brand-monitor — Claude Code skill: what it does, how to install
Tracks brand mentions, sentiment scores, and online logo usage via the Brand.dev API. Useful for reputation monitoring and finding PR opportunities.
npx skills add OpenClaudia/openclaudia-skills --skill brand-monitor -a claude-codeWhat brand-monitor does
This skill connects the coding agent to the Brand.dev REST API using curl requests and python3 response parsers. It queries web mentions, compares mention counts against competitors, and tracks sentiment using positive (> 0.3), neutral, and negative (< -0.3) thresholds.
The skill also retrieves structured company info by domain, configures ongoing monitor alerts across news or social sources, and runs logo searches to spot sponsor placements or unauthorized use. It includes a multi-step brand audit workflow covering volume trends and high-authority PR targets.
Without BRANDDEV_API_KEY, every request fails because Brand.dev endpoints require a Bearer token. You must define this key in .env, .env.local, or ~/.claude/.env.global before triggering searches.
What it helps with
- track company mentions across news, blogs, and social platforms
- analyze sentiment trends and flag negative spikes
- detect logo appearances and unauthorized visual usage online
- compare brand mention volume directly against competitors
- fetch structured corporate profiles and color palettes by domain
Example prompts for the agent
- Run brand monitoring for my company and summarize recent sentiment
- Compare our mention counts against competitor brands for the past month
- Search for unauthorized logo usage across external domains
How to install brand-monitor
1Skills CLI (Vercel)
npx skills add OpenClaudia/openclaudia-skills --skill brand-monitor -a claude-code2Manually: put the files in place
~/.claude/skills/brand-monitor/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/brand-monitor/
1Skills CLI (Vercel)
npx skills add OpenClaudia/openclaudia-skills --skill brand-monitor -a codex2Manually: put the files in place
.agents/skills/brand-monitor/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add OpenClaudia/openclaudia-skills --skill brand-monitor -a cursor2Manually: put the files in place
.cursor/skills/brand-monitor/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install OpenClaudia/openclaudia-skills brand-monitor2Manually: put the files in place
.github/skills/brand-monitor/SKILL.md1Skills CLI (Vercel)
npx skills add OpenClaudia/openclaudia-skills --skill brand-monitor -a gemini-cli2Platform CLI
gemini skills install https://github.com/OpenClaudia/openclaudia-skills --path skills/brand-monitorManually: put the files in place
.devin/skills/brand-monitor/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add OpenClaudia/openclaudia-skills --skill brand-monitor -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about brand-monitor
How to install brand-monitor in Claude Code?
Run npx skills add OpenClaudia/openclaudia-skills --skill brand-monitor -a claude-code in your terminal.
What does brand-monitor do?
It queries the Brand.dev API to search brand mentions, monitor sentiment distribution, detect logos on web pages, and analyze competitor presence.
What prerequisites are required for brand-monitor?
You need a Brand.dev API key saved as BRANDDEV_API_KEY in .env, .env.local, or ~/.claude/.env.global.
Source text
SKILL.md · MIT
---
name: brand-monitor
description: >
Brand monitoring and mention tracking via the Brand.dev API. Use when asked to
monitor brand mentions, track sentiment, find PR opportunities, detect logo
usage, or analyze brand presence online. Trigger phrases: "brand monitoring",
"mention tracking", "brand sentiment", "PR opportunities", "logo detection",
"brand.dev", "brand mentions", "media monitoring".
---
# Brand Monitor
Track brand mentions, analyze sentiment, and discover PR opportunities using the Brand.dev API.
## Prerequisites
Requires `BRANDDEV_API_KEY` set in `.env`, `.env.local`, or `~/.claude/.env.global`.
```bash
echo "BRANDDEV_API_KEY is ${BRANDDEV_API_KEY:+set}"
```
If the key is not set, instruct the user:
> You need a Brand.dev API key. Get one at https://brand.dev/
> Then add `BRANDDEV_API_KEY=your_key` to your `.env` file.
## API Base
All requests go to `https://api.brand.dev/v1/` with the header `Authorization: Bearer {BRANDDEV_API_KEY}`.
---
## 1. Brand Search
Search for mentions of a brand name across the web.
### Endpoint
```
GET https://api.brand.dev/v1/brand/search
```
### Parameters
| Param | Type | Description |
|-------|------|-------------|
| `query` | string | Brand name or phrase to search |
| `limit` | int | Number of results (default 20, max 100) |
| `offset` | int | Pagination offset |
| `sort` | string | `relevance` or `date` |
| `from_date` | string | Start date (YYYY-MM-DD) |
| `to_date` | string | End date (YYYY-MM-DD) |
### Example curl
```bash
curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
"https://api.brand.dev/v1/brand/search?query=YourBrand&limit=20&sort=date"
```
### Response Parsing
```bash
curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
"https://api.brand.dev/v1/brand/search?query=YourBrand&limit=20" \
| python3 -c "
import json, sys
data = json.load(sys.stdin)
for m in data.get('results', []):
print(f\"Source: {m.get('source','')} | Title: {m.get('title','')} | Sentiment: {m.get('sentiment','n/a')} | Date: {m.get('published_at','')}\")
print(f\" URL: {m.get('url','')}\")
print()
"
```
---
## 2. Brand Info Lookup
Get structured brand information for any company or product.
### Endpoint
```
GET https://api.brand.dev/v1/brand/info
```
### Parameters
| Param | Type | Description |
|-------|------|-------------|
| `domain` | string | Company domain (e.g., `stripe.com`) |
| `name` | string | Brand name (alternative to domain) |
### Example curl
```bash
curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
"https://api.brand.dev/v1/brand/info?domain=stripe.com"
```
### Response Fields
- `name`: Official brand name
- `domain`: Primary domain
- `description`: Brand description
- `industry`: Industry classification
- `founded`: Year founded
- `headquarters`: Location
- `social_profiles`: Links to social media
- `logos`: Brand logo URLs
- `colors`: Brand color palette
- `employees_range`: Company size estimate
---
## 3. Logo Detection
Detect brand logos in images across the web.
