experiment-pipeline

Name: experiment-pipeline
Availability: InStock
Author: tqli

Coordinate end-to-end experiments from validated idea to narrative package.

1|Updated Apr 2, 2026

Search Tags:#automation #data-analysis #reproducibility #research-workflow #experiment-planning #results-summary #narrative-report

Ready to run

npx skills add https://github.com/tqLi99/claude-skills-for-writing --skill experiment-pipeline

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: experiment-pipeline
Source: https://github.com/tqLi99/claude-skills-for-writing/tree/main/experiment-pipeline
Command: npx skills add https://github.com/tqLi99/claude-skills-for-writing --skill experiment-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Stage 2 of the research workflow: turn a validated idea into implemented experiments, completed runs, analyzed results, and a writing-ready narrative package. Use when the user wants the experiment stage only.

Core Features & Use Cases

Coordinate end-to-end experiments from plan to results to support publication.
Define run matrices, seeds, metrics, and data packaging for later paper-writing.
Facilitate reproducible outputs with structured artifacts (plans, results, and narrative handoffs).

Quick Start

Invoke the experiment plan and bridge steps to initialize an experiment package from your validated idea.

Frequently Asked Questions about experiment-pipeline

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

FAQPage Schema

How do I automate my research workflow from experiment planning to results summary?▼

Automate your research workflow by defining run matrices, seeds, and metrics to generate structured artifacts like EXPERIMENT_PLAN.md, RESULTS_SUMMARY.md, and NARRATIVE_REPORT.md for reproducible outputs and clear publication handoffs.

What is the best way to ensure reproducibility in experiment runs and data analysis?▼

Ensure reproducibility in experiment runs by applying structured run plans, logging, and defined metrics to produce consistent artifacts, which yields reproducible outputs packaged directly for later paper-writing.

How do I turn a validated idea into a writing-ready narrative report?▼

Turn a validated idea into a narrative report by executing implemented experiments, analyzing completed runs, and generating a NARRATIVE_REPORT.md that provides a comprehensive results package directly for paper-writing.

Can I use this to define run matrices and data packaging for research experiments?▼

Yes, you can define run matrices, seeds, metrics, and data packaging for research experiments to structure completed runs and analyzed results into a writing-ready narrative package for publication.

Do I need a validated idea to start the experiment pipeline process?▼

Yes, a validated idea is needed to start the experiment pipeline process, as it specifically coordinates the second stage of the research workflow to turn validated ideas into implemented experiments and results.