Paul de Lavallaz

AI Brand Analyzer

Business Opsv1.0.0
By Paul de LavallazUpdated 2026-05-17ai-brand-analyzer@clawhub_pauldelavallaz/ai-brand-analyzer
E-commerce#Json

According to AlphaMoat, as of 2026-09, AI Brand Analyzer has 3,261 downloads and 3 stars — ranked #3,494 of 5,078 AI skills overall, and #195 of 297 in Business Ops.

Installs
101
Downloads
3.3K
Stars
3
Overall Rank
#3,494
Top 69% overall · Top 66% in Business Ops
PlatformInstallsDownloadsStarsComments
ClawHub ↗1013.3K3-
SkillHub ↗1003.2K3—

Platforms count differently and update at different times.

What this skill does

Uses Gemini Flash and Google Search to study official sites, communications and campaigns, covering positioning, values, audience, voice, visuals, photography and campaign guidance. Official sources ground brand facts; visual fields not covered officially are inferred across examples and must not be confused with official declarations. Run with uv, provide the required --brand and supply a key through GEMINI_API_KEY or --api-key. Output defaults to stdout; --output writes a chosen file and --auto-save stores it in the Ad-Ready brand catalog for later creative workflows.

Profile published 2026-10-26

What you can do with it

  • Build brand-identity and advertising reference profiles

When to use it

  • When creating or refreshing brand data for creative reuse

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Analyze this brand, distinguish official facts from visual inferences and output JSON first.

Monthly Trend

Downloads3.3K
1.7K2.5K3.4K2026-03 · Downloads 1.8K2026-05 · Downloads 2.5K2026-06 · Downloads 2.7K2026-07 · Downloads 3.0K2026-08 · Downloads 3.1K2026-09 · Downloads 3.3K26-0326-09
Stars3
2332026-03 · Stars 22026-05 · Stars 32026-06 · Stars 32026-07 · Stars 32026-08 · Stars 32026-09 · Stars 326-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-093.3K—3
2026-083.1K+6.1%3
2026-073.0K+10.9%3
2026-062.7K+6.7%3
2026-052.5K—3
2026-031.8K—2

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

3.9 KB · ClawHub v1.0.0
---
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
Show all (110 lines)

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

### Analyze and auto-save to Ad-Ready brands catalog
```bash
GEMINI_API_KEY="$KEY" uv run {baseDir}/scripts/analyze.py \
  --brand "Heredero Gin" \
  --auto-save
```

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

### Print to stdout
```bash
GEMINI_API_KEY="$KEY" uv run {baseDir}/scripts/analyze.py --brand "Nike"
```

## Inputs

| Input | Required | Description |
|-------|----------|-------------|
| `--brand` | ✅ | Brand name to analyze |
| `--output` | Optional | Output file path (default: stdout) |
| `--auto-save` | Optional | Auto-save to Ad-Ready brands catalog |
| `--api-key` | Optional | Gemini API key (or set `GEMINI_API_KEY` env var) |

## Output Format

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

```json
{
  "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

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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.