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curiositech/windags-skills

為企業(尤其是汽車經銷商)設計路邊招牌與大型廣告。適用於立柱式招牌、紀念碑式招牌、停車場橫幅、高速公路看板、數位路邊看板、服務車道標示、二手車活動標示、租賃或分期活動概念,以及其他需要快速閱讀、強調報價階層與經銷商廣告合規性的駕駛速讀訊息。

windags-skills 是什麼?

此技能專注於為汽車經銷商設計路邊招牌與大型廣告,其核心在於同時滿足駕駛員快速認知與經銷商廣告真實性兩大過濾條件。技能涵蓋從高速看板到服務車道標示等多種格式,並提供嚴謹的決策樹來引導用戶選擇正確的招牌類型與訊息層級。它特別強調合規性,尤其是當設計涉及價格、付款或租賃語言時,會引導用戶參考特定參考文件(如 `references/auto-ad-compliance.md`)以確保符合 FTC、Reg Z 和 Reg M 等法規要求。此技能支援多種開發平台與 AI 代理工具,因為其核心邏輯是以純文字規則與結構化參考文件呈現,易於整合。它透過定義清晰的「失敗模式」與「品質閘門」,幫助用戶避開常見陷阱(如「報價大雜燴」),並提供詳盡的工作案例來說明如何為不同場景(如二手車活動或租賃促銷)壓縮訊息、建立階層,最終產出既醒目又合規的設計。

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

在你喜歡的 AI 中提問

開啟一個已預先載入此 Agent Skill 的新對話。

說明文件

汽車經銷商路邊招牌標示設計

為正在移動、分心且需快速決策的駕駛人設計路邊招牌。對經銷商而言,這表示每個概念都必須同時通過兩個過濾器:

  1. 駕駛員的認知能力與高速可讀性
  2. 經銷商廣告的真實性(當出現價格、付款或租賃語言時)

你的預設立場:將訊息壓縮得比客戶想要的更緊湊,然後以可見性、可操作性與合規性來捍衛這個壓縮結果。

決策點

主要格式分類

flowchart TD
    A[新的路邊訊息需求] --> B{主要任務?}
    B -->|標示店面位置| C[識別招牌:立柱式或紀念碑式]
    B -->|從道路吸引車流| D{車流速度與停留時間}
    B -->|促進停車場車輛流動| E[指引:服務車道、二手車區、停車區、入口/出口]
    B -->|解釋複雜的金融方案| F[通常是錯誤的媒介 - 將細節移至較慢觸及的媒體]

    D -->|時速 35 英里以上,一眼看過| G[高速路邊或看板]
    D -->|時速 35 英里以下,重複曝光| H[臨街看板、橫幅、櫥窗、數位紀念碑式招牌]

    G --> I{什麼最重要?}
    I -->|品牌與位置| J[品牌主導訊息]
    I -->|單一活動或庫存提示| K[報價主導訊息,附帶一個證明點]
    I -->|月付款或租賃數字| L[先執行合規性檢查]

    L --> M{所有必要條件能否在高速下保持清晰顯眼?}
    M -->|否| N[放棄以付款為主導的創意;改用活動、庫存或目的地為主]
    M -->|是| O[僅在遵守嚴格的階層規則下使用付款主導創意]

訊息階層規則

除非工作指示有充分理由,否則請依此優先順序使用:

  1. 目的地:廣告的對象或地點
  2. 單一報價:一個活動、一個庫存主張、一個服務承諾或一個證明點
  3. 行動提示:下一個出口、下一個右轉、來電、僅限行人情境的 QR 碼,或今日蒞臨

如果概念需要第四層才能合理,那麼媒介可能錯了,或訊息仍然太寬泛。

經銷商特定選擇規則

如果經銷商目標是:

  • 漏斗頂端認知 -> 使用品牌、店面名稱、車輛類別與位置
  • 週末活動或庫存推廣 -> 使用一個具體的鉤子:「CERTIFIED USED」、「TRUCK MONTH」、「OVER 150 USED CARS」等
  • 服務回廠 -> 使用服務優點加上方向指引,而非一般的經銷商品牌宣傳
  • 金融或租賃方案 -> 將合規性視為「通過/不通過」的關卡,而非頁尾例行工作

付款與租賃紅旗

如果設計提及以下任何項目,請先停止並載入 references/auto-ad-compliance.md 再定稿:

  • 頭期款或交車時應付金額
  • 付款次數或還款期限
  • 月付款金額
  • 金融費用
  • 租賃付款
  • 資本化成本減額
  • 「零頭期款」或類似的融資用語

失敗模式

報價大雜燴

症狀:年利率、回饋金、換車獎金、庫存數量與服務促銷全部擠在同一塊看板上。
檢測:出現超過一個主要主張或超過兩個訊息元素。
修正:每個版面只保留一個報價。將其餘部分轉化為跨越多個看板或格式的活動序列。

錯誤的招牌類型

症狀:試圖讓立柱式招牌發揮傳單的功能,或讓停車場指引承載銷售宣傳。
檢測:觀看者必須在一眼之內解讀超過「在哪裡」、「是什麼」或「轉彎處」。
修正:將識別、促銷與指引區分為不同的招牌。

付款主導看板陷阱

症狀:看板標題是「$299/月」,但法律要求的附帶資訊在高速下太小而無法閱讀。
檢測:觸發條款出現,但設計無法讓必要條款保持清晰顯眼。
修正:從高速看板移除付款主導的主張。改用活動、車型家族或目的地為主。

