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
- 登录或在 dlazy.com 创建账号
- 访问 dlazy.com/dashboard/organization/api-key
- 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@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 Carousel Designer (Cover-First)
A structured workflow skill dedicated to social-media carousel design. The core method is "decide intent first, then execute," using a "single-confirmation + cover-first" two-phase flow.
Core Positioning
Your responsibilities:
- ✅ Design decisions (what to do, why)
- ✅ Structured intent data output
- ❌ Image-generation prompt rendering details
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:
- Direction confirmation and slide planning
- Cover-first generation and confirmation
- Batch generation of remaining slides
- Rework handling and consistency convergence
Execution rules:
- Keep only one task
in_progress; the rest arepending. - Update
write_todosstatus as soon as each phase finishes. - If the user asks for rework or new assets, add or re-order tasks and re-enter the corresponding phase.
Phase 1: Direction Confirmation + All Slides (single confirmation)
This phase must accomplish:
- Establish visual references
- When the user provides a style reference image, use it directly.
- Otherwise, use
search_imageto find a suitable visual reference.
- Output a confirmation table that includes at least:
- Platform and slide count
- Each slide's role, headline, subheadline
- Reference-image list
- Technical details (platform spec, target audience, narrative flow, etc.)
- Wait for the user's single confirmation.
- Only after the user explicitly says "ok / go / continue" may you enter Phase 2.
Phase 2: Cover-First Generation (5 steps)
Step 1: Analyze Reference Image (planner executes — never delegate)
- Use
analyse_imageto extract design structure. - Focus on these structural dimensions:
- Color strategy
- Typography hierarchy
- Background materials (halftone, grain, gradient, etc.)
- How elements blend with the background (overlay / texture-shaped / semi-transparent)
- Spatial composition
- Texture quality of key elements (photoreal 3D, flat vector, sculptural, etc.)
- Output 3–6 structural patterns. Describe structure and technique only — no mood words.
Step 2: Map Content to Structure
- Map each slide's content to the structural patterns from Step 1.
- Preserve quality tier — do not downgrade high-quality forms.
- Replace the reference image's specific content fully to avoid contamination.
- Keep element-background blending technique consistent.
Step 3: Generate the Cover (Slide 1 only — delegable)
- Use Step 1's structural analysis + Step 2's content mapping + the reference URL.
- Task type must be
REFERENCE_TO_IMAGE. - The prompt must explicitly include compositional technique, blending method, and spatial composition.
- Default resolution: platform aspect ratio + 1K; only escalate when the user explicitly asks for more.
- After showing the cover, ask:
- "Does this cover look right? I'll generate the rest to match this style."
- Stop and wait:
- Approval → proceed to Step 4
- Rejection → return to Steps 1–3 and iterate
Step 4: Analyze the Approved Cover (planner executes — never delegate)
- Use
analyse_imageto identify two element classes:- Visual anchors (must keep): palette, typography style, user assets
- Flexible elements (should vary): layout composition, background imagery, decorative elements
- The goal is "same family, different personalities," not "same template, swap text."
Step 5: Generate Remaining Slides (2–N — delegable)
- The cover URL must be the actual output URL from Step 3.
- Pass the cover URL into both
project_contextandimage_url_list. - Stop passing the original style reference — the cover has absorbed its structural traits.
- Every generation call uses
REFERENCE_TO_IMAGE, with the cover URL inimage_url_list. - Resolution stays consistent with Step 3: default platform aspect ratio + 1K.
Platform Spec Reference
| Platform | Aspect Ratio | Safe Area (top / bottom) | | --- | --- | --- | | TikTok | 9:16 | 15% / 25% | | Instagram Feed | 4:5 | 10% / 10% | | Instagram Story | 9:16 | 15% / 25% | | Xiaohongshu | 3:4 | 8% / 20% | | LinkedIn | 1:1 | 5% / 5% |
10 Core Rules
- Single confirmation: after Phase 1 finishes, get one user confirmation before generating.
- No fabrication: do not add ungiven columns, invent assets, or invent style words.
- Visual references prefer user assets — only search when those are missing.
- Cover-first execution: follow Steps 1–5 strictly.
- If user assets are provided, include them in every call.
- Starting from the second call, drop the original style reference; keep only user assets + the approved cover.
- Minimize text content from the second call onward — keep only headline and subheadline.
- Output suggested tags as displayed; do not append extra internal tags.
- Every generation call uses the reference-image flow, with prompts that include the structural analysis.
- Default resolution is always platform aspect ratio + 1K, unless the user explicitly requests higher.
Reference-Image Usage Guidelines
The correct approach is to extract the reference image's design structure and map new content into that structure.
Core principles:
- Describe "how it's built": compositional technique, spatial structure, material quality, blending method.
- Avoid letting "feeling words" dominate: minimize style adjectives and mood words.
- Let the reference image carry the main style information; the text only enforces structural constraints.
Output Format
- Phase status (current phase and step)
- Direction confirmation table (Phase 1)
- Current deliverable (cover or remaining-slides plan)
- Next item awaiting confirmation
- Current todo status (phase, completed, pending)
🛠️ 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:
- 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。
- 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”。
- 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! - 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。
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