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SKILL verified MIT Self-run

Deep Interview

skill-xeldaralz-everything-claude-unity-deep-interview · by XeldarAlz

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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Install

$ agentstack add skill-xeldaralz-everything-claude-unity-deep-interview

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

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)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.