smart-data-analysis

Name: smart-data-analysis
Availability: InStock
Author: kweaver

Route data analysis requests to sub-skills and produce structured evidence packages.

Updated Aug 23, 2026

Search Tags:#routing #auditing #data-analytics #workflow-automation #knowledge-network #smart-data-analysis

Ready to run

npx skills add https://github.com/kweaver-ai/kweaver-dip --skill smart-data-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: smart-data-analysis
Source: https://github.com/kweaver-ai/kweaver-dip/tree/main/skills/smart-data-analysis
Command: npx skills add https://github.com/kweaver-ai/kweaver-dip --skill smart-data-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill coordinates enterprise data analysis by orchestrating routing and gating across multiple sub-skills to ensure compliant, auditable outcomes.

Core Features & Use Cases

Route user questions to the appropriate sub-skills (smart-search-tables, smart-ask-data, smart-data-insights, smart-reporting, and smart-json2plot) to assemble a complete data task workflow.
Enforce environment checks, knowledge network validation, and stepwise progress reporting to maintain traceability and governance.
Produce structured, verifiable evidence packages that can feed standard reports and governance reviews.

Quick Start

Describe how to route a data problem to the appropriate sub-skills and produce a structured evidence package for reporting.

Frequently Asked Questions about smart-data-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I route enterprise data analysis requests to the right workflow?▼

Routing enterprise data analysis requests involves directing user questions to specialized sub-skills like smart-search-tables and smart-ask-data. This Skill automates that routing process while enforcing environment checks and knowledge network validations to maintain traceability.

What is workflow automation for auditable data analysis?▼

Workflow automation for auditable data analysis is the process of orchestrating sub-skills under strict gatekeeping to produce verifiable evidence packages. It enforces environment checks, validates knowledge networks, and reports stepwise progress to ensure compliant outcomes.

Can I generate structured evidence packages for compliance reporting?▼

Generating structured evidence packages for compliance reporting is a core function of this Skill. It orchestrates data analysis workflows across sub-skills and produces verifiable, structured evidence packages that feed standard reports and governance reviews directly.

Does smart-data-analysis work with sub-skills for reporting and visualization?▼

Smart-data-analysis works with sub-skills including smart-reporting and smart-json2plot to assemble complete data task workflows. It coordinates routing to these components to produce structured evidence packages and orchestrate follow-on reporting and visualization steps.

What are the limitations of automating data analysis routing?▼

Limitations of automating data analysis routing include strict dependencies on environment checks and knowledge network validations. The Skill enforces these gatekeeping measures stepwise, meaning workflows halt if required validations fail or sub-skill prerequisites are unmet.