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Skills/yuan1z0825/nature-skills/researchwrite
researchwrite logo

researchwrite

yuan1z0825/nature-skills
782 installs29K stars
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Installation

npx skills add https://github.com/yuan1z0825/nature-skills --skill researchwrite

Summary

|

SKILL.md

researchwrite — proposal-first 科研写作 pipeline

受 autonovel(状态机+打分)、professor(动态专家)、brainstorming(入口追问)、anti-AI-writing(语言清理)启发的科研写作状态机。不是通用"帮我写论文"prompt。

核心原则

  1. 证据先于文字 — 起草前必须建立或读取 research_canon 和 evidence_table
  2. 论证先于章节 — 写正文前必须完成 argument_map
  3. 契约先于段落 — 每节需要 purpose / allowed claims / forbidden claims / inputs / validation
  4. 范围先于完备 — 如果是分阶段写作,先锁定阶段边界
  5. 动态专家,不设固定池 — 用 professor 按失败模式召唤对应专家
  6. 内容先于语言 — 诊断科学逻辑后再做 anti-slop / 语言打磨
  7. 不自动升级事实 — 永远不把 "may indicate" 改成 "proves",除非有证据支撑
  8. 删除胜于解释 — 当某主张不可行,直接删除。正文干净,解释留给答辩
  9. 该停就停 — 平台期、专家冲突、证据缺失是停止理由,不是润色理由

模式分派

输入模式
题目、方向、模糊想法compose — 加载 references/compose-mode.md
已有段落/章节/完整 proposalrevise — 加载 references/revise-mode.md
已有草稿 + 扩写/补写/重构hybrid — 加载 references/hybrid-mode.md

模糊时推断默认模式。只在选择会改变工作流时才问用户。

项目结构

工作目录:<outputs>/researchwrite/<project-slug>/

标准文件:

00_scope.md              写作任务边界
01_research_canon.md     硬事实和约束
02_evidence_table.md      claim → evidence 映射表
03_argument_map.md        论证架构
04_section_contracts.md   每节的 purpose / inputs / allowed & forbidden claims
05_style_guide.md         风格、术语、禁用表达
state.json                项目状态(mode、round、scores、technical_debts)
sources/                  用户材料、文献、数据
drafts/                   草稿和分节文件
revision_briefs/          修订简报
qa_logs/                  诊断、专家审查、anti-slop、打分记录
exports/                  最终输出(.md + .docx)

新建项目时从 templates/ 取空模板。references/worked-example-quaternary-proposal.md 提供了基于通用材料科学领域的完整填写示例。

Reference 文件索引

公开版本包含四个关键 reference:

Reference用途
references/evaluation-rubric.md8 维 × 4 锚点评分体系 + 评分流程
references/stopping-rules.md迭代循环终止条件
references/foundation-files.md建立 foundation 五文件
references/validation-checklist.md自动校验清单

完整 reference 文件(compose/revise/hybrid 模式详解、专家分派、导出归档、综述框架等 12 份)未包含在公开版本中。如需获取,请通过 GitHub issue 或邮件联系作者。

运行交付

每次运行结束时输出:

  1. 当前文件路径或修订后文本
  2. 当前分数/状态
  3. 剩余风险
  4. 一条建议的下一步

QA Mode — 四层质量保障 Pipeline

当用户说"审查这段/跑 QA/检查方案/过 pipeline"时,进入 QA 模式。

情境挡位

挡位适用场景阈值
paper投稿论文7.0
proposal研究方案/开题7.0
internal内部汇报/周报5.0
quick快速扫读无

Pipeline 顺序(先内容后语言)

Gate 2: professor Convener(内容层)
  ├── 论文 → 方法论专家 + 领域专家
  ├── proposal → 可行性专家 + 创新性专家
  └── 文献reviews → 覆盖面专家 + 批判深度专家
  │
  ▼
Gate 1: avoid-ai-writing 模式 detect-only
  └── 只对英文有效,中文跳过或降级为手工扫读
  │
  ▼
Gate 3: auto-validation(格式/完整性层)
  └── 每个 claim 有 citation?方法可复现?编号连续?
  │
  ▼
Gate 4: 评分阈值(分维度打分)
  ├── 总分≥阈值 → 通过 ✅
  └── 总分<阈值 → 按低分维度定向回退(不超过 3 轮)

Gate 2 在 Gate 1 之前 — 避免改了句子后被专家打回重写。

使用方法

用户: "用 researchwrite 审查这段 discussion,paper 挡位"
  → 自动走 Gate 2 → Gate 1 → Gate 3 → Gate 4
  → 返回审查报告 + 定向修改建议

用户: "快速扫一下这个邮件"
  → 走 quick 挡位,只标记 P0 问题

配置你的研究域

首次使用告诉 agent 你的研究背景,agent 会调用 professor 建立领域专家知识。后续写作中专家审查会基于你的领域。

Score

0–100
57/ 100

Grade

C

Popularity17/30

782 installs — growing adoption. Source repo has 29,499 GitHub stars.

Completeness19/30

Documented: full SKILL.md body, one-line install. Missing: description, category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Researchwrite skill score badge previewScore badge

Markdown

[![Researchwrite skill](https://www.remoteopenclaw.com/skills/yuan1z0825/nature-skills/researchwrite/badges/score.svg)](https://www.remoteopenclaw.com/skills/yuan1z0825/nature-skills/researchwrite)

HTML

<a href="https://www.remoteopenclaw.com/skills/yuan1z0825/nature-skills/researchwrite"><img src="https://www.remoteopenclaw.com/skills/yuan1z0825/nature-skills/researchwrite/badges/score.svg" alt="Researchwrite skill"/></a>

Researchwrite FAQ

How do I install the Researchwrite skill?

Run “npx skills add https://github.com/yuan1z0825/nature-skills --skill researchwrite” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Researchwrite skill do?

| The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Researchwrite skill free?

Yes. Researchwrite is a free, open-source skill published from yuan1z0825/nature-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Researchwrite work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Researchwrite works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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