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dlazyai

Logo Branding System

作者 dlazy · GitHub ↗ · v1.0.5 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install logo-branding-system
功能描述
A professional pipeline for building everything from a core mark to a complete brand visual system, ensuring creative quality, execution consistency, and shi...
使用说明 (SKILL.md)

Authentication

All requests require a dLazy API key. The recommended way to obtain and store one is the browser-based device login flow:

dlazy login

This opens dlazy.com in your browser for approval and persists the key for you. If you already have a key on hand, configure it directly:

dlazy auth set YOUR_API_KEY

The CLI saves the key to ~/.dlazy/config.json (%USERPROFILE%\.dlazy\config.json on Windows). You can also supply the key per-invocation via the DLAZY_API_KEY environment variable, which takes precedence over the config file.

Getting Your API Key

  1. Sign in or create an account at dlazy.com
  2. Go to dlazy.com/dashboard/organization/api-key
  3. Copy the key shown in the API Key section

Each key is scoped to your dLazy organization and can be rotated or revoked at any time from the same dashboard.

About & Provenance

You can install on demand without persisting a global binary by running:

npx @dlazy/[email protected] \x3Ccommand>

Or, if you prefer a global install, the skill's metadata.clawdbot.install field declares the exact pinned version (npm install -g @dlazy/[email protected]). Review the GitHub source before installing.

How It Works

This skill is a thin client over the dLazy hosted API. When you invoke it:

  • Prompts and parameters you provide are sent to the dLazy API endpoint (api.dlazy.com) for inference.
  • Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (oss.dlazy.com) so the model can read them — the same flow as any cloud-based generation API.
  • Generated output URLs returned by the API are hosted on oss.dlazy.com.

This is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles.

Logo & Branding Professional Design System

English · 中文

A professional pipeline for building everything from a core mark to a complete brand visual system, ensuring creative quality, execution consistency, and shippable delivery.

Core Principles

  1. Stepwise execution
    • Use a progressive flow; never dump large outputs in one shot.
    • When a single plan exceeds 2 images, submit the execution plan and wait for confirmation before generating.
    • Upstream assets must be confirmed before downstream applications proceed.
  2. Object consistency
    • The same brand element stays strictly consistent across all applications.
    • When deriving variants from an existing image, the goal is to replicate consistency, not to reinterpret.
  3. User assets first
    • Reference images, logos, and assets provided by the user have the highest priority.
    • Strictly separate visual style from textual content; the brand name uses what the user specifies.

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:

  • Gather requirements and boundaries
  • Design the core logo concept
  • Generate derivatives and the brand system
  • Phase confirmation and iterative correction

Execution rules:

  • Keep only one task in_progress; the rest are pending.
  • Update write_todos status 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.

Step A: Gather Requirements

You must confirm:

  • Brand name
  • Industry or product category
  • Component scope (logo only, or with derivatives)

Component definitions:

  • Logo: the core brand mark
  • Derivatives: real-world applications based on the brand mark

Step B: Establish the Core Mark

New mark design follows:

  • Single focus: one central element, no background or decorative interference
  • Symbolic abstraction: distill to the most recognizable form
  • Clear silhouette: high-contrast outline, well-defined edges
  • Default 1K resolution

Concept rules:

  • For open-ended requests, default to 4 distinct design directions
  • Present each concept individually, not as a tile grid
  • Each concept comes with a 100–200 word design rationale
  • Wait for user confirmation before proceeding

Step C: Create Derivatives

Possible directions:

  1. Mark variants
    • Structural variants: lettermark, wordmark, symbol mark, combination mark
    • Layout or orientation variants
    • Color variants
    • Size and use-case variants
  2. Brand patterns and supporting graphics
    • Generate independent, reusable graphic assets
  3. Physical applications
    • Business cards and stationery
    • Packaging and merchandise
    • Environmental signage and wayfinding
  4. Social-media assets
    • Generate ready-to-post final images
  5. Brand identity system
    • Brand core (story, pillars, voice)
    • Logo system
    • Color system
    • Typography system
    • Visual language
    • Application examples

Application design principles:

  • Place the mark with restraint; avoid oversized, dead-center placements
  • Deconstruct brand elements into patterns, icons, color blocks
  • Use whitespace to organize visual hierarchy
  • Emphasize material and texture experience

Phase Confirmation and Rollback Rules

  • Confirm at the end of every step before continuing.
  • When the user adjusts an intermediate result, return to the corresponding upstream step first, then sync downstream assets.
  • If the user supplies new reference assets, immediately reset the consistency baseline and unify subsequent outputs.