### Endpoint
```
GET https://api.brand.dev/v1/logo/search
```
### Parameters
| Param | Type | Description |
|-------|------|-------------|
| `brand` | string | Brand name to search for |
| `domain` | string | Filter to specific domain |
| `limit` | int | Number of results |
### Example curl
```bash
curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
"https://api.brand.dev/v1/logo/search?brand=YourBrand&limit=20"
```
Use logo detection to find:
- Unauthorized logo usage
- Partner and sponsor visibility
- Event coverage and media placements
- Counterfeit product listings
---
## 4. Mention Tracking
Set up ongoing tracking for brand mentions.
### Create a Monitor
```
POST https://api.brand.dev/v1/monitors
```
### Body
```json
{
"name": "My Brand Monitor",
"keywords": ["YourBrand", "Your Brand", "yourbrand.com"],
"exclude_keywords": ["unrelated term"],
"sources": ["news", "blogs", "social", "forums", "reviews"],
"languages": ["en"],
"notify_email": "[email protected]"
}
```
### Example curl
```bash
curl -s -X POST -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
-H "Content-Type: application/json" \
"https://api.brand.dev/v1/monitors" \
-d '{
"name": "Brand Alert",
"keywords": ["YourBrand"],
"sources": ["news", "blogs", "social"],
"languages": ["en"]
}'
```
### List Monitors
```bash
curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
"https://api.brand.dev/v1/monitors"
```
### Get Monitor Results
```bash
curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
"https://api.brand.dev/v1/monitors/{monitor_id}/mentions?limit=50&sort=date"
```
---
## 5. Sentiment Analysis
Analyze sentiment of brand mentions.
### Endpoint
```
GET https://api.brand.dev/v1/brand/sentiment
```
### Parameters
| Param | Type | Description |
|-------|------|-------------|
| `query` | string | Brand name |
| `from_date` | string | Start date |
| `to_date` | string | End date |
| `granularity` | string | `day`, `week`, or `month` |
### Example curl
```bash
curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
"https://api.brand.dev/v1/brand/sentiment?query=YourBrand&from_date=2024-01-01&to_date=2024-03-31&granularity=week"
```
### Sentiment Scores
- **Positive** (> 0.3): Praise, recommendations, positive reviews
- **Neutral** (-0.3 to 0.3): Factual mentions, news coverage
- **Negative** (< -0.3): Complaints, criticism, negative reviews
---
## 6. Competitor Mention Comparison
Compare brand mention volume and sentiment against competitors.
### Workflow
1. Search mentions for your brand and each competitor
2. Compare mention counts over the same time period
3. Compare sentiment distributions
4. Identify sources where competitors get mentioned but you do not
```bash
# For each brand, get mention counts
for brand in "YourBrand" "Competitor1" "Competitor2"; do
count=$(curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
"https://api.brand.dev/v1/brand/search?query=${brand}&limit=1" \
| python3 -c "import json,sys; print(json.load(sys.stdin).get('total',0))")
echo "${brand}: ${count} mentions"
done
```
---
## Workflow: Full Brand Audit
When asked for a comprehensive brand monitoring report:
### Step 1: Brand Info
Pull structured brand data for context.
### Step 2: Mention Volume
Search for brand mentions over the last 30/90 days. Count total mentions and break down by source type.
### Step 3: Sentiment Analysis
Get sentiment trends. Flag any negative spikes and investigate root causes.
### Step 4: PR Opportunities
From mention data, identify:
- **High-authority sites** that mention competitors but not you
- **Journalists** who cover your industry
- **Trending topics** where your brand could contribute
- **Unanswered questions** about your brand on forums
### Step 5: Logo/Visual Presence
Search for logo appearances. Flag unauthorized usage.
### Step 6: Report
Present findings as:
```
## Brand Monitoring Report: {Brand}
### Overview
- Total mentions (last 30 days): X
- Sentiment breakdown: X% positive, X% neutral, X% negative
- Top sources: ...
### Sentiment Trend
[Weekly trend data]
### Top Positive Mentions
1. [Source] - [Title] - [URL]
2. ...
### Negative Mentions Requiring Attention
1. [Source] - [Title] - [URL] - [Issue summary]
2. ...
### PR Opportunities
1. [Publication] covers [topic] - pitch angle: ...
2. [Journalist] recently wrote about [topic] - pitch angle: ...
### Competitor Comparison
| Metric | Your Brand | Competitor A | Competitor B |
|--------|-----------|-------------|-------------|
| Mentions | ... | ... | ... |
| Positive % | ... | ... | ... |
| Top Source | ... | ... | ... |
### Action Items
- [ ] Respond to [negative mention]
- [ ] Pitch [publication] about [topic]
- [ ] Update brand listing on [platform]
```
---
## Error Handling
| Status | Meaning |
|--------|---------|
| 401 | Invalid or expired API key |
| 403 | Insufficient permissions for this endpoint |
| 404 | Resource not found (check monitor ID) |
| 429 | Rate limit exceeded - wait and retry |
| 500 | Server error - retry after a few seconds |
## Tips
- Use exact brand name + common misspellings as keywords
- Exclude your own domain to avoid self-mentions
- Set up monitors for competitor brands too
- Check mentions weekly at minimum; daily during launches or crises
- Export negative mentions to a spreadsheet for customer support follow-up
© OpenClaudia · MIT · OpenClaudia/openclaudia-skills