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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…

Install / Use

npx skills add wshobson/agents --skill before-you-build

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

86/100

Category

Automation

Supported Platforms

Universal

Our assessment of before-you-build

before-you-build scores 86/100 on our quality scale, 605th of 1,111 Automation skills we index.

Its SKILL.md is 2.7 KB long, split into 5 sections and no code examples: a solid amount of guidance for an agent.

With 39,920 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
11/20
Description
15/15
Adoption
20/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 4 days ago, so before-you-build is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

before-you-build compared with similar skills

All 4 of these similar skills score higher than before-you-build; compare them before choosing.

SkillScoreStarsUpdatedFormat
before-you-build (this skill)by wshobson8639.9k4d agoSKILL.md
Agent-Reachby Panniantong10085.4k9d agoCLAUDE.md
rufloby ruvnet10073.2ktodayCLAUDE.md
Scraplingby D4Vinci10083.5ktodayMCP Server
algorithmic-artby anthropics100177.9k2d agoSKILL.md

Frequently asked questions

How do I install before-you-build?
Run npx skills add wshobson/agents --skill before-you-build. The install tabs above show the steps for each supported agent.
Which AI agents does before-you-build work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is before-you-build safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is before-you-build still maintained?
The repository was last updated 4 days ago, so before-you-build is actively maintained.

name: before-you-build description: 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.

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.

Related Skills

View on GitHub
GitHub Stars39.9k
CategoryAutomation
Updated4d ago
Forks4.3k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions