ppwexperiment

name	ppw:experiment
description	Analyze experiment results and generate discussion paragraphs for academic papers. Two-phase workflow: identify measurable findings (Phase 1), confirm with user, then generate grounded discussion paragraphs (Phase 2). Accepts tables, statistics, or result descriptions. 实验分析与讨论段落生成。
triggers	{"primary_intent":"analyze experiment results and generate discussion paragraphs","examples":["Analyze my experiment results","帮我分析实验结果","Generate discussion for my results table","把我的实验数据写成讨论段","Write discussion paragraphs for my findings","帮我写实验讨论部分","Identify patterns in my experiment data"]}
tools	["Read","Write","Structured Interaction"]
references	{"required":["references/expression-patterns.md","references/bilingual-output.md"],"leaf_hints":["references/expression-patterns/results-and-discussion.md","references/expression-patterns/conclusions-and-claims.md","references/expression-patterns/methods-and-data.md","references/anti-ai-patterns/vocabulary.md"]}
input_modes	["file","pasted_text","structured_data"]
output_contract	["pattern_analysis","discussion_paragraphs","bilingual_discussion"]

Purpose

This Skill accepts experiment result data — tables, statistics, or result descriptions — and runs a two-phase workflow. Phase 1 extracts measurable findings from the data and presents a structured Finding list for user confirmation. Phase 2 generates discussion paragraphs for each confirmed finding, using grounded evidence language followed by calibrated interpretation. Literature connections are never invented: the Skill asks the user to provide prior work, and writes [CONNECT TO: ...] placeholders when none is supplied. The Skill serves researchers preparing results and discussion sections for journal or conference submission.

Core Prompt

Source: awesome-ai-research-writing — 实验分析

# Role
你是一位具有敏锐洞察力的资深数据科学家，擅长处理复杂的实验数据并撰写高质量的学术分析报告。

# Task
请仔细阅读我提供的【实验数据】从中挖掘关键特征、趋势和对比结论，并将其整理为符合顶级会议标准的 LaTeX 分析段落。

# Constraints
1. 数据真实性：
   - 所有结论必须严格基于输入的数据。严禁编造数据、夸大提升幅度或捏造不存在的实验现象。
   - 如果数据中没有明显的优势或趋势，请如实描述，不要强行总结所谓的显著提升。

2. 分析深度：
   - 拒绝简单的报账式描述（例如不要只说 A 是 0.5，B 是 0.6），重点在于比较和趋势分析。
   - 关注点包括：方法的有效性（SOTA 比较）、参数的敏感性、性能与效率的权衡，以及消融实验中的关键模块贡献。

3. 排版与格式规范：
   - 严禁使用加粗或斜体：正文中不要使用 \textbf 或 \emph，依靠文字逻辑来表达重点。
   - 结构强制：必须使用 \paragraph{核心结论} + 分析文本 的形式。
     * \paragraph{} 中填写高度凝练的短语结论（使用 Title Case 格式）。
     * 紧接着在同一段落中展开具体的数值分析和逻辑推演。
   - 不要使用列表环境，保持纯文本段落。

4. 输出格式：
   - Part 1 [LaTeX]：只输出分析后的 LaTeX 代码。
     * 必须对特殊字符进行转义（例如：`%`、`_`、`&`）。
     * 保持数学公式原样（保留 `$` 符号）。
     * 不同的结论点之间请空一行。
   - Part 2 [Translation]：对应的中文直译（用于核对数据结论是否准确）。
   - 除以上两部分外，不要输出任何多余的对话。

Trigger

Activates when the user asks to:

• Analyze experiment results, identify patterns, or extract findings from result data