econ-compound

Capture durable economics research lessons from completed workflows.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps economists preserve valuable research insights without confusing temporary project status with durable knowledge, making future research workflows more consistent and evidence-driven.

Core Features & Use Cases

  • Durable Learning Capture: Determines whether a research experience should become a reusable precedent, a closeout note, or not a lesson.
  • Evidence-Grounded Notes: Creates structured learning records with evidence paths, scope boundaries, validation rules, and future workflow guidance.
  • Use Case: After completing an empirical analysis project, use this Skill to identify a reusable data construction, estimation, reproducibility, or review practice and store it for future econ-plan, econ-work, or econ-review tasks.

Quick Start

Use the econ-compound skill to review this completed economics research task and capture any durable lessons supported by evidence.

Frequently Asked Questions about econ-compound

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

FAQPage Schema
How do I capture reusable economics research lessons from completed workflows?

To capture reusable economics research lessons, you need to process completed empirical or modeling workflows and generate structured learning notes. These notes must include validated metadata, evidence paths, reuse boundaries, and workflow integration guidance to preserve durable knowledge.

What is the best way to document reproducibility handoffs for empirical research?

Documenting reproducibility handoffs requires creating structured learning records with evidence paths and scope boundaries. This ensures future research tasks can reuse validated data construction, estimation, and review practices without confusing temporary project status with durable knowledge.

When should I save an economics research experience as a reusable precedent?

You should save an economics research experience as a reusable precedent when the completed task yields a durable, evidence-backed insight. If the outcome is only a temporary project status or a closeout note, it should not be captured as a reusable lesson.

Can I use learning notes to improve my economics research workflow?

Yes, you can use learning notes to improve your economics research workflow by storing validated research process improvements. These structured records provide future econ-plan, econ-work, or econ-review tasks with evidence-driven guidance and reuse boundaries.

Does capturing durable knowledge require structured metadata for evidence review?

Yes, capturing durable knowledge requires structured learning notes with validated metadata for evidence review. The records must explicitly define evidence paths, validation rules, and scope boundaries to ensure the research findings are reproducible and reusable.

What limitations exist when storing economics research process improvements?

A key limitation is that the captured lesson must have clear reuse boundaries; if a research experience only reflects temporary project status rather than durable, evidence-backed knowledge, it should not be stored as a reusable precedent for future workflows.