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oh-my-ai/discovery-interview

Interactive discovery interview → structured product spec. Triggers: spec, PRD, requirements, scoping, brainstorming, new project. Uses AskUserQuestion; WebSearch/WebFetch when user wants research. Outputs user stories, acceptance criteria, constraints.

99

2.28x
Quality

100%

Does it follow best practices?

Impact

96%

2.28x

Average score across 3 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

Overview
Quality
Evals
Security
Files

SPEC_TEMPLATE.md

[Project Name] Specification

Executive Summary

[2-3 sentences: what, for whom, why]

Problem Statement

[The problem this solves, current pain points, why now]

Success Criteria

[Measurable outcomes that define success]

User Personas

[Who uses this, their technical level, their goals]

User Journey

[Step-by-step flow of the core experience]

Functional Requirements

Must Have (P0)

  • [Requirement with acceptance criteria]

Should Have (P1)

  • [Requirement with acceptance criteria]

Nice to Have (P2)

  • [Requirement with acceptance criteria]

Technical Architecture

Data Model

[Key entities and relationships]

System Components

[Major components and their responsibilities]

Integrations

[External systems and how we connect]

Security Model

[Auth, authorization, data protection]

Non-Functional Requirements

  • Performance: [specific metrics]
  • Scalability: [expected load]
  • Reliability: [uptime requirements]
  • Security: [compliance, encryption]

Out of Scope

[Explicitly what we're NOT building]

Open Questions for Implementation

[Technical details to resolve during implementation]

Appendix: Research Findings

[Summary of research conducted during discovery]

CATEGORIES.md

SKILL.md

SPEC_TEMPLATE.md

tile.json