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curiositech/windags-skills

设计面向汽车经销商的 roadside signs 和大型广告,包括立式招牌、纪念碑式招牌、横幅、高速公路广告牌、数字路侧广告牌、服务车道标识、二手车活动标识、租赁/金融活动概念等,专注于驾驶员高速行驶时的可读性、优惠层级和经销商广告合规性。

windags-skills 是什么?

该技能专为汽车经销商量身定制,帮助他们设计路边标识和大型广告。它深谙“时间短、注意力分散、决策快”的场景,因此强调信息压缩和合规性。支持 pylon signs、billboards、banners 等多种格式。决策流程首先根据主要目标(如定位门店、吸引车流、引导场内车辆)进行分流,再根据车速和停留时间选择广告形式(高速 vs. 低速)。消息层级严格遵循“目的地/品牌→单一优惠→行动提示”的顺序,避免“优惠大杂烩”。对于涉及付款、租赁等触发条款的设计,会强制进行合规审查,防止在高速环境中出现无法清晰展示的必要条件。该技能还包含了常见失败模式(如不明显、可读性差、付款导向点头条陷阱等)的检测与修复方法,以及详细的工作示例。它在 Cursor、Claude Code 等 AI 代理平台上激活,特别适用于“road sign”、“billboard”、“car dealer ad”等提示词。

兼容平台✓Claude Code~Codex CLI~Cursor
npx skills add https://github.com/curiositech/windags-skills/tree/HEAD/skills/automotive-dealer-roadside-signage

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文档

汽车经销商路侧标识设计

设计面向行驶中、注意力分散且快速决策者的路侧标识。对于经销商而言,每个概念必须同时经受两个过滤条件:

  1. 驾驶员在高速行驶下的认知和可读性
  2. 涉及价格、付款或租赁语言时的经销商广告真实性

您的默认立场:比客户所希望的更加压缩信息,然后用可见性、可操作性和合规性来捍卫这种压缩。

决策点

主要格式分诊

flowchart TD
    A[新路侧信息请求] --> B{主要任务?}
    B -->|定位门店| C[识别性标识:立柱式或纪念碑式]
    B -->|从道路吸引车流| D{交通速度和停留时间}
    B -->|推动场地车辆销售| E[指引性:服务车道、二手车区域、停车场、入口/出口]
    B -->|解释复杂的金融优惠| F[通常是错误的媒介 - 将细节转移到较慢接触的媒体]

    D -->|35+ 英里/小时,一眼扫过| G[高速路侧标识或广告牌]
    D -->|低于 35 英里/小时,重复曝光| H[临街立板、横幅、窗户、数字纪念碑式]

    G --> I{什么最重要?}
    I -->|品牌和位置| J[品牌主导的信息]
    I -->|单一活动或库存线索| K[优惠主导的信息,带一个证明点]
    I -->|月付款或租赁数字| L[先运行合规检查]

    L --> M{所有必需的条款能否在高速行驶时保持清晰醒目?}
    M -->|否| N[放弃付款主导的创意;改为销售活动、库存或目的地]
    M -->|是| O[仅在有纪律的层级结构中使用付款主导的创意]

信息层级规则

除非简报有令人信服的理由,否则按此优先级顺序:

  1. 目的地:谁或什么正被广告
  2. 单一优惠:一个活动、一个库存声明、一个服务承诺或一个证明点
  3. 行动提示:下一个出口、下一个右转、电话、仅在行人场景中使用二维码、或今天前往

如果概念需要第四层才能说得通,那媒介很可能错了,或者信息仍然太宽泛。

经销商特定选择规则

如果经销商目标是:

  • 漏斗顶端知名度 -> 使用品牌、门店名称、车辆类别和位置
  • 周末活动或库存推动 -> 使用一个具体的卖点:“认证二手车”、“卡车月”、“超过150辆二手车”或类似
  • 服务留存 -> 使用服务优势加上方向指引,而非通用的经销商品牌
  • 金融或租赁优惠 -> 将合规视为通行/禁止的门槛,而不是页脚练习

付款和租赁红旗

如果设计提及以下任何一项,在最终确定前请停止并加载 references/auto-ad-compliance.md:

  • 首付或签约时应付金额
  • 付款次数或还款期限
  • 月付款金额
  • 融资费用
  • 租赁付款
  • 资本化成本减免
  • “零首付”或类似融资短语

