10x-opportunity-map

Classifies recurring friction signals into build, buy, complement, or wait decisions.

Updated Jul 4, 2026
One-click install
npx skills add https://github.com/Assamir/ai-toolkit --skill 10x-opportunity-map-assamir
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: 10x-opportunity-map
Source: https://github.com/Assamir/ai-toolkit/tree/main/.cursor/skills/10x-opportunity-map
Command: npx skills add https://github.com/Assamir/ai-toolkit --skill 10x-opportunity-map-assamir

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Teams often jump straight to building a dashboard, agent, or automation without checking whether an existing tool already solves the problem. This Skill turns recurring friction or unmet needs into a structured opportunity map that decides whether to build, buy, complement, or wait before any code is written. ## Core Features & Use Cases - Signal Classification: Normalizes raw ideas and weak signals (like "build a dashboard") into observable, repeated pain points, then classifies each against existing tools, thin complements, and first useful versions. - Candidate Recommendation: Ranks signals and recommends at most one candidate for a narrow, read-only, mockable first version, with a data-risk caveat. - Decision Artifact: Produces a saved opportunity map (context/team/opportunity-map.md) with a comparison table, recommended candidate, and next-step routing to validation, shaping, or building workflows. - Use Case: A team lead pastes notes about manual PR checks and ticket drift; the Skill classifies each signal, recommends a read-only digest script as the first useful version, and saves the map for later roadmap decisions. ## Quick Start Ask the assistant to map these recurring frictions into build, buy, complement, or wait decisions using the opportunity map skill.

Frequently Asked Questions about 10x-opportunity-map

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I decide whether to build or buy an internal tool?

Build-vs-buy decisions start by classifying the recurring friction against what existing tools already do, what a thin complement could add, and what a narrow first useful version would prove. The opportunity map ranks signals and recommends at most one candidate worth testing read-only.

How do I evaluate a 'let's build a dashboard or agent' idea?

Treat the proposed solution as a hypothesis and ask what repeated pain, delay, or manual check it removes. Then classify the underlying signal against existing tools, a thin complement, and a first useful version before committing to any build.

What is an opportunity map in product discovery?

An opportunity map is a decision artifact that lists each friction signal alongside the existing default response, a thin complement, a first useful version, a data-risk rating, and a direction if it proves valuable. It ends with one recommended candidate and a next-step route.

Can I use real company data for the first version of an internal tool?

Real company or customer data requires access-control and auditability thinking before implementation. The recommended path is to start with mock, local, read-only, or non-sensitive data so the first version stays lightweight and disposable.

When should I not build an internal tool at all?

Skip building when the signal is weak, already solved by an existing platform, or not worth the maintenance attention. The opportunity map explicitly supports a wait or no-build recommendation and points to the existing tool to try first.