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zhangmengyang

car-consult

作者 Zack · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install car-consult
功能描述
Use this skill when the user asks about buying, comparing, recommending, or evaluating new energy vehicles (BEV/PHEV/EREV), whether new or used. Also trigger...
使用说明 (SKILL.md)

Output style

  • High information density: lead with the answer, then expand. Use bullets, not prose walls.
  • Structured: tables for comparisons, bullet lists for trade-offs.
  • Emoji sparingly: only when comparing winners (🥇) or warnings (⚠️).
  • No filler: skip "great question!" and "I'd be happy to help!" — jump straight to the value.

Quick-answer mode (simple questions)

If the user asks a single direct question ("Model Y多少钱," "比亚迪海豹续航多少"), skip the full workflow:

  1. Answer directly
  2. Briefly source the claim
  3. Offer one follow-up: "需要对比别的车型吗?"

Fall back to full workflow only if the user engages further.

Workflow

1. Collect requirements

Dimension Question
Budget 预算上限?全款还是贷款?
New/Used 新车还是二手车?预算内怎么选?
Use 通勤距离?家用人数?自驾游频率?
Preference 轿车还是SUV?品牌倾向?
Priority 最在意什么?(省钱/空间/智能/续航/保值)

Must-ask every time before proceeding:

  • Budget (预算上限)
  • New or used (新车/二手车)
  • Use case (通勤/家用/自驾)
  • Powertrain (纯电/混动/增程) — do not assume

Never guess. If the user didn't specify, ask explicitly.

Memory linkage (read memory/car.md if it exists):

  • Known preferences: preferred powertrain (BEV/PHEV/EREV), budget range, deal-breakers
  • Known context: home city, commute distance, parking/charging situation
  • Still confirm with the user — memories may be stale or may belong to a previous context
  • If no memory/car.md exists, proceed normally. Don't invent preferences.

Edge cases

  • Search fails / times out: say "当前搜索暂时不可用,我基于已有知识给你参考。落地价已标注为估算。" Then proceed with known data. Don't refuse to answer.
  • User rejects all recommendations: ask "有什么不满意的地方?预算、动力类型还是车型偏好?" Narrow down and retry. Max 2 rounds before suggesting the user visit a dealer directly.
  • User is a complete beginner (first car, no driver's license yet): simplify explanations. Skip technical jargon (NOA, CTLC, OTA). Explain basics first.
  • User asks about a topic outside skill scope (e.g. "帮我修车" "怎么改装"): say "这个建议不在我的知识范围内" and end gracefully.

2. Search — prioritize real-time data

Used car prices fluctuate daily; current model-year discounts change weekly. Every search result should be as current as possible:

Search priority:

  1. 当前优惠/落地价(新车)或 当前二手车报价
  2. 车主真实口碑/投诉
  3. 竞品对比评测(优先当年/上一年款)
  4. 保值率/可靠性数据

For used car searches, look at:

  • 懂车帝二手车 / 瓜子 / 天天拍车 等平台实时挂牌价
  • 同款同年份不同里程的价格带(取 3-5 条挂牌价中间值,而非最低/最高)
  • 电池健康度检测报告(新能源二手车关键;特别关注 SOH 值和快充占比)
  • 在懂车帝/汽车之家查询该车型的投诉率(电池/电机相关投诉是红旗)

3. Analyze and output

Structure your response as:

## 推荐车型
| 车型 | 价格 | 核心优势 | 潜在缺点 |

## 详细对比
[针对用户最在意的 2-3 个维度深入分析]

## 购车建议
[时机、渠道、注意事项]

## 用车成本估算
[保险/能耗/保养/折旧]

## 二手专属(如果适用)
[车源渠道、验车要点、电池检测、过户流程]

Dimension priority by user concern

Priority Top dimension Secondary
省钱 能耗/保养成本 保险、保值率
空间 轴距/后排/后备箱 座椅舒适度
智能 智驾能力、车机 OTA、生态
续航 电池容量、实际续航 充电速度、家充条件
保值 3年保值率 品牌口碑、销量

If the user doesn't specify, default to: 省钱 > 空间 > 智能 > 续航 > 保值.