失败模式

优惠大杂烩

症状:APR、回扣、以旧换新奖金、库存数量和服务促销在同一块板上相互竞争。
检测:超过一个主要声明或超过两个信息元素。
修复:每个面保留一个优惠。将剩余部分转化为跨多个板或格式的活动序列。

错误的标识类型

症状:试图让立柱式标识发挥传单的作用,或者让场地指引承载推销说辞。
检测:观看者必须在一瞥中解码“哪里”、“什么”或“在此转弯”之外的信息。
修复:将识别性、促销性和指引性标识分开。

付款主导的广告牌陷阱

症状:广告牌标题是“$299/月”,但法律要求的上下文在高速行驶时太小而无法阅读。
检测:触发条款出现,但设计无法使必需的条款保持清晰醒目。
修复:从高速板上移除付款主导的声明。改为销售活动、车型系列或目的地。

美观但难以辨认

症状:细字体、草书字体、低对比度、主车辆图像无焦点。
检测:从停车场模拟测试或从预期的接近距离处难以阅读。
修复:使用粗体字、更强的对比度、更大的数字以及一个焦点图像或没有。

平行墙面可见性失误

症状:安装在建筑物墙上的标识在驾驶员已经经过门店时才能看到。
检测:标识与道路平行且尺寸像垂直标识。
修复:显著增大尺寸或改为垂直/纪念碑式放置。加载 references/roadside-legibility-and-placement.md。

场地混乱

症状:由于指向标识也试图做广告,顾客错过了服务签到、二手车区域或出口通道。
检测:箭头和车道标签与促销文案竞争。
修复:将场地内指引视为运营标识优先,广告其次。

工作示例

示例 1:45 英里/小时主干道上的认证二手车活动

简报:“本田经销商想在主干道上为周末认证二手车活动做一个路侧牌。”

第 1 步 - 评估道路环境:45-50 英里/小时的交通意味着高速观看。信息必须从足够远的距离就能被阅读,以便驾驶员做出反应。
第 2 步 - 确定任务:这不是金融解释。这是一个活动吸引。
第 3 步 - 压缩优惠:只使用一个证明点。好的候选:“认证二手车本田”或“150+ 辆二手车”。
第 4 步 - 构建层级:

  • 第 1 行:认证二手车本田
  • 第 2 行:本周末
  • 第 3 行:下一个右转

为什么有效:它告诉驾驶员门店提供什么、为什么是现在以及下一步做什么。
要拒绝的:“认证二手车本田 / 零首付 / 低 APR / 信用不良也可以 / 以旧换新奖金 / 下一个右转。”那不是一块标识,而是六个相互竞争的广告假装成一个。

示例 2:经销商想要一个“$299/月租赁”广告牌

简报:“丰田经销商想要一个高速公路广告牌,推广 RAV4 租赁特价 $299/月。”

第 1 步 - 合规门:租赁付款金额是一个触发条款。这会强制增加额外的租赁信息披露。
第 2 步 - 媒介检查:高速公路广告牌的停留时间太短,无法清晰醒目地承载所有必需的租赁条款。
第 3 步 - 专家决策:不要在高速广告牌上以付款金额为主导。
第 4 步 - 重新构思路侧信息:

  • 广告牌:RAV4 租赁活动 / 史密斯丰田 / 下一个出口
  • 临街立板、着陆页、VDP 或较慢接触媒体:完整的合规付款堆栈

为什么有效:广告牌变成了目的地/活动提示,而不是不合规的金融广告。
新手设计师的做法:将必需的租赁语言作为微小页脚添加。
为什么失败:如果披露信息实际上无法被阅读和理解,那就不是清晰醒目的。

示例 3:多品牌门店的服务车道拥堵

简报:“顾客一直错过快速服务入口。”

正确的做法:

  • 首先使用方向层级:快速服务 ->
  • 仅在次要情况下添加品牌
  • 完全从车道标识上移除销售文案

原因:运营性的指引减少摩擦,并且只有在明确无误的情况下才能带来收入。促销杂乱会降低转化率。

质量检查点

  • 标识有一个主要任务:定位、吸引车流或引导车流
  • 高速概念使用一个优惠和一个行动提示,而不是一堆优惠
  • 最强的词语或数字是最重要的商业信息
  • 字体粗犷易读,而非装饰性
  • 对比度足够强,便于快速路边检测
  • 预期的接近距离和观看速度已检查
  • 与建筑物平行的标识尺寸未按垂直于道路的标识进行设计
  • 如果出现价格、付款、APR 或租赁条款,在布局锁定前已检查合规性
  • 如果必需的条款无法保持清晰醒目,则已更改概念而不是缩小法律文本
  • 服务车道和场地标识已从实际驾驶员接近路线进行实地检查
  • 经销商声明真实且通常/通常可用

