to build yet.

Guidance

  • Be direct about weak evidence, but avoid dismissing the user's idea.
  • Prefer smaller validation steps over large research plans.
  • Separate product risk from engineering difficulty.
  • If the idea is already validated, say what evidence makes it lower risk and suggest the smallest implementation slice.
  • If facts are missing, name the missing evidence instead of inventing market claims.

What ships with it: 1 file

1.6 KB alongside SKILL.md

references/

Gives 0 of the 12 instructions most product growth skills give in 488 tokens

Counted across 728 of the 1,010 authors here whose files we hold, read 2026-08-07

  • Read product marketing context before asking questionsin 24 of 728, across 18 files
  • Define the ideal customer profilein 21 of 728, across 3 files
  • Document a rollback plan before deploymentin 21 of 728, across 12 files
  • Analyze the codebase to understand the productin 19 of 728, across 1 file
  • Ask clarifying questions about the value propositionin 19 of 728, across 1 file
  • Search for companies matching the criteriain 19 of 728, across 1 file
  • Look for signals of immediate needin 19 of 728, across 1 file
  • Assign a fit score from one to tenin 19 of 728, across 1 file
  • Identify the target decision-maker rolein 19 of 728, across 1 file
  • Suggest a personalized contact strategyin 19 of 728, across 1 file
  • Provide conversation starters for outreachin 19 of 728, across 1 file
  • Format results in a scannable markdown templatein 19 of 728, across 1 file

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 326,764. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.