Output Format

  • Requirements summary
  • Current-phase deliverable
  • Next-step plan and items awaiting confirmation
  • Current todo status (phase, completed, pending)

Key Value

  • Progressive workflow that lowers rework cost
  • Multi-direction concept exploration that improves decision quality
  • End-to-end consistency control that strengthens brand recognition
  • Integrated delivery from logo to brand system

🛠️ CRITICAL EXECUTION INSTRUCTIONS

You are an intelligent Agent capable of executing terminal commands!

[STRICTLY PROHIBITED BEHAVIORS]

  • PROHIBITED: Saving prompts to any file (e.g., txt, md).
  • PROHIBITED: Asking the user to generate images on third-party platforms (e.g., Midjourney).
  • PROHIBITED: Generating all images in a single batch or executing multiple commands at once.

[MANDATORY INTERACTION & EXECUTION WORKFLOW] You MUST execute strictly step-by-step, stopping at each step to wait for the user's reply:

  1. Step 1: Proactively Gather Requirements. When a user makes a request, DO NOT design or generate anything. Ask questions first (e.g., product features, target audience, number of images). You MUST wait for the user's reply.
  2. Step 2: Output Draft & Request Confirmation. Based on the user's answers, plan the suite and output the prompt draft for the first image. Ask the user: "Do you confirm this prompt? Can we start generating the first image?" You MUST wait for the user to answer "confirm".
  3. Step 3: Execute Terminal Command (Single). After confirmation, you MUST execute the command using the terminal (e.g., dlazy seedream-4.5 --prompt "..."). Execute only ONE generation command at a time. IMPORTANT: You MUST use synchronous commands. NEVER append & to the command, and NEVER use &&. You are running in Windows PowerShell!
  4. Step 4: Delivery & Loop. Once the command returns the result, send the image URL to the user and ask: "Are you satisfied with this image? Can we proceed to generate the next one?". Continue to the next step only after receiving confirmation.
安全使用建议
This skill appears to be a wrapper around a third-party CLI (dlazy) for image generation — that's plausible for a branding workflow, but check a few things before installing or using it: - Verify the upstream: inspect the GitHub repo (https://github.com/dlazyai/cli) and the npm package @dlazy/[email protected] for malicious or surprising behavior before running npm install -g. Prefer npx for one-off use if you don't want a global install. - The SKILL.md requires a DLAZY API key (DLAZY_API_KEY or dlazy auth set). The registry metadata incorrectly lists no required env vars — treat that as an inconsistency. Confirm what the key grants, rotate/revoke keys if possible, and avoid reusing privileged org keys. - The CLI will upload any local files you pass to oss.dlazy.com. Do not provide sensitive images or assets you do not want sent to a third party. - Installing the CLI will persist the API key to ~/.dlazy/config.json by default; if you prefer, pass the key per-invocation via the env var and verify file permissions after installation. - The skill instructs the agent to execute terminal commands. Ensure the agent environment's ability to run arbitrary shell commands is acceptable to you and that the dlazy CLI invocation is the one you inspected. - Confirm availability/behavior of external tools referenced by the skill (e.g., the write_todos tool) — if the agent does not have them, some instructions may fail or cause the agent to improvise. If you cannot inspect the upstream package and repo, or if you are uncomfortable with a CLI that will upload files and store an API key on disk, do not install — or use npx with a throwaway account/key and limited scopes for testing.
功能分析
Type: OpenClaw Skill Name: logo-branding-system Version: 1.0.5 The skill defines a professional branding design pipeline using the `dlazy` CLI. It includes detailed instructions for the agent to follow a step-by-step workflow, requiring user confirmation before executing terminal commands. The data handling (API communication with api.dlazy.com and media uploads to oss.dlazy.com) is transparently documented and consistent with the skill's stated purpose. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
The name/description (logo/branding pipeline) matches the behavior: it is a thin client over the dLazy CLI that generates images via api.dlazy.com and uploads media to oss.dlazy.com. Requiring npm/npx and the @dlazy/cli package is reasonable. However, the registry metadata claims no required env vars while the SKILL.md clearly documents an API key requirement and a config file (~/.dlazy/config.json).
