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executor_workflow

Automate empirical economics workflows from baseline regression to publication-ready outputs.

Updated Apr 15, 2026
Search Tags:#robustness#execution#regression#data-processing#publication-ready#specification-log
One-click install
npx skills add https://github.com/sheehe/coase --skill executor-workflow-sheehe
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: executor_workflow
Source: https://github.com/sheehe/coase/tree/main/resources/plugins/coase-builtin/skills/executor_workflow
Command: npx skills add https://github.com/sheehe/coase --skill executor-workflow-sheehe

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill orchestrates an end-to-end empirical economics study workflow, from applying a predefined baseline design to producing publication-ready results and documented outputs.

Core Features & Use Cases

  • End-to-end automation of baseline regression, explanation checks, and robustness assessments.
  • Standardized output generation including tables, figures, and documentation in executor directories.
  • Applicable to research projects requiring strict adherence to Planner-defined specifications and traceable provenance of results.

Quick Start

Run the executor workflow starting from planner/stage_7_baseline_design.md to produce stage_2 through stage_5 outputs and update the specification_log.

Frequently Asked Questions about executor_workflow

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

FAQPage Schema
How do I automate an empirical economics regression workflow from baseline to robustness checks?▼

Automating an empirical economics regression workflow involves orchestrating baseline regression, robustness checks, and publication-ready outputs. This requires strict adherence to predefined specifications, careful variable handling, and fixed effects clustering to ensure traceable provenance.

What is needed to generate publication-ready regression outputs with traceable provenance?▼

Generating publication-ready regression outputs with traceable provenance requires standardized output generation including tables, figures, and documentation. This ensures strict adherence to planner-defined specifications and updates the specification log automatically.

How do I execute robustness checks and data processing for a predefined baseline design?▼

Executing robustness checks and data processing for a predefined baseline design requires applying fixed effects and clustering as specified by the planner. This automates explanation checks and produces documented outputs in executor directories.

Can I use this workflow for empirical research projects requiring strict specification logs and variable handling?▼

This workflow suits empirical research projects requiring strict adherence to predefined designs and traceable provenance. It handles fixed effects, clustering, and careful variable handling while automatically updating the specification log.

What are the limitations of automating end-to-end regression workflows for empirical economics?▼

Automating end-to-end regression workflows requires a predefined baseline design from the planner. Limitations include strict dependency on planner-defined specifications, mandatory fixed effects clustering, and careful variable handling constraints.

What's the best way to orchestrate publication-ready economics studies with standardized tables and figures?▼

The best way to orchestrate publication-ready economics studies is automating end-to-end execution from baseline regression to robustness assessments. This generates standardized tables, figures, and documentation while maintaining traceable provenance.

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