econ-plan

Organize economics research tasks into staged execution plans with evidence mapping.

Updated May 7, 2026
One-click install
npx skills add https://github.com/PSalgado95/econ-agent-workflows --skill econ-plan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: econ-plan
Source: https://github.com/PSalgado95/econ-agent-workflows/tree/main/claude/skills/econ-plan
Command: npx skills add https://github.com/PSalgado95/econ-agent-workflows --skill econ-plan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps economists and research agents transform ambiguous economics research requests into structured execution plans with clear decisions, scope boundaries, evidence requirements, and review handoffs.

Core Features & Use Cases

  • Research Planning Workflow: Converts economics research, empirical analysis, and hybrid analysis-engineering tasks into staged plans with classifications, bottleneck identification, and execution paths.
  • Decision and Evidence Framing: Defines reporting classes, task families, code roles, reader contracts, evidence surfaces, and review requirements before work begins.
  • Use Case: An economist preparing a new empirical project can use this Skill to create a plan that separates data construction, analysis, interpretation, reporting, and later review steps.

Quick Start

Ask the econ-plan skill to create an execution plan for an economics research task, including the intended reader, desired outputs, and evidence requirements.

Frequently Asked Questions about econ-plan

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

FAQPage Schema
How do I structure an economics research plan for empirical analysis?

Structure an economics research plan by organizing goals, decisions, evidence, and workflow stages into a staged execution path. This separates data construction, model computation, and reporting to ensure research reproducibility before analysis begins.

What is research reproducibility planning in economics?

Research reproducibility planning defines reporting classes, code roles, reader contracts, and evidence surfaces before work begins. It creates staged execution contracts and review handoffs to ensure empirical analysis can be verified and replicated.

How do I create a workflow design for data construction and model computation?

Create a workflow design by converting ambiguous research requests into staged plans with explicit task classifications and bottleneck identification. This separates data construction from analysis and defines execution paths for model computation.

Can I use planning classifications for economist-facing reporting scenarios?

Yes, planning classifications define reporting classes, task families, and reader contracts before work begins. This ensures economist-facing reporting scenarios have clear evidence requirements and review handoffs integrated into the execution plan.

Does this approach work for hybrid analysis-engineering tasks in economics?

Yes, it transforms hybrid analysis-engineering tasks into structured execution plans by defining scope boundaries, code roles, and evidence surfaces. This supports both empirical economics research and the engineering workflows required for computation.

When do I need evidence mapping for empirical economics research?

Evidence mapping is needed when preparing an empirical project to define evidence surfaces and review requirements before analysis begins. It ensures data construction, interpretation, and reporting stages have clear decision framing and verification handoffs.