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/deep-interview

Ambiguity gating — detects vague feature requests and forces structured requirements gathering with scoring across scope, platform, performance, integration, and acceptance criteria. Prevents wasted cycles on underspecified tasks.

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everything-claude-unity
2442 skills20 agents27 commands
Install
$ npx -y skills add XeldarAlz/everything-claude-unity --skill deep-interview --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/deep-interview

Context preview

The summary Claude sees to decide when to auto-load this skill.

Ambiguity gating — detects vague feature requests and forces structured requirements gathering with scoring across scope, platform, performance, integration, and acceptance criteria. Prevents wasted cycles on underspecified tasks.

SKILL.md

deep-interview.SKILL.md
name: deep-interview
description: "Ambiguity gating — detects vague feature requests and forces structured requirements gathering with scoring across scope, platform, performance, integration, and acceptance criteria. Prevents wasted cycles on underspecified tasks."
alwaysApply: true

Deep Interview — Ambiguity Gating

Before executing any feature request, evaluate whether the requirements are clear enough to proceed. Vague requests waste agent cycles and produce code that needs reworking.

When to Activate

A request is **vague** when ALL of these are true:

  • No file paths or directory references mentioned
  • No function, class, or component names specified
  • No code blocks or snippets included
  • No numbered steps or explicit instructions
  • The request is more than 10 words (short requests like "add a jump" are intentionally open-ended and acceptable)

If **any one** specificity signal is present, skip the interview and proceed normally.

Exemptions — Skip the Interview

Do NOT activate for:

  • **Bug fixes** — request mentions "error", "bug", "crash", "fix", "broken", "NullReference", "exception"
  • **Commands with built-in clarification** — `/unity-workflow` has its own Phase 1: Clarify, `/unity-prototype` expects open-ended prompts
  • **Explicit opt-out** — user includes `--skip-interview` or says "just do it" / "don't ask"
  • **Follow-up requests** — user is continuing a conversation where requirements were already established
  • **Simple modifications** — "make it faster", "change the color to red", "increase the speed"

Ambiguity Score

Rate the request across 5 dimensions. Each scores 0–2:

| Score | Meaning | |-------|---------| | 0 | Unspecified — no information provided | | 1 | Partial — vague or implied | | 2 | Clear — explicitly stated or obvious from context |

Dimensions

1. **Scope** — What exactly is being built? What are its boundaries? What is NOT included? 2. **Platform** — Target platform, Unity version, render pipeline, input method? 3. **Performance** — FPS target, memory budget, draw call limits, target device tier? 4. **Integration** — What existing systems does this touch? Dependencies? Data flow? 5. **Acceptance Criteria** — How do we know it's done? What should we test? What does success look like?

**Threshold: total score >= 6 out of 10 to proceed.**

Interview Protocol

When the score is below threshold:

1. **Present the current scores** — show the user which dimensions are weak 2. **Ask targeted questions** — max 3 questions per round, focused on the lowest-scoring dimensions 3. **Re-score after each round** — update scores based on answers 4. **Proceed when threshold is met** — or when the user explicitly opts out

Question style: be direct and specific, not generic. Instead of "What platform?", ask "Is this for mobile (touch input, limited GPU) or desktop (keyboard/mouse, full GPU budget)?"

Output: Requirements Document

When the threshold is met, produce a structured summary:

## Requirements Summary

**Feature:** [one-line description]

**Scope:** [what's included and what's explicitly excluded]
**Platform:** [target platform, input method, render pipeline]
**Performance:** [constraints, budgets, target devices]
**Integration:** [systems touched, dependencies, data flow]
**Acceptance Criteria:**
- [criterion 1]
- [criterion 2]
- [criterion 3]

Ask the user to confirm the summary before proceeding to implementation.

Scoring Examples

**Vague (score 3/10):** "Add multiplayer to my game"

  • Scope: 1 (multiplayer is broad — co-op? competitive? matchmaking?)
  • Platform: 0 (unspecified)
  • Performance: 0 (unspecified)
  • Integration: 1 (implies networking but no specifics)
  • Acceptance: 1 (implied: "it works")

**Clear enough (score 7/10):** "Add 2-player local co-op split-screen for the existing PlayerController using the new Input System"

  • Scope: 2 (2-player local co-op split-screen)
  • Platform: 1 (implies desktop from split-screen, but not explicit)
  • Performance: 1 (split-screen implies rendering budget concern)
  • Integration: 2 (PlayerController, Input System explicitly named)
  • Acceptance: 1 (implied: both players can play simultaneously)
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