参考文件

文件何时阅读原因
references/roadside-legibility-and-placement.md需要调整尺寸、距离、文案密度、数字板或放置指导时提供限制创意的硬性可见性规则
references/dealer-offer-architecture.md在决定哪种经销商信息应放在哪种标识上时将经销商目标映射到标识类型和优惠堆栈
references/auto-ad-compliance.md任何价格、付款、APR、租赁、签约时应付或融资语言出现时解释会改变设计的 FTC、Reg Z 和 Reg M 触发条件

不适用边界

请勿将此技能用于:

  • 制造图纸、工程或安装规格
  • 分区、许可、当地标识法规或亮度法规审查
  • OEM 联合审批包或品牌标准执行
  • 网页横幅、付费社交媒体、搜索广告或电子邮件活动
  • 媒介无法承载披露负担的以金融为核心内容的创意

当出现以下情况时,请升级或委派:

  • 当地法规或房东限制可能控制尺寸、亮度或位置
  • 客户坚持无法在可读性和合规性之间取得平衡的付款主导路侧创意
  • 多个特许经营权或 OEM 品牌系统引入审批约束

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

curiositech/windags-skills

Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-reactive visuals, and psychedelic generative art. Activate on "Milkdrop", "music visualization", "WebGL visualizer", "Butterchurn", "audio reactive", "FFT visualization", "spectrum analyzer". NOT for simple bar charts/waveforms (use basic canvas), video editing, or non-audio visuals.

curiositech/windags-skills

Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.

curiositech/windags-skills

Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).

curiositech/windags-skills

Implement WCAG 2.2 AA/AAA compliance with automated testing, keyboard navigation, screen reader support, and focus management. Activate on: accessibility audit, WCAG compliance, keyboard navigation, screen reader, aria attributes, axe-core, focus trap. NOT for: design-level accessibility review (use design-accessibility-auditor), color contrast only (use css-in-js-architect).

curiositech/windags-skills

Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.

curiositech/windags-skills

Designs digital experiences for ADHD brains using neuroscience research and UX principles. Expert in reducing cognitive load, time blindness solutions, dopamine-driven engagement, and compassionate design patterns. Activate on 'ADHD design', 'cognitive load', 'accessibility', 'neurodivergent UX', 'time blindness', 'dopamine-driven', 'executive function'. NOT for general accessibility (WCAG only), neurotypical UX design, or simple UI styling without ADHD context.

curiositech/windags-skills

>- Apply crisis decision-making research to agent routing, uncertainty triage, and coordination failure analysis in time-pressured systems. Use when diagnosing handoff failures, analytical paralysis, or expert judgment under incomplete information. NOT for routine coding, simple CRUD design, or static single-agent tasks with complete information.

curiositech/windags-skills

Extend and modify the admin dashboard, developer portal, and operations console. Use when adding new admin tabs, metrics, monitoring features, or internal tools. Activates for dashboard development, analytics, user management, and internal tooling.

curiositech/windags-skills

Conversation patterns and interaction protocols for multi-agent systems. Covers request/response, pub/sub, blackboard, delegation chains, debate, critique, consensus, fan-out/fan-in, supervisor-worker, and peer negotiation. Deep analysis of AutoGen conversation patterns, CrewAI delegation, LangGraph state passing, and FIPA-ACL performatives. Teaches how to design what agents say to each other and in what order. Activate on: "agent conversation", "agent protocol", "multi-agent debate", "agent delegation", "supervisor worker pattern", "agent voting", "consensus protocol", "fan-out fan-in", "agent negotiation", "blackboard pattern", "agent dialogue", "conversation topology", "agent handoff". NOT for: wire format or serialization (use agent-interchange-formats), orchestration infrastructure (use agentic-infrastructure-2026), single agent behavior (use agentic-patterns).

curiositech/windags-skills

Meta-agent for creating new custom agents, skills, and MCP integrations. Expert in agent design, MCP development, skill architecture, and rapid prototyping. Activate on 'create agent', 'new skill', 'MCP server', 'custom tool', 'agent design'. NOT for using existing agents (invoke them directly), general coding (use language-specific skills), or infrastructure setup (use deployment-engineer).

