Game Audio Feedback Audit for Openclaw

A technical audit skill that treats game audio as a primary UX feedback system rather than a cosmetic afterthought.

mike007jd
v1.0.1
Mar 30, 2026
0
874
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install game-audio-feedback-audit

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install game-audio-feedback-audit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Game Audio Feedback Audit?

The Game Audio Feedback Audit is a specialized tool designed for AI coding agents to evaluate audio as a core component of a game's feedback grammar. By focusing on how sound clarifies game state rather than simply adding noise, this skill helps developers ensure that every beep, chime, and cue serves a functional purpose. As part of the Openclaw Skills ecosystem, it allows agents to analyze sound implementation for menus, rewards, and danger signals, ensuring they are layered correctly and semantically prioritized for the player.

This skill is particularly effective when used with Claude Code or Codex, leveraging file system access to inspect how audio hooks are integrated into the project logic. It shifts the audio development phase from a late-stage polish task to an integral part of the UX design process.

Game Audio Feedback Audit Use Cases

  • Auditing menu and button confirmation sounds to ensure consistent player feedback.
  • Evaluating reward, pickup, and completion signals for psychological impact and clarity.
  • Identifying layering conflicts where competing sounds create priority confusion.
  • Verifying that failure and danger cues are semantically distinct and actionable for the player.
  • Documentation of audio implementation gaps for sound designers and engineers.

How Game Audio Feedback Audit Works

  1. The AI agent initializes the process by referencing the audio feedback audit checklist within the Openclaw Skills environment.
  2. It scans the project source code and asset directories to identify audio triggers and hooks.
  3. The skill evaluates identified sounds against semantic priorities to determine if they clarify state or add unnecessary noise.
  4. Findings are categorized into verified or inferred evidence based on the clarity of runtime behavior.
  5. The agent generates a comprehensive suite of deliverables, including a UX findings report, an audit summary, and a quantitative scorecard.

Game Audio Feedback Audit Setup

To deploy this skill, ensure your Openclaw Skills workspace has the necessary audit templates and checklists in the shared directory.

# Create the audit directory structure
mkdir -p docs/game-studio/audit/

# Ensure checklist references are available
ls ./shared/checklists/audio-feedback-audit-checklist.md

Game Audio Feedback Audit Data Schema & Taxonomy

File Path Description
docs/game-studio/audit/audit-summary.md An executive summary of the audio audit results and recommendations.
docs/game-studio/audit/ux-findings.md Detailed observations regarding UI sounds, cues, and layering issues.
docs/game-studio/audit/scorecard.json A structured JSON file containing the audit scores for various audio categories.
audio-feedback-audit-checklist.md The reference checklist used by Openclaw Skills to maintain audit consistency.

Game Audio Feedback Audit Advanced Features

  • Evidence-based classification: Automatically distinguishes between verified code implementation and inferred runtime behavior.
  • Semantic sound mapping: Analyzes the priority of sounds to prevent audio masking in high-intensity game moments.
  • Multi-agent collaboration: Supports workflows where different agents handle asset auditing and logic verification within Openclaw Skills.
  • Build-access integration: Leverages shell access to improve the quality of evidence by checking build artifacts.

SKILL.md


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