ClawHub

HiFi Advisor

Evaluate hi-fi and audio gear options, build system recommendations, guide installation and tuning, and analyze used-market pricing/resale value. Use when users ask for speaker/amp/DAC matching, room setup, placement, EQ/tuning checklists, buying advice, scam-risk checks, or fair-price analysis for second-hand audio gear (Hi-Fi, headphone rigs, home stereo).

Audits

Pass
ClawScanPass

Agentic behavior and permission review.

Static analysisPass

Pattern checks against bundled files.

VirusTotalPass

Multi-engine malware detections and file reputation.

Install

openclaw skills install hifi-advisor

HiFi Advisor

Overview

Deliver practical, decision-ready guidance for hi-fi purchase, setup, tuning, and pricing tasks. Prioritize low-risk recommendations, explicit trade-offs, and actionable next steps.

Quick Workflow Decision

  1. Identify user intent:
    • Buy/compare gear -> run Review + Matching workflow.
    • Install or improve sound -> run Setup + Tuning workflow.
    • Check second-hand deal value -> run Price Analysis workflow.
  2. Gather minimum inputs (ask only missing essentials):
    • Budget range
    • Listening distance / room size
    • Existing gear and connection constraints
    • Music preference and loudness target
  3. Return output in this order:
    • Recommendation
    • Why it fits
    • Risks / caveats
    • Next action checklist

Review + Matching Workflow

  1. Capture system context: room, source, use-case (music/movie/desk), volume habits.
  2. Match core chain first: transducer (speaker/headphone) -> amp power/current -> source/DAC.
  3. Penalize mismatch risks:
    • Low-sensitivity speakers with underpowered amps
    • Bright speaker + bright amp in reflective room
    • Nearfield setup with large floorstanders in tiny rooms
  4. Produce 2-3 ranked options:
    • Best value
    • Balanced
    • Stretch option
  5. Give upgrade path that preserves resale liquidity.

Use references/workflows.md for the detailed template.

Setup + Tuning Workflow

  1. Start with placement before EQ:
    • Symmetry, toe-in, listener triangle, wall distance
  2. Solve biggest acoustic problems first:
    • First reflections, bass boom/nulls, desk bounce (for nearfield)
  3. Apply light EQ only after physical setup is reasonable.
  4. Validate with repeatable test tracks and one objective check (if available).
  5. End with a short "do not change all at once" iteration plan.

Use references/checklists.md for step-by-step checklists.

Price Analysis Workflow (Used Market)

  1. Normalize listing data by region, condition, accessories, and shipping inclusion.
  2. Build a fair-price band using robust statistics (median + IQR).
  3. Apply adjustments:
    • No box/accessories: discount
    • Cosmetic issues: discount
    • Recent service with proof: premium
    • Local pickup vs shipped risk: adjust confidence, not only price
  4. Output:
    • Fair range
    • Strong-buy threshold
    • Walk-away threshold
    • Risk flags

If user provides tabular listing data, run:

python3 scripts/price_stats.py listings.csv

Expected columns: price plus optional platform,condition,model,date,notes.

Output Quality Standard

Always provide:

  • A clear recommendation (not just raw data)
  • 3-5 bullet rationale
  • Top risk factors
  • Concrete next steps the user can execute today

Use concise language. Avoid mystical audiophile claims. Prefer testable, practical guidance.