Analytics Pipeline
Helps with analytics, pipeline automation as part of data analysis and analytics workflows workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add analytics-pipeline npx -- -y @trustedskills/analytics-pipeline
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"analytics-pipeline": {
"command": "npx",
"args": [
"-y",
"@trustedskills/analytics-pipeline"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The analytics-pipeline skill allows AI agents to process and analyze data from various sources. It can ingest raw data, transform it into a usable format, and output aggregated insights or visualizations. This enables automated reporting and identification of trends within datasets.
When to use it
- Automated Reporting: Generate weekly sales reports directly from your CRM data.
- Trend Identification: Analyze website traffic patterns over time to identify peak hours and user behavior.
- Data Validation: Automatically check for inconsistencies or errors in newly imported data.
- Dashboard Population: Populate a dashboard with key performance indicators (KPIs) derived from multiple data sources.
Key capabilities
- Data ingestion from various sources
- Data transformation and cleaning
- Aggregation and summarization of data
- Outputting insights or visualizations
Example prompts
- "Analyze website traffic for the last month and identify trends."
- "Generate a weekly sales report based on CRM data, including total revenue and top-selling products."
- "Check the latest customer import for any duplicate entries."
Tips & gotchas
The skill requires access to the relevant data sources. Ensure that the AI agent has appropriate permissions and credentials before using analytics-pipeline.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.