solution-scoping_skill

This skill helps you define feature priorities and MVP boundaries from problem framing and user models, guiding cuts and preparing a production-ready PRD.

3

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

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Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill abhsin/designskills --skill solution-scoping

  • SKILL.md5.7 KB

Overview

This skill helps teams decide what to build first by forcing concrete feature prioritization and defining a tight MVP boundary. It translates problem framing and user models into a ranked feature list, explicit cuts, and a clear scope that feeds product requirements. Use it when the problem is validated and you need to minimize risk and time-to-learn.

How this skill works

Ingests problem-framing artifacts and user-model outputs, or accepts a raw feature list. It generates an exhaustive feature inventory, applies prioritization frameworks (Impact vs Effort, MoSCoW, user-value filters), and draws a hard MVP line with rationale. Outputs include prioritized features, an MVP definition, deferred items, and risks from each cut.

When to use it

  • After user research validates the core problem but before engineering work begins
  • When stakeholders disagree on what belongs in the first release
  • To convert personas and JTBD into a testable, minimal product
  • When you need a defensible list of features for a PRD or roadmap
  • If you want to reduce scope creep and focus on the smallest testable bet

Best practices

  • Start with an exhaustive list, then be ruthless about cuts
  • Use at least two prioritization lenses (impact/effort + user value)
  • Define the MVP as the smallest thing that validates the core assumption
  • Treat cuts as "not yet" and document the rationale and dependencies
  • Validate every cut against the core user goal and measurable outcomes

Example use cases

  • A startup with validated demand deciding which features to build for launch
  • A product manager reconciling competing stakeholder requests into an MVP
  • A design team translating personas and scenarios into a prioritized feature set
  • A cross-functional team preparing a scoped PRD and roadmap for the next quarter
  • A founder needing a defensible scope to pitch development timeline and budget

FAQ

Best inputs are a problem statement with JTBD and validated user models or personas; a raw feature list also works but requires more framing questions.

How do you decide between two high-impact features?

Use effort estimates, which persona benefits most, which feature directly tests the core assumption, and which unlocks faster learning or revenue.

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