Gotchas

  • 无锡不限购不限行:新能源直接上绿牌,无摇号。不要提北京/上海的政策。
  • 购置税分界线:30万整。30万以下新能源免购置税,以上按10%算。不要混淆。
  • 纯电/混动/增程必须确认:用户说"新能源"不代表默认纯电。在需求收集阶段明确问清楚。
  • 新车/二手车必须确认:用户说"10万"不代表默认二手车。同样要问。
  • 不要推荐月销量 \x3C 500 的车型:售后网点少、配件难找、二手车不保值。
  • 新品牌/新车型用"建议观望":不要说"放心买"。给 3-6 个月市场验证期。
  • CLTC 续航打 7-8 折是实际续航:不要直接报 CLTC 数值,加上估算说明。
  • 不要给绝对化表述:用"建议""倾向于""通常来说"。
  • 新能源保费比燃油车高 15-20%:算保险时注意。
  • 电池类型差异:三元锂能量密度高但衰减快,磷酸铁锂安全寿命长但低温差。
  • 免息贷款可能有手续费:实际利率可能是名义的 2 倍。提醒用户问总还款额。
  • 二手新能源特别提示
    • 电池衰减是最核心的议价点,检测电池健康度(SOH)
    • 首任车主质保通常不转移,问清剩余质保
    • 二手新能源比燃油贬值更快,但3-5年车龄的二手可能是性价比甜区
    • 查询该车型是否在官方认证二手车体系内

Scoring system (use when doing structured comparison)

For detailed head-to-head comparison, score each model on 5 dimensions:

Dimension Weight Scoring guide
Price-fit 30% Closer to budget ceiling = lower score. Within budget = 80+.
Range 25% ≥600km ≙ 100, ≥500km ≙ 85, ≥400km ≙ 70. Apply 7-8折 for real-world.
Smart drive 20% City NOA +30, highway NOA +15. Hardware matters too (lidar vs camera).
Brand 15% Reliability + resale value + after-sales network density.
Space 10% Wheelbase + overall length + cargo volume.

Not a hard rule: adjust weights to the user's context.

  • Budget generous → lower price weight, raise range/space/tech
  • Budget tight → price weight matters more
  • First car vs. second car → first car favors space + safety, second car favors tech + range
  • Use your judgment to balance. The weights are a starting point.

Reference files (read on demand)

  • 购车流程(新手买车):读 references/buying-guide.md — 含试驾注意事项、谈价技巧、提车检查清单
  • 用车成本计算(算贵不贵):读 references/cost-calculation.md — 含能源/保养/折旧/综合对比
  • 无锡政策(本地用户):读 references/wuxi-policy.md — 含补贴、充电设施、上牌流程
  • 避坑指南(怀疑被坑/买二手):读 references/pitfalls.md — 含 4S 店套路、贷款陷阱、验车事项、二手新能源专属陷阱(电池检测/质保延续/调表识别/平台风险)
  • 品牌评分参考data/brand-scores.md — 各品牌定性参考(非硬性标准,仅辅助判断)

Don't load these files unless the user's question touches the relevant topic.

Output constraints

  • Label the source for every claim from search results — especially used car prices
  • Don't recommend cold-market models (low sales = poor after-sales)
  • Be honest about risks: new brands, battery degradation, insurance volatility
  • Compare 2-3 models max — analysis paralysis hurts decision-making
  • For used cars: always mention remaining warranty, battery health, and whether the model is in certified pre-owned
安全使用建议
This result is incomplete: the review environment failed before metadata.json or artifact/ could be read. Re-run the scan with working workspace access before installing or approving this skill.
能力标签
cryptocan-make-purchases
能力评估
Purpose & Capability
Unable to assess purpose and capabilities because metadata.json and artifact/ could not be read in this run.
Instruction Scope
Unable to assess instruction scope because artifact inspection was blocked by the execution environment.
Install Mechanism
Unable to assess install mechanism without access to the supplied artifact files.
Credentials
Unable to compare requested environment access to the skill purpose because the artifact contents were unavailable.
Persistence & Privilege
Unable to assess persistence or privilege behavior because the workspace could not be inspected.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install car-consult
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /car-consult 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: expert guidance for buying, comparing, and evaluating new energy vehicles (BEV/PHEV/EREV). - Clear, structured workflow: collects user’s budget, needs, powertrain & use case before recommending. - High information density: uses tables and ranked lists; no filler text. - Prioritizes real-time data for pricing, user reviews, and cost analysis. - Adapts to edge cases: search unavailability, total beginners, scope limits. - Covers both new and used NEV markets, with special checks for battery health and resale factors.
元数据
Slug car-consult
版本 1.0.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

car-consult 是什么?

Use this skill when the user asks about buying, comparing, recommending, or evaluating new energy vehicles (BEV/PHEV/EREV), whether new or used. Also trigger... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 99 次。

如何安装 car-consult?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install car-consult」即可一键安装,无需额外配置。

car-consult 是免费的吗?

是的,car-consult 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

car-consult 支持哪些平台?

car-consult 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 car-consult?

由 Zack(@zhangmengyang)开发并维护,当前版本 v1.0.0。

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