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Connect to Windsor.ai MCP for natural language access to 325+ data sources including Facebook Ads, GA4, HubSpot, Shopify, and more.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install carlosarturoleon/windsor-aiExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Use this skill to query, explore, and analyze your Windsor.ai connected and business data using natural language. Windsor.ai aggregates data from 325+ platforms: Facebook Ads, Google Analytics 4, HubSpot, Shopify, TikTok Ads, Salesforce, and hundreds more and exposes it through a single MCP interface.
Invoke this skill automatically when the user asks questions about:
The user can also invoke this skill directly with /windsor-ai.
Before querying data, the Windsor.ai MCP connection must be configured. Follow these steps once:
Add your API key to the clawdbot environment file:
echo 'WINDSOR_API_KEY=your_api_key_here' >> ~/.clawdbot/.env
Replace your_api_key_here with the key you copied.
Then export it for your current session so mcporter can resolve it:
export WINDSOR_API_KEY=your_api_key_here
Note: mcporter requires
WINDSOR_API_KEYto be exported as a shell environment variable. Simply storing it in~/.clawdbot/.envis not enough — it must be available in your active shell session.Security note: Avoid appending the key to
~/.zshrcor other shell rc files, as this stores your secret in plaintext and loads it into every shell session. Prefer your system keychain, a secrets manager, or a.envfile with restricted permissions (`chm...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# Windsor.ai Analytics Use this skill to query, explore, and analyze your [Windsor.ai](https://windsor.ai) connected and business data using natural language. Windsor.ai aggregates data from 325+ platforms: Facebook Ads, Google Analytics 4, HubSpot, Shopify, TikTok Ads, Salesforce, and hundreds more and exposes it through a single MCP interface. ## When to Use This Skill Invoke this skill automatically when the user asks questions about: - Campaign performance, ROAS, CPM, CPC, CTR - Ad spend breakdowns or budget analysis across channels - Sales pipeline, CRM data, or customer acquisition metrics - E-commerce performance (revenue, conversion rates, AOV) - Cross channel attribution or multi touch analytics - Trend analysis over specific date ranges - Data from any connected advertising, analytics, or CRM platform The user can also invoke this skill directly with `/windsor-ai`. ## Setup Before querying data, the Windsor.ai MCP connection must be configured. Follow these steps once: ### Step 1: Get Your Windsor.ai API Key 1. Log in to your Windsor.ai account at https://windsor.ai 2. Navigate to your account dashboard or settings 3. Locate the API Key section and copy your key ### Step 2: Store the API Key Add your API key to the clawdbot environment file: ```bash echo 'WINDSOR_API_KEY=your_api_key_here' >> ~/.clawdbot/.env ``` Replace `your_api_key_here` with the key you copied. Then export it for your current session so mcporter can resolve it: ```bash export WINDSOR_API_KEY=your_api_key_here ``` > **Note:** mcporter requires `WINDSOR_API_KEY` to be exported as a shell environment variable. Simply storing it in `~/.clawdbot/.env` is not enough — it must be available in your active shell session. > > **Security note:** Avoid appending the key to `~/.zshrc` or other shell rc files, as this stores your secret in plaintext and loads it into every shell session. Prefer your system keychain, a secrets manager, or a `.env` file with restricted permissions (`chm...
Search and hire real humans for tasks — photography, delivery, research, and more
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