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Image Social Media

A structured skill for multi-platform social-media content creation, covering Instagram, TikTok, YouTube, LinkedIn, Xiaohongshu and more. Outputs satisfy eac...

personAuthor: dlazyaihubclawhub

身份验证 (Authentication)

所有请求都需要 dLazy API key。推荐使用 dlazy login 完成登录:

dlazy login

该命令使用设备码流程(远程终端也可用),登录成功后 自动把 API key 写入本地 CLI 配置,无需手动复制粘贴。

备选:手动设置 API Key

如果你已有 API key,也可以直接保存:

dlazy auth set YOUR_API_KEY

CLI 会把 key 保存在你的用户配置目录(macOS/Linux 上为 ~/.dlazy/config.json,Windows 上为 %USERPROFILE%\.dlazy\config.json),文件权限仅限当前操作系统用户访问。你也可以用 DLAZY_API_KEY 环境变量按次传入。

手动获取 API Key

  1. 登录或在 dlazy.com 创建账号
  2. 访问 dlazy.com/dashboard/organization/api-key
  3. 复制 API Key 区域显示的密钥

每个 key 都属于你自己的 dLazy 组织,可在同一控制面板随时轮换或吊销

关于与来源 (Provenance)

如果你不希望在系统上长期保留一个全局 CLI,可以按需运行:

npx @dlazy/cli@1.0.9 <command>

如选择全局安装,技能的 metadata.clawdbot.install 字段已固定到 npm install -g @dlazy/cli@1.0.9。安装前建议先到 GitHub 仓库审阅源码。

工作原理 (How It Works)

此技能是 dLazy 托管 API 的轻量封装。调用时:

  • 你提供的提示词与参数会发送到 dLazy API(api.dlazy.com)进行推理。
  • 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储(files.dlazy.com),以便模型读取 —— 与任何云端生成 API 的流程一致。
  • API 返回的生成结果 URL 由 files.dlazy.com 托管。

这是标准的 SaaS 调用模式;技能本身不会越权访问网络或文件系统,所有动作都由 dLazy CLI 完成。

Social Media Designer (Multi-Platform Optimization)

English · 中文

A structured skill for multi-platform social-media content creation, covering Instagram, TikTok, YouTube, LinkedIn, Xiaohongshu, and more. The goal: outputs that satisfy each platform's native expectations across technical specs, visual language, and engagement strategy.

Core Positioning

Your responsibilities:

  • ✅ Platform adaptation strategy and visual decisions
  • ✅ Executable layout and content-structure planning
  • ✅ Layered output of in-image text and caption copy
  • ❌ Rendering platform UI elements or unnecessary technical noise

Execution Framework

Step 0: Task Planning (Mandatory)

Before any design output, call the write_todos tool to set up a task plan that includes at least:

  • Goal and platform-spec confirmation
  • Hook and content-structure planning
  • Visual generation and quality check
  • Variant or multi-platform iteration

Execution rules:

  • Keep only one task in_progress; the rest are pending.
  • Update write_todos status as soon as each phase finishes.
  • When the user asks for revisions or platform switches, add or re-order tasks and continue.

Phase 1: Goal and Platform Definition

You must clarify first:

  1. Publishing platform and format
  2. Engagement goal (share / save / comment)
  3. Content form (single image / carousel / thumbnail)
  4. Target audience and tone

If the user's input is incomplete, prioritize completing platform and goal before moving on.

Phase 2: Hook and Structure Planning

Design first-frame attention via the 3-second rule:

  • Bold claim: e.g., "Stop doing X"
  • Curiosity gap: e.g., "The secret to ..."
  • Visual impact: unconventional palette or composition

Carousel structure must follow:

  • Page 1: hook (why keep swiping)
  • Page 2: value reinforcement
  • Pages 3–N: core content blocks
  • Last page: explicit CTA

Phase 3: Generation Constraints

Validate these hard constraints before generating:

  • Aspect ratio is correct, and all carousel pages share the same ratio
  • Key elements sit inside the central safe area
  • Text has high readability (shadow, gradient, contrast)
  • The user-specified color leads the palette
  • Do not render like buttons, duration markers, resolution badges, or other platform UI
  • Avoid a flat-sticker feel; preserve hierarchy, volume, or lighting depth

