什么是 品牌分析助手？

品牌分析助手是 Openclaw Skills 库中一个精密的技术工具，旨在自动创建高保真品牌身份配置文件。通过利用带有 Google 搜索增强的 Gemini Flash，该技能研究品牌的官方存在、视觉模式和历史活动，以合成结构化的 JSON 输出。该工具作为自动化创意流水线的底层数据层，确保生成的内容与品牌指南严格对齐。

该技能对于构建自动广告或设计系统的开发人员特别有价值。它弥合了非结构化网页数据与机器可读配置之间的鸿沟，允许 Openclaw Skills 在 Morpheus 或 Ad-Ready 等各种创意工作流中保持一致性。它将原始搜索结果转化为关于摄影风格、语调和视觉层级的可执行情报。

下载入口:https://github.com/openclaw/skills/tree/main/skills/pauldelavallaz/brand-identity-analyzer

安装与下载

1. ClawHub CLI

从源直接安装技能的最快方式。

2. 手动安装

将技能文件夹复制到以下位置之一

优先级：工作区 > 本地 > 内置

3. 提示词安装

将此提示词复制到 OpenClaw 即可自动安装。

品牌分析助手 应用场景

• 在自动化广告生成流水线中为新客户创建全面的品牌概况。
• 更新和刷新品牌身份数据，以反映现代活动的转变。
• 为 AI 驱动的时尚和产品设计提供结构化的视觉和语调约束。
• 在 Openclaw Skills 工作流中研究竞争对手的品牌定位和视觉策略以进行市场分析。

1. 代理通过 Google 搜索执行第一阶段研究，提取包括愿景、使命和定位在内的规范数据。
2. 第二阶段在 Google Images 和 Pinterest 上启动活动研究，从 10 多个活动中识别独特的视觉模式。
3. 第三阶段执行演绎视觉分析，以定义技术摄影风格、色彩系统和排版。
4. 代理生成标准化的 JSON 配置文件，包含品牌行为、语调和视觉身份的详细对象。
5. 系统将配置文件保存到本地目录或自动保存，以便在同步的部署仓库中立即使用。

品牌分析助手 配置指南

要开始使用 Openclaw Skills 的这一组件，请确保您已准备好 Gemini API 密钥并遵循以下步骤：

# 设置环境变量
export GEMINI_API_KEY="your_key_here"

# 分析品牌并自动保存到 Ad-Ready 目录
uv run scripts/analyze.py --brand "Brand Name" --auto-save

# 必选：同步配置文件用于 ComfyDeploy 工作流
cd ~/clawd/ad-ready
git add configs/Brands/Brand_Name.json
git commit -m "Add brand profile: Brand Name"
git push origin main

品牌分析助手 数据架构与分类体系

该技能生成为 Openclaw Skills 集成优化的结构化 JSON 架构：

name: brand-analyzer
description: Analyze brands to generate comprehensive brand identity profiles (JSON). Use when the user wants to analyze a brand, create a brand profile, or needs brand data for ad generation. Stores profiles for reuse across Ad-Ready, Morpheus, and other creative workflows. Can list existing profiles and update them.

Brand Analyzer: AI Brand Identity Profiler

Analyze any brand to generate a comprehensive brand identity JSON profile using Gemini Flash with Google Search grounding.

Overview

Brand Analyzer creates structured brand identity profiles by:

1. Researching the brand via Google Search (official data, campaigns, visual identity)
2. Analyzing brand behavior, visual patterns, photography style, tone of voice
3. Generating a complete JSON profile following the standard template
4. Storing the profile for reuse across all creative workflows

When to Use

• User asks to "analyze a brand" or "create a brand profile"
• Before running Ad-Ready when the brand isn't in the catalog
• When the user mentions a brand that doesn't have a profile yet
• To update/refresh an existing brand profile

Quick Commands

Analyze a brand and save to file

GEMINI_API_KEY="$KEY" uv run {baseDir}/scripts/analyze.py r
  --brand "Brand Name" r
  --output ./brands/Brand_Name.json

Analyze and auto-save to Ad-Ready brands catalog

GEMINI_API_KEY="$KEY" uv run {baseDir}/scripts/analyze.py r
  --brand "Heredero Gin" r
  --auto-save

The --auto-save flag automatically saves to ~/clawd/ad-ready/configs/Brands/{Brand_Name}.json

?? MANDATORY: Push to GitHub After Every New Brand Profile

Every time a new brand profile is generated and saved, it MUST be pushed to GitHub immediately. This is non-optional — the ComfyDeploy deployment pulls brand profiles from the repo.

cd ~/clawd/ad-ready
git add configs/Brands/{Brand_Name}.json
git commit -m "Add brand profile: {Brand Name}"
git push origin main

Do NOT skip this step. The ad generation pipeline on ComfyDeploy needs the profile in the repo to work correctly.

Print to stdout

GEMINI_API_KEY="$KEY" uv run {baseDir}/scripts/analyze.py --brand "Nike"

Inputs

Output Format

The generated JSON follows the standard brand identity template used by Ad-Ready:

{
  "brand_info": { "name", "tagline", "category", "positioning", "vision", "mission", "origin_story" },
  "brand_values": { "core_values", "brand_promise", "differentiators", "non_negotiables" },
  "target_audience": { "demographics", "psychographics" },
  "tone_of_voice": { "personality_traits", "communication_style", "language_register", ... },
  "visual_identity": { "logo", "color_system", "typography", "layout_principles" },
  "photography": { "style", "technical" },
  "campaign_guidelines": { "visual_tone", "model_casting", "product_presentation", ... },
  "brand_behavior": { "do_dont", "immutability" },
  "channel_expression": { "retail", "digital", "print" },
  "compliance": { ... }
}

Integration with Other Workflows

Ad-Ready

Brand profiles are automatically available as brand_profile options when generating ads.

Morpheus Fashion Design

Brand visual identity (colors, photography style, tone) can inform Morpheus campaigns.

Custom Workflows

Load any brand profile JSON to extract visual identity, tone of voice, or campaign guidelines for any creative task.

Analysis Methodology

The analyzer follows a 3-phase approach:

Phase 1: Official Research (via Google Search)

• Brand website, corporate pages, official communications
• Locks canonical data: name, founding, positioning, vision, mission, tagline

Phase 2: Campaign Research (via Google Search)

• Google Images and Pinterest for advertising campaigns
• Identifies 10+ distinct campaigns
• Treats them as analytical reference material

Phase 3: Deductive Visual Analysis

• Cross-sectional analysis of visual patterns
• Identifies recurring photography style, color systems, typography
• Fills visual identity fields not covered by official data

API Key

Uses Gemini API. Set via:

• GEMINI_API_KEY environment variable
• --api-key flag