A professional audio consultant agent for matching gear, optimizing room acoustics, and analyzing second-hand market pricing.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hifi-advisor
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install hifi-advisor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The HiFi Advisor is a technical assistant designed to guide users through the complexities of high-fidelity audio systems. It moves beyond subjective audiophile claims to provide actionable, testable guidance on gear synergy, room placement, and acoustic tuning. As part of the Openclaw Skills ecosystem, this agent ensures users make low-risk investment decisions while maximizing the performance of their existing audio hardware.
Whether you are building a desk-based nearfield setup or a full-scale home stereo, the skill analyzes budget constraints, room dimensions, and listener preferences to generate ranked equipment options. It effectively bridges the gap between raw technical specifications and the practical reality of home listening environments.
To use the price analysis features of this Openclaw Skills agent, ensure you have the necessary scripts directory and Python environment ready.
# Prepare your gear listing data in a CSV format
# Expected columns: price, model, condition, platform
# Run the price analysis script
python3 scripts/price_stats.py listings.csv
The skill manages several types of data inputs and reference files to maintain high-quality recommendations:
| Component | Description |
|---|---|
| listings.csv | Input file for second-hand market analysis containing pricing and condition data. |
| workflows.md | Reference templates for standardized review and gear matching processes. |
| checklists.md | Step-by-step guides for physical room setup and iterative tuning. |
| price_stats.py | Python utility for calculating statistical price bands (Median, IQR). |
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