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
- 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.
- Gather minimum inputs (ask only missing essentials):
- Budget range
- Listening distance / room size
- Existing gear and connection constraints
- Music preference and loudness target
- Return output in this order:
- Recommendation
- Why it fits
- Risks / caveats
- Next action checklist
Review + Matching Workflow
- Capture system context: room, source, use-case (music/movie/desk), volume habits.
- Match core chain first: transducer (speaker/headphone) -> amp power/current -> source/DAC.
- Penalize mismatch risks:
- Low-sensitivity speakers with underpowered amps
- Bright speaker + bright amp in reflective room
- Nearfield setup with large floorstanders in tiny rooms
- Produce 2-3 ranked options:
- Best value
- Balanced
- Stretch option
- Give upgrade path that preserves resale liquidity.
Use references/workflows.md for the detailed template.
Setup + Tuning Workflow
- Start with placement before EQ:
- Symmetry, toe-in, listener triangle, wall distance
- Solve biggest acoustic problems first:
- First reflections, bass boom/nulls, desk bounce (for nearfield)
- Apply light EQ only after physical setup is reasonable.
- Validate with repeatable test tracks and one objective check (if available).
- 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)
- Normalize listing data by region, condition, accessories, and shipping inclusion.
- Build a fair-price band using robust statistics (median + IQR).
- Apply adjustments:
- No box/accessories: discount
- Cosmetic issues: discount
- Recent service with proof: premium
- Local pickup vs shipped risk: adjust confidence, not only price
- 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.
1---2name: hifi-advisor-33description: 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).4---56# HiFi Advisor78## Overview9Deliver practical, decision-ready guidance for hi-fi purchase, setup, tuning, and pricing tasks. Prioritize low-risk recommendations, explicit trade-offs, and actionable next steps.1011## Quick Workflow Decision12131. Identify user intent:14 - **Buy/compare gear** -> run **Review + Matching workflow**.15 - **Install or improve sound** -> run **Setup + Tuning workflow**.16 - **Check second-hand deal value** -> run **Price Analysis workflow**.172. Gather minimum inputs (ask only missing essentials):18 - Budget range19 - Listening distance / room size20 - Existing gear and connection constraints21 - Music preference and loudness target223. Return output in this order:23 - Recommendation24 - Why it fits25 - Risks / caveats26 - Next action checklist2728## Review + Matching Workflow29301. Capture system context: room, source, use-case (music/movie/desk), volume habits.312. Match core chain first: transducer (speaker/headphone) -> amp power/current -> source/DAC.323. Penalize mismatch risks:33 - Low-sensitivity speakers with underpowered amps34 - Bright speaker + bright amp in reflective room35 - Nearfield setup with large floorstanders in tiny rooms364. Produce 2-3 ranked options:37 - Best value38 - Balanced39 - Stretch option405. Give upgrade path that preserves resale liquidity.4142Use `references/workflows.md` for the detailed template.4344## Setup + Tuning Workflow45461. Start with placement before EQ:47 - Symmetry, toe-in, listener triangle, wall distance482. Solve biggest acoustic problems first:49 - First reflections, bass boom/nulls, desk bounce (for nearfield)503. Apply light EQ only after physical setup is reasonable.514. Validate with repeatable test tracks and one objective check (if available).525. End with a short "do not change all at once" iteration plan.5354Use `references/checklists.md` for step-by-step checklists.5556## Price Analysis Workflow (Used Market)57581. Normalize listing data by region, condition, accessories, and shipping inclusion.592. Build a fair-price band using robust statistics (median + IQR).603. Apply adjustments:61 - No box/accessories: discount62 - Cosmetic issues: discount63 - Recent service with proof: premium64 - Local pickup vs shipped risk: adjust confidence, not only price654. Output:66 - Fair range67 - Strong-buy threshold68 - Walk-away threshold69 - Risk flags7071If user provides tabular listing data, run:7273```bash74python3 scripts/price_stats.py listings.csv75```7677Expected columns: `price` plus optional `platform,condition,model,date,notes`.7879## Output Quality Standard8081Always provide:82- A clear recommendation (not just raw data)83- 3-5 bullet rationale84- Top risk factors85- Concrete next steps the user can execute today8687Use concise language. Avoid mystical audiophile claims. Prefer testable, practical guidance.
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