experiment-setup-pipeline

Orchestrate the Experimental Setup audit and route to Phase 1 or supplementary scouting.

Updated Apr 19, 2026
One-click install
npx skills add https://github.com/YurainSoon/research-director --skill experiment-setup-pipeline
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: experiment-setup-pipeline
Source: https://github.com/YurainSoon/research-director/tree/main/.claude/skills/experiment-setup-pipeline
Command: npx skills add https://github.com/YurainSoon/research-director --skill experiment-setup-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The Main Agent orchestrates the Experimental Setup Module, invoking the auditor, evaluating its output via the exit check, and routing the flow to Phase 1 or initiating supplementary scouting when gaps are detected. The skill does not perform the audit itself.

Core Features & Use Cases

  • Orchestrates Step 2 auditors, Step 3 exit checks, and Step 4 supplement decision logic to keep the Experimental Setup pipeline on track.
  • Applies when Loop 2 has passed without EXPERIMENT_SETUP.md or when previous audits flag thin coverage across datasets, baselines, LLMs, or reusable code.
  • Produces and maintains the living artifact at phase_0_ideation/experiment_setup/EXPERIMENT_SETUP.md and references audit outputs for traceability.

Quick Start

Run the Experimental Setup Pipeline to audit available datasets, baselines, LLMs, and code for the current IDEA.

Frequently Asked Questions about experiment-setup-pipeline

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

FAQPage Schema
How do I automate an experimental setup audit for datasets, baselines, and LLMs?

You can automate the experimental setup audit by running a pipeline that invokes auditors, evaluates coverage via exit checks, and routes to supplementary scouting or Phase 1. It orchestrates Step 2, Step 3, and Step 4 processes to maintain the workflow.

When do I need to trigger supplementary scouting during a research workflow?

Supplementary scouting is triggered when a prior audit flags thin coverage across datasets, baselines, LLMs, or reusable code. The pipeline evaluates the auditor's output with an exit check and routes to scouting to fill detected gaps.

What prerequisites are needed to coordinate an experimental setup pipeline?

To coordinate the experimental setup pipeline, you need a valid Loop 2 exit, an existing phase_0_ideation/ideas/IDEA.md file, and available tester reports. The pipeline enforces these preconditions before invoking the audit.

How does a setup audit maintain traceability for reusable code and baselines?

The setup audit maintains traceability by producing a living artifact at phase_0_ideation/experiment_setup/EXPERIMENT_SETUP.md and referencing audit outputs. This ensures datasets, baselines, and LLMs are tracked.

Can I use this pipeline if EXPERIMENT_SETUP.md has already been produced?

No, the pipeline applies specifically when Loop 2 has passed without EXPERIMENT_SETUP.md being produced, or when previous audits flagged thin coverage. It evaluates existing outputs to decide routing.