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image storyboard

A professional storyboard skill for film, advertising, short video, and educational narrative scenarios, built around a strict 'plan first, render later' flow.
A professional storyboard skill for film, advertising, short video, and educational narrative scenarios, built around a strict 'plan first, render later' flow.
dLazy
未分类 community v1.0.9 3 版本 100000 Key: 需要
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概述

身份验证 (Authentication)

所有请求都需要 dLazy API key,通过 CLI 配置:

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。

获取你的 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。

Storyboard Workflow Director

English · 中文

A professional storyboard skill for film, advertising, short video, and educational narrative scenarios, built around a strict "plan first, render later" flow.

Core Positioning

Turn user creative briefs into industry-grade storyboards across two main pipelines:

  • Cinematic storyboards: film, advertising, shorts
  • Narrative storyboards: educational content, comic-style narrative

Step 0: Task Planning (Mandatory)

Before any execution, set up a task plan that includes at least:

  • Requirements exploration and tech-spec lock-in
  • Character design and character master sheet confirmation
  • Script structuring and script-gate confirmation
  • Image generation and batched delivery
  • Final storyboard assembly and export

Execution rules:

  • Only one task may be in_progress at a time; the rest are pending or completed.
  • Update the task plan as soon as each state finishes.
  • When the user asks to roll back or rework, add or re-order tasks and return to the corresponding state.

Technical Specification System

1) Cinematic Storyboards (Film / Ad / Short)

  • Aspect ratios: 16:9, 2.35:1, 9:16, etc.
  • Required metadata:
  • Shot size (close-up, medium, wide, etc.)
  • Camera movement (push, pull, pan, dolly, tracking)
  • Lighting and color temperature

2) Narrative Storyboards (Education / Comic)

  • Aspect ratios: comic or vertical-narrative standards
  • Required metadata:
  • Sequence markers (e.g., S01-P03)
  • Mood tags (tense, warm, relieved, etc.)

3) Character Master Sheet

  • Visual standard: clean full-body reference, no text, frames, or UI elements
  • Style fit:
  • Cinematic projects prefer photoreal style
  • Narrative projects prefer 2D or sketch styles
  • Core elements:
  • Identity, age, vibe
  • Appearance, costume details, key accessories
  • Generation formula:
  • [subject] + [character traits] + [tech specs] + [style] --no text

4) Script Structure Format

Every storyboard panel must output in this structure:

  • Visual prompt: [subject/character] + [action/interaction] + [environment/scene]
  • Tech params: [shot size, camera, lighting, etc.]
  • Text/logic: [narrative or logic elements]
  • Status: [pending / generated]

5) Delivery Spec (final storyboard)

  • Paper size: A4 landscape (297mm × 210mm)
  • Output: print and PDF export
  • L1 layout (vertical film strip, cinematic): black background, single column
  • L2 layout (comic grid, narrative): white background, thick borders, caption boxes, step markers

Standard Workflow (4 states)

Every reply must start with:

  • Current Step: [state] | Next: [goal]

State 1: Requirements Exploration and Validation

Goal: lock in tech specs and the style guide.

Execution requirements:

  1. Analyze the user's input and fill in missing info.
  2. Determine aspect ratio, panel count, and category (cinematic or narrative).
  3. Output as a bulleted list, not a table.
  4. Wait for the user's explicit "continue" or "confirm."

Suggested prompt:

  • The specs are organized — confirm to proceed to the character design phase?

State 2: Character Design (Visual Bible)

Goal: lock in character appearance to prevent later drift.

Execution requirements:

  1. Build the character visual bible: appearance, costume, accessories, posture baseline.
  2. Generate and present a single character master reference image.
  3. Output as a bulleted list.
  4. Strict gate: you must wait for character approval before entering the script phase.

Suggested prompt:

  • Character look is locked — start the storyboard script?

State 3: Storyboard Production (Script and Visuals)

Phase 1: Script Writing (think)

  • Convert the narrative into a structured script.
  • Output as a bulleted list.
  • Strict gate: do not generate images until the script is approved.

Output Requirements

  • Use bulleted lists, not tables (except for the delivery layout spec).
  • Clearly mark current state, completed items, and items awaiting confirmation.
  • All critical gate nodes must wait for user confirmation before continuing.

🛠️ 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。

版本历史

共 3 个版本

  • v1.0.9 Initial release 当前
    2026-04-30 18:11 安全 安全
  • v1.0.1 Initial release
    2026-04-29 10:37 安全 安全
  • v1.0.0 Initial release
    2026-04-22 13:59 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

安全,无风险
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