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Company Packs

Data Analytics Bureau

Eight agents collecting, analyzing, and reporting on your data

ops teamsanalytics consultanciesSaaS teams with warehouse data

Why buy

Analytics teams buy when the package clearly turns messy recurring requests into a standard operating system.

// First 7 days

What can be running fast.

01

clean reporting cadence

02

Ship a usable package with 15 included files and working structure.

03

Move from purchase to first setup in about 20 min.

// Included files

What is inside the package.

company.yaml
agents/data-collector.md
agents/schema-analyzer.md
agents/query-builder.md
agents/visualization-designer.md
agents/report-writer.md
agents/anomaly-detector.md
agents/pipeline-monitor.md
agents/analytics-manager.md
workflows/data-pipeline.yaml
workflows/weekly-report.yaml
skills/sql-optimization.md
skills/chart-selection.md
mcp-servers.json
README.md

Description

What is Data Analytics Bureau?

Full-service data analytics. Collection, schema analysis, automated queries, visualization generation, report writing, anomaly detection, and pipeline monitoring.

solo-unicornclaude-code

Upgrade path

  • 01Start with this package and validate the workflow.
  • 02Add specialized skills or bundles once the core system is stable.
  • 03Use the community to sharpen positioning, demos, and feedback loops.
Previewcompany.yaml
# company.yaml
name: data-analytics-bureau
version: "1.0"
description: Full-service data analytics operation

agents:
  - id: schema-analyzer
    role: "Analyze data schemas and detect quality issues"
    skills: [schema-validation, type-inference]
    mcp_servers: [bigquery, postgres]
    triggers:
      - webhook: dataset.updated
        action: analyze-schema

  - id: anomaly-detector
    role: "Detect anomalies in metrics and data pipelines"
    skills: [statistical-analysis, threshold-alerting]
    triggers:
      - cron: "0 */2 * * *"
        action: scan-metrics

// Community acceleration

Use the room after the purchase.

Bring your workflow into the Solo Unicorn community for sharper feedback, operator critique, and more visibility once the system is live.

Discuss implementation