analysis-planning

Organize analysis requests, goals, and constraints into stepwise planning workflows.

351|70|Updated Jan 11, 2026
One-click install
npx skills add https://github.com/nimrodfisher/data-analytics-skills --skill analysis-planning
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analysis-planning
Source: https://github.com/nimrodfisher/data-analytics-skills/tree/main/06-workflow-optimization/analysis-planning
Command: npx skills add https://github.com/nimrodfisher/data-analytics-skills --skill analysis-planning

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Structure analysis work by planning and breaking down complex requests into clear, actionable steps before execution.

Core Features & Use Cases

  • Structured planning: Breaks down requests, workflows, and milestones into a repeatable planning process.
  • Context-driven scoping: Guides what information is needed to proceed and supports progressive disclosure.
  • Use Case: Initiate new analytics projects by outlining objectives, required inputs, and milestones before data work begins.

Quick Start

Provide the analysis request and goals so I can outline a stepwise planning workflow.

Frequently Asked Questions about analysis-planning

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

FAQPage Schema
How do I plan analysis work before starting a data science project?

Scoping analysis work involves identifying required context, constraints, and objectives before execution. It supports progressive disclosure to ensure you gather the exact information needed to proceed accurately.

What is the best way to break down complex analytics requests into actionable steps?

Breaking down complex analytics requests requires structuring workflows and milestones into a repeatable planning process. This transforms ambiguous questions into clear, stepwise actions for data science or business intelligence contexts.

How do I scope requirements for iterative analytics workflows?

Scoping requirements for iterative analytics workflows involves defining explicit milestones and validation steps. This contextual approach ensures the methodology remains repeatable across multiple iterations and project phases.

Can I use this structured planning approach for business intelligence and research contexts?

Yes, structured planning applies across business intelligence, data science, and research contexts. It organizes requests into stepwise workflows regardless of the specific analytics domain or project scale.

What information do I need to provide to start planning an analysis workflow?

To start planning an analysis workflow, you provide the initial analysis request and goals. The system then outlines a stepwise planning approach identifying required inputs, context, and milestones.