curiositech/windags-skills

AI-powered calendar management and agent-based scheduling coordination. Covers calendar APIs (Google Calendar, CalDAV/iCal), AI scheduling assistants (Reclaim, Clockwise, Motion, Cal.com), building custom calendar agents with MCP, multi-calendar merging, timezone management, focus block protection, meeting fatigue detection, and agent-to-agent meeting negotiation protocols. Activate on: "calendar agent", "AI scheduling", "calendar coordination", "meeting scheduling", "calendar API", "focus time protection", "calendar optimization", "Google Calendar MCP", "Reclaim", "Clockwise", "Motion", "Cal.com", "smart scheduling", "calendar-aware agent", "timezone scheduling", "agent negotiation meetings". NOT for: manual calendar UI component design (use form-validation-architect), project management scheduling or Gantt charts (use project-management-guru-adhd), general time-tracking or pomodoro apps (use adhd-daily-planner for time-awareness), building the agent itself from scratch (use agent-creator).

curiositech/windags-skills

Build and adopt production AI agent infrastructure in 2026. Covers framework selection (LangGraph, CrewAI, AutoGen, MCP), orchestration patterns, evaluation, observability, memory systems, and tool use. Also covers the SOCIAL dimension: how to sell agent infrastructure internally, change management, measuring ROI, building trust in autonomous systems, and scaling adoption across teams. Activate on: "agent infrastructure", "agent framework comparison", "which agent framework", "sell AI tools internally", "agent adoption", "agent observability", "agent evaluation", "MCP architecture", "agentic mesh", "enterprise AI agents", "AI change management", "agent ROI". NOT for: building specific agents (use ai-engineer), designing agent behavior patterns (use agentic-patterns), prompt tuning (use prompt-engineer).

curiositech/windags-skills

Fundamental patterns for effective agentic behavior. Teaches decomposition, tool orchestration, error recovery, context management, quality self-assessment, and knowing when to stop. Model-agnostic principles that make any agent more effective regardless of domain. Activate on: "how should I structure this agent", "agentic workflow", "agent patterns", "multi-step task", "tool orchestration", "/agentic-patterns", "decompose this", "agent best practices", "chain of actions", "when should the agent stop", "agent loop design". NOT for: creating agent infrastructure (use agent-creator), building DAGs (use windags-architect), specific tool implementation.

curiositech/windags-skills

Automated discovery and matching of agent skills for dynamic task routing and capability assessment

curiositech/windags-skills

Cryptographic security for agentic systems — zero-trust agent networking, signed message envelopes (JWS/JWE), capability-based security (ocaps), Merkle tree audit trails, WASM sandboxing, and formal verification. Covers CLI dev tool security, mTLS between agents, permission boundaries (least privilege for AI agents), and supply chain security for skills/plugins. Activate on: "agent security", "zero trust agents", "secure agent communication", "capability-based security", "ocap", "signed messages between agents", "agent audit trail", "sandbox agent execution", "agent permissions", "mTLS agents", "cryptographic verification", "agent supply chain", "OWASP agentic", "prove agent did X", "tamper-proof agent logs". NOT for: application-level SAST scanning (use security-auditor), network firewall rules (use infrastructure), SOC2/HIPAA compliance (organizational), or prompt injection defense (use prompt-engineer).

curiositech/windags-skills

Data structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context windows as data structures. Deep comparison of A2A protocol, MCP, OpenAI function calling, and LangChain message types. Teaches when to use rigid schemas vs free-form with validation, typed vs untyped, streaming vs batch. Activate on: "agent message format", "agent communication schema", "agent-to-agent protocol", "A2A protocol", "MCP message format", "structured output for agents", "agent interop", "interchange format", "agent serialization", "task handoff format", "capability declaration". NOT for: what agents say to each other (use agent-conversation-protocols), orchestration topology (use multi-agent-coordination), building agent infrastructure (use agentic-infrastructure-2026).

curiositech/windags-skills

Logic-based agent programming language implementing BDI architecture for practical autonomous agent development

curiositech/windags-skills

>- Design AgentSpeak(L)-style BDI agents with context-guarded plans, selection functions, and intention stacks. Use for interruptible autonomy, agent policy, and multi-agent orchestration in dynamic environments. NOT for simple rule engines, static planners, or centralized workflows.

curiositech/windags-skills

Foundational concurrent computation model where actors communicate exclusively through asynchronous message passing

curiositech/windags-skills

license: Apache-2.0 NOT for unrelated tasks outside this domain.

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