PC Builder Configuration Planner

The Core Problem

Planning a DIY PC build often involves navigating a complex landscape of hardware compatibility, fluctuating prices, and performance expectations. Consolidating scattered reviews and forum advice into a coherent, budget-conscious configuration—especially for nuanced needs like iGPU builds, local LLM deployment, or targeted gaming FPS—can be daunting and error-prone.

How the Skill Works: Workflow & Capabilities

The DIY装机助手 (PC Builder Assistant) addresses this with a structured, policy-driven workflow that prioritizes verifiable data over opinion.
1. Needs Analysis & Policy Loading: The process begins by consulting references/routing.md to determine the handling path. For concrete model requests, full builds, or compatibility checks, it loads references/selection-policy.md, which dictates hardware selection priorities and scenario-based matching rules (e.g., gaming, productivity).
2. Hardware Query & Evaluation: Instead of speculative recommendations, the assistant executes scripts/query_components.py to fetch candidate parts (CPU, GPU, motherboard, etc.) from an offline database based on filters like budget (--budget), tier (--sort tier), or features (--integrated-graphics yes). Specific performance queries, such as game FPS (scripts/query_game_fps.py) or local model VRAM fitting (scripts/query_model_fit.py), are handled by dedicated scripts that rely on pre-collected samples.
3. Rigorous Compatibility Validation: Any proposed configuration must pass the scripts/check_compatibility.py --strict --require-complete script. This tool verifies hard constraints like socket matching, physical dimensions, and power delivery. Only builds that pass all checks or have explicitly listed caveats (e.g., "requires confirmation of GPU clearance") are presented.
4. Structured Output: The final report details all eight component categories with reference unit prices, total cost, budget variance, and clear compatibility conclusions and trade-off rationale. For iGPU builds, it specifies the motherboard's video output ports. All prices are timestamped, and only verifiable new-item prices are included in the total by default.

Scope and Important Caveats

This skill is a data-driven configuration generator with strict boundaries:
- Evidence-Based, Not Speculative: All recommendations are derived from YAML data files and policy scripts. It does not invent model numbers, prices, or compatibility results. Missing data prompts user verification or clarification rather than guesswork.
- Focus on New & Mainstream: Default pricing is for new retail channels. Used, refurbished, or highly volatile components are excluded from the default budget total. Specialized paths (e.g., region-locked GPUs, water-cooled cards) are only engaged when the user's scenario explicitly requires it.
- Output as a Purchase Brief: The generated report is a complete procurement checklist, including key points to verify before ordering (e.g., case fan mounts, PSU cables). For users planning a future GPU upgrade, it assesses current PSU and case headroom but will not promise unverifiable compatibility.
- Advisory, Not Decision-Maker: It provides rule-based, auditable configuration suggestions and reasoning. The final purchase decision remains with the user, considering personal preference, real-time market availability, and after-sales service.