skeptic-formulate

Automate the Skeptic formulate stage to define domain questions and data context.

Updated Apr 9, 2026
One-click install
npx skills add https://github.com/Filivignaga/skeptic --skill skeptic-formulate
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skeptic-formulate
Source: https://github.com/Filivignaga/skeptic/tree/main/codex/skeptic-formulate
Command: npx skills add https://github.com/Filivignaga/skeptic --skill skeptic-formulate

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Skeptic formulate provides a structured starting point for data analysis projects by turning vague domain questions into precise, data-answerable prompts and capturing the initial contract in canonical YAML. It coordinates the stage setup, artifact creation, and iterative cycles necessary to align questions with data constraints.

Core Features & Use Cases

  • Automates the initialization of Skeptic formulate stage, including frontmatter, artifact scaffolding, and cycle scripts.
  • Enables autonomous cycle execution with skeptic formulate --auto for end-to-end iteration.
  • Produces a reproducible audit trail through canonical YAML and rendered reports for each cycle.

Quick Start

Execute skeptic formulate to start a new project, then use --auto to run autonomous cycles.

Frequently Asked Questions about skeptic-formulate

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

FAQPage Schema
How do I define a data-answerable question before starting data analysis?

Skeptic formulate automates the initialization of your data analysis project by generating a frontmatter contract, scaffolding stage artifacts, and creating standalone scripts for iterative cycle execution.

How do I scaffold a reproducible audit trail for data analysis cycles?

Skeptic formulate produces a reproducible audit trail by generating canonical YAML frontmatter and rendered reports for each cycle, ensuring complete tracking of iterative question refinement and dataset inspection.

Can I run autonomous iteration cycles for data question formulation?

Yes, you can run autonomous iteration cycles by executing the skeptic formulate --auto command, which drives end-to-end iterative question refinement and dataset inspection without manual intervention.

What is the best way to align domain questions with dataset constraints?

The best way to align domain questions with dataset constraints is through iterative formulation cycles that capture the initial contract in canonical YAML and enable continuous question refinement against dataset inspections.

Do I need prior dependencies to start formulating data analysis questions?

No dependencies are required; Skeptic formulate independently generates the frontmatter contract, stage artifacts, and standalone script scaffolds needed to kickstart data analysis projects and execute iterative cycles.