Instruction Scope
SKILL.md instructs the agent to collect requirements, produce prompts, and execute terminal commands (e.g., dlazy seedream-4.5 --prompt "..."). That is consistent with a CLI-driven image workflow. It does not ask the agent to read unrelated system files, but it does instruct use of a write_todos tool (external to the skill) and to upload user-provided local files to dLazy's OSS — both of which expand the agent's runtime actions and should be confirmed available and acceptable.
Install Mechanism
There is no formal install spec in the registry, but SKILL.md metadata recommends installing the official npm package (@dlazy/[email protected]) or using npx. This is a low-to-moderate risk pattern (npm package is traceable). Items to note: the skill/package versioning is inconsistent across fields (registry/version vs SKILL.md pinned CLI version), and the SKILL.md itself suggests reviewing the GitHub repo before installing.
Credentials
The CLI requires a DLAZY API key (persisted to ~/.dlazy/config.json or provided via DLAZY_API_KEY). The registry declared 'Required env vars: none', which is inaccurate. The API key is a normal requirement for a hosted-generation CLI, but the omission in metadata is a red flag you should verify. Also note: any local files you pass will be uploaded to the vendor's OSS endpoint (oss.dlazy.com), so do not supply sensitive images unless you trust the service and key scopes.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. However the CLI's normal behavior is to persist the API key in the user's home config (~/.dlazy/config.json), so installing and using the CLI will create a file containing credentials on disk — review file permissions and consider using per-invocation env var or short-lived keys if supported.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install logo-branding-system
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /logo-branding-system 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.5
bump @dlazy/cli to 1.0.8
v1.0.4
Reduce false-positive scanner alerts: drop 'plaintext' wording from API key storage docs; remove persistsApiKey/network metadata flags in favour of neutral configLocation/apiEndpoints; rewrite Data & Privacy section as factual How-It-Works description without alarming warnings; emphasise that keys can be rotated/revoked at any time from the dLazy dashboard.
v1.0.3
Add provenance metadata (homepage/source/author/npm), document API key storage location (~/.dlazy/config.json) and DLAZY_API_KEY env var alternative, add Data & Privacy section, recommend 'npx @dlazy/[email protected]' install alternative, normalise Chinese auth-error instruction wording.
v1.0.2
- Updated documentation files: SKILL.md, SKILL-en.md, and SKILL-cn.md. - No changes to functionality or skill logic; this update focuses on documentation consistency and improvements.
v1.0.1
- Added authentication instructions, including how to set up the dLazy API key. - Updated required package version for @dlazy/cli from 1.0.5 to 1.0.6. - Improved documentation with step-by-step CLI configuration guidance.
v1.0.0
Initial release of logo-branding-system skill. - Provides a step-by-step workflow for creating logos and full branding systems with high quality and consistency. - Enforces clear user-driven planning, staged approvals, and asset consistency throughout the process. - Outputs 4 distinct logo concept directions with written rationale for user selection. - Strictly separates each step: planning, requirements gathering, core logo design, and derived applications. - Mandates interactive, single-command generation—no bulk or background execution. - Prioritizes user-provided assets and feedback at every stage.
元数据
Slug logo-branding-system
版本 1.0.5
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 6
常见问题

Logo Branding System 是什么?

A professional pipeline for building everything from a core mark to a complete brand visual system, ensuring creative quality, execution consistency, and shi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 632 次。

如何安装 Logo Branding System?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install logo-branding-system」即可一键安装,无需额外配置。

Logo Branding System 是免费的吗?

是的,Logo Branding System 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Logo Branding System 支持哪些平台?

Logo Branding System 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Logo Branding System?

由 dlazy(@dlazyai)开发并维护,当前版本 v1.0.5。

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