causal-design

Design and audit causal identification strategies for observational studies.

127|22|Updated Feb 20, 2026

Search Tags:#audit #research methodology #causal inference #observational study #identification strategy

Ready to run

npx skills add https://github.com/flonat/flonat-research --skill causal-design

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: causal-design
Source: https://github.com/flonat/flonat-research/tree/main/skills/causal-design
Command: npx skills add https://github.com/flonat/flonat-research --skill causal-design

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill assists in designing and auditing identification strategies for observational causal inference, helping users choose the right approach and ensuring the credibility of their findings.

Core Features & Use Cases

Causal Strategy Design: Guided interview-driven strategy selection for observational studies.
Causal Strategy Audit: 4-phase causal inference check on existing strategies.
Use Case: When designing a new observational study, use this Skill to select the most appropriate identification strategy. For an existing study, use it to audit the identification strategy and ensure its credibility.

Quick Start

Run the causal-design skill with the path to your project or tex file, specifying the mode: causal-design [project-path or tex-file] [--mode design|audit]

Frequently Asked Questions about causal-design

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

FAQPage Schema

How do I design an identification strategy for an observational study?▼

To design an identification strategy for an observational study, this Skill uses a guided interview process to analyze your research question and data structure, helping you select the most appropriate causal inference approach.

What is a causal inference audit and how does it check identification assumptions?▼

A causal inference audit evaluates the credibility of an existing identification strategy through a 4-phase check, performing diagnostics and robustness tests on your observational study's identification assumptions.

Can I audit an existing causal research methodology from a LaTeX file?▼

Yes, you can audit an existing causal research methodology directly from a LaTeX file by running the Skill with the file path and specifying the audit mode to perform the 4-phase check.

What do I need to provide to check the credibility of my observational study design?▼

To check the credibility of your observational study design, you need to provide your project path or tex file along with a clear analysis of your research questions, data structures, and identification assumptions.

When should I use design mode versus audit mode for causal inference?▼

Use design mode when initially selecting an identification strategy for a new observational study, and use audit mode to perform diagnostics and robustness checks on an existing causal inference strategy to ensure credibility.