ppw:experiment
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。
npx skills add majiayu000/claude-skill-registry --skill ppw-experiment --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## 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](https://github.com/Leey21/awesome-ai-research-writing) — 实验分析 ````markdown # 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 \para
- Purpose
- Core Prompt
- Trigger
- Modes
- References
- Required (always loaded)
- Leaf Hints (loaded in Phase 2)
- Conditional
- Ask Strategy
- Workflow
- Step 0: Workflow Memory Check
- Phase 1: Analyze Results
- Phase 2: Generate Discussion
- Output Contract
What does the ppw:experiment skill do?
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。
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill ppw-experiment --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.