Image Social Media

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

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)

• CLI 源代码: github.com/dlazyai/cli
• 维护者: dlazyai
• npm 包名: @dlazy/cli（本技能 install 字段固定到 1.0.9 版本）
• 官网: dlazy.com

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@latest <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@latest。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。