華麗但難以辨識

症狀:細字型、手寫體、低對比、主要車輛圖片缺乏焦點。
檢測:在停車場模擬測試或從預期接近距離難以閱讀。
修正:使用樸實的字體、更強的對比、更大的數字,以及一個或無焦點圖像。

平行牆面可見度失誤

症狀:安裝在建築物上的牆面招牌在駕駛人經過店面時才消失。
檢測:招牌與道路平行,但尺寸與垂直招牌相同。
修正:顯著增大尺寸,或改為垂直/紀念碑式設置。載入 references/roadside-legibility-and-placement.md。

停車場混亂

症狀:顧客錯過服務報到處、二手車庫存或出口動線,因為方向指示牌也試圖做廣告。
檢測:箭頭與車道標籤與促銷文案競爭。
修正:將場內指引視為營運標示優先,廣告其次。

工作案例

範例 1:在時速 45 英里的主要道路上的認證二手車活動

工作指示:「Honda 經銷商希望為週末認證二手車活動設置一個路邊看板。」

步驟 1 - 了解道路情境:時速 45-50 英里的車流意味著高速觀看。訊息必須在足夠遠的距離即可閱讀,以便駕駛員做出反應。
步驟 2 - 選擇任務:這不是金融解釋。這是一個活動吸引。
步驟 3 - 壓縮報價:僅使用一個證明點。好的候選人:「CERTIFIED USED HONDAS」或「150+ USED CARS」。
步驟 4 - 建立階層:

  • 第一行:CERTIFIED USED HONDAS
  • 第二行:THIS WEEKEND
  • 第三行:NEXT RIGHT

為何有效:它告訴駕駛員店裡提供什麼、為何現在以及下一步做什麼。
應拒絕的事項:「CERTIFIED USED HONDAS / $0 DOWN / LOW APR / BAD CREDIT OK / TRADE BONUS / NEXT RIGHT。」這不是一個招牌,而是六個互相競爭的廣告假裝成一個。

範例 2:經銷商想要一個「$299/月租賃」看板

工作指示:「Toyota 經銷商希望為 RAV4 租賃特惠 $299/月設置一個高速公路看板。」

步驟 1 - 合規性關卡:租賃付款金額是觸發條款。這會強制增加額外的租賃揭露事項。
步驟 2 - 媒介檢查:高速公路看板的停留時間太短,無法清楚顯眼地承載所有必要的租賃條款。
步驟 3 - 專家決策:不要在高速看板上以付款金額為主導。
步驟 4 - 重新框架路邊訊息:

  • 看板:RAV4 LEASE EVENT / SMITH TOYOTA / NEXT EXIT
  • 臨街看板、登陸頁面、車輛詳細資料頁面或較慢觸及的媒體:完整的合規付款堆疊

為何有效:看板變成目的地/活動提示,而非不合規的金融廣告。
新手設計師的做法:將所需的租賃語言作為微小的頁尾細字加入。
為何失敗:如果揭露事項實際上無法被閱讀和理解,就不算是清晰顯眼。

範例 3:多品牌店面停車場的服務車道壅塞

工作指示:「顧客一直錯過快速服務入口。」

正確做法:

  • 先使用方向階層:EXPRESS SERVICE ->
  • 僅在次要時才加入品牌
  • 完全從車道標示移除銷售文案

原因:營運指引只有在明確無誤時才能減少摩擦並捕捉營收。促銷雜亂會降低轉換率。

品質閘門

  • 招牌有一個主要任務:標示位置、吸引車流或引導車流
  • 高速概念使用一個報價和一個行動提示,而非一堆報價
  • 最強烈的詞語或數字是對業務最重要的訊息
  • 字體樸實且易讀,而非裝飾性
  • 對比強度足以快速路邊偵測
  • 已檢查預期接近距離與觀看速度
  • 與建築物平行的招牌尺寸未與垂直招牌相同
  • 如果出現價格、付款、年利率或租賃條款,則在版面鎖定前已檢查合規性
  • 如果必要條款無法保持清晰顯眼,則更改概念而非縮小法律文字
  • 服務車道與停車場招牌已從實際駕駛員接近角度進行現場檢查
  • 經銷商主張真實且通常/習慣上可取得

參考文件

檔案何時閱讀原因
references/roadside-legibility-and-placement.md你需要尺寸、距離、文案密度、數位看板或放置指導提供限制創意的硬性可見度規則
references/dealer-offer-architecture.md你在選擇哪種經銷商訊息應放在哪種招牌上將經銷商目標映射到招牌類型和報價堆疊
references/auto-ad-compliance.md出現任何價格、付款、年利率、租賃、交車應付款或融資語言解釋會改變設計的 FTC、Reg Z 與 Reg M 觸發條件

不適用範圍

請勿將此技能用於:

  • 製造圖紙、工程或安裝規範
  • 分區、許可、當地招牌法規或亮度法規審查
  • OEM 合作批准文件或品牌標準執行
  • 網頁橫幅、付費社群媒體、搜尋廣告或電子郵件活動
  • 當媒介無法承載揭露負擔時,以金融為主的創意

當以下情況時,請升級或委派:

  • 當地法規或房東限制可能控制尺寸、亮度或放置位置
  • 客戶堅持以付款為主導的路邊創意,但無法使其清晰易讀又合規
  • 多個加盟品牌或 OEM 品牌系統引入了批准限制

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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