ppw:experiment

Extract measurable findings from experiment results and generate structured discussion paragraphs.

38|3|Updated May 7, 2026
One-click install
npx skills add https://github.com/Chanw-research/claude-code-paper-writing --skill ppw-experiment-chanw-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ppw:experiment
Source: https://github.com/Chanw-research/claude-code-paper-writing/tree/main/skills/writing-polish/paper-polish-workflow/.claude/skills/ppw-experiment
Command: npx skills add https://github.com/Chanw-research/claude-code-paper-writing --skill ppw-experiment-chanw-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps researchers automatically extract measurable findings from experiment results (tables, statistics, or descriptions) and generate structured, evidence-based discussion paragraphs suitable for journal or conference submissions.

Core Features & Use Cases

  • Two-phase workflow: Phase 1 identifies measurable findings and presents a Finding list for user confirmation; Phase 2 generates grounded discussion paragraphs for each confirmed finding.
  • Evidence-first writing: Paragraphs present quantified evidence, followed by calibrated interpretation and literature connections (placeholders if prior work is not supplied).
  • Flexible input modes: Accepts tables, statistics, or narrative result descriptions; supports bilingual output when requested.
  • Output contracts: Produces a structured output suitable for LaTeX or manuscript writing, with phase 2 discussion ready for direct insertion.

Quick Start

Provide your experiment results data and ask the Skill to analyze and generate discussion paragraphs.

Frequently Asked Questions about ppw:experiment

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

FAQPage Schema
How do I write a discussion section from experiment results?

To write a discussion section from experiment results, provide your data tables or narrative descriptions to extract measurable findings and generate evidence-based discussion paragraphs with calibrated interpretation. The workflow first lists findings for confirmation, then crafts grounded paragraphs.

Can I generate academic discussion paragraphs without providing prior literature references?

Yes, you can generate academic discussion paragraphs without providing prior literature references. The skill inserts [CONNECT TO: ...] placeholders within the discussion text and prompts you to supply relevant references to complete the literature connections later.

How do I extract measurable findings from statistical tables for a research paper?

To extract measurable findings from statistical tables for a research paper, input your experiment data and the skill identifies quantified results, presenting a structured Finding list for your review before generating the final discussion paragraphs.

Does the generated discussion output support LaTeX formatting for manuscript submission?

Yes, the generated discussion output supports LaTeX formatting for manuscript submission. The skill produces structured output contracts specifically designed for direct insertion into LaTeX documents or standard manuscript writing formats.

What is the best way to analyze narrative experiment descriptions for discussion writing?

The best way to analyze narrative experiment descriptions for discussion writing is using a two-phase extraction process that identifies quantified evidence from text, followed by calibrated interpretation to form grounded discussion paragraphs suitable for journal submissions.

Can I get bilingual output when analyzing experiment results?

Yes, you can get bilingual output when analyzing experiment results. The skill supports bilingual output generation upon request, allowing you to produce structured findings and discussion paragraphs in multiple languages for international submissions.