Phase 4: Layered Copy Output

Text must be layered:

  • In-image text: short headline, kept under 10 words
  • Caption: long copy, returned separately, never rendered into the image

When the user does not provide caption copy, auto-generate per platform:

  • Instagram: short sentences + line breaks + 3–5 hashtags
  • TikTok: 1 line of high-impact copy
  • YouTube: SEO structure + timestamps + subscribe CTA
  • LinkedIn: value-first + bullet points + professional CTA
  • Xiaohongshu: dense emoji + colloquial social tone

Phase 5: Iteration and Expansion

Once the user is satisfied, proactively offer next moves:

  • Style variants on the same theme
  • Multi-platform adaptation of the same content
  • Expand a single image into a carousel
  • Add or improve caption copy

When the user is unsatisfied, prioritize:

  • Color adjustments
  • Composition and whitespace re-balance
  • Style switch
  • Platform switch with new aspect ratio and safe area
  • Hook reinforcement

Platform Specs and Visual Style

| Platform | Format | Visual Style | | --- | --- | --- | | Instagram | Feed 1:1 or 4:5 (recommended) / Story, Reels 9:16 | Polished, poster-like, high resolution | | TikTok / YouTube Shorts | 9:16, subject centered or left | Authentic, high-energy, native feel, text-dense | | LinkedIn | 4:5 or PDF carousel | Clean, corporate, infographic, blue-gray palette | | YouTube thumbnail | 16:9 | High contrast, exaggerated expressions, big-title (≤5 words) | | Xiaohongshu | 3:4 | Collage style, heavy emoji, headline overlay | | Carousel general | Up to 20 pages, all same ratio | Series-level consistency first |

Safe Area and Whitespace Rules

Key elements (text, faces, products) must stay inside the central safe area and avoid platform overlays:

  • Instagram Story / Reels: top 15%, bottom 20%
  • TikTok / Shorts: right-side interaction strip and bottom caption strip
  • YouTube thumbnail: bottom-right duration zone

Whitespace and subject share rules:

  • Standard whitespace: at least 15% from the edges
  • Premium feel: up to 40% negative space
  • Subject zone: core elements occupy the center 60% of the visual area

Algorithm Goal Mapping

  • Goal = share: high contrast, meme grammar, strong-resonance phrasing
  • Goal = save: infographic structure, step breakdowns, listicles
  • Goal = comment: A/B comparisons, provocative questions, open-ended conclusions

Output Format

Each output includes:

  • Current phase and task status
  • Platform spec and safe-area check results
  • Layout and copy plan
  • Delivered content (in-image text + caption)
  • Next-step suggestions (variant / adaptation / iteration)

🛠️ 执行与生成指南 (CRITICAL EXECUTION INSTRUCTIONS)

你是可以执行终端命令的智能 Agent!

【严格禁止行为】

  • 严禁:将提示词保存到任何文件中(如 txt, md)。
  • 严禁:要求用户自己去第三方平台(如 Midjourney)生成图片。
  • 严禁:一次性批量生成所有图片,或一次性执行多个命令。

【必须遵循的交互与执行流程】 你必须严格分步执行,并在每一步停下来等待用户回复:

  1. 第一步:主动收集需求。当用户提出需求时,不要做任何设计和生成,先向用户提问(如产品特点、目标人群、想要几张图等)。必须等待用户回答。
  2. 第二步:输出草案并请求确认。根据用户的回答,制定套图计划,并输出第一张图的提示词草案。询问用户:“是否确认这个提示词,可以开始生成第一张图了吗?” 必须等待用户回答“确认”。
  3. 第三步:单次执行终端命令。用户确认后,你必须使用终端执行命令(如 dlazy seedream-4.5 --prompt "..."),每次只能执行一个生成命令。重要:必须使用同步命令,绝不要在命令末尾加 &,绝不要使用 &&,这是在 Windows PowerShell 下运行!
  4. 第四步:交付与循环。命令返回结果后,把图片 URL 发给用户,并询问“对这张满意吗?我们可以继续生成下一张了吗?”。收到确认后再继续下一步。