据 AlphaMoat 统计,截至 2026-09,Paper Engineering Assistant 累计下载 1,950 次、获 0 个星标,在全部 5,078 个 AI 技能中排名第 4,465 位,在「内容创作」分类(362 个)中排名第 300 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 36 | 1,301 | - | - |
| SkillHub ↗ | 396 | 1,950 | - | — |
各平台的计数口径不同,统计时间不一致。
在指定目录中处理文献元数据与原文,建立章节框架和摘要,并按顺序拼合正文。改动后需同步关联层;缺原文只保存元数据,现有正文可能被覆盖,重大冲突应暂停自动同步并由用户判断。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 1,950 | — | - |
| 2026-08 | 1,748 | +5.9% | - |
| 2026-07 | 1,650 | +15.4% | - |
| 2026-06 | 1,430 | +9.7% | - |
| 2026-05 | 1,304 | — | - |
| 2026-03 | 828 | — | - |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- name: paper-engineering description: Automated academic writing assistant based on a three-layer architecture: Framework Layer, Summary Layer, and Body Layer. Organizes all files in a structured project directory. version: 1.0.0 author: OpenClaw Community permissions: Filesystem read/write, network access (for literature search) --- # Paper Engineering Assistant
## 1. Skill Description
This skill automates a structured academic writing workflow based on a three-layer architecture: **Framework Layer**, **Summary Layer**, and **Body Layer**. It maintains data consistency across all layers through automatic synchronization mechanisms. The skill operates within a user-designated project directory (default: `./PaperProject/`).
## 2. When to Use
Use this skill when the user needs systematic assistance with academic writing, especially for long-form documents like theses or dissertations.
- User says: "Start working on my thesis."
- User says: "Read and structure all literature in the `references` folder."
- User says: "Generate a preliminary framework based on my research proposal."
- User says: "I've modified Section 2.1, please sync the framework and summaries."
- User says: "Find and download recent literature about 'performance management'."
## 3. Core Concepts & Workflow
This skill strictly follows the three-layer architecture:
### **A. Core Three-Layer Structure**
1. **Framework Layer (`structs.json`)**: The blueprint/map of the entire paper. A JSON array describing the hierarchical structure of chapters, sections, and paragraphs with IDs, titles, abstracts, keywords, and key points.
2. **Summary Layer (`summaries.json`)**: The content database. Provides detailed summaries for each framework node and records related node IDs for content traceability.
3. **Body Layer (`./document_body/` directory)**: The actual written content. A directory and Markdown file collection that exactly mirrors the framework layer structure, with each file corresponding to a writing unit.
### **B. Workflow Stages**
**Stage 1: Literature Review & Processing**
1. **Initialization**: Create necessary subdirectories in the project directory (e.g., `./document_body/`, `./processed_references/`).
2. **Process References**:
- Iterate through each reference in the `references` directory.
- Create a dedicated folder for each reference (named after the reference) and initialize an `information.md` file with metadata (title, author, abstract, keywords, download link).
- If the reference file (e.g., PDF) is available, parse it using the same three-layer architecture, generating corresponding `structs.json`, `summaries.json`, and body files stored within that reference's folder. This creates a "knowledge base" for each reference.
- If the original text cannot be downloaded, only save the `information.md`.
3. **Read Other Materials**: Review non-reference materials like research proposals, institutional guidelines, etc., to understand requirements and existing foundations.
**Stage 2: Document Writing**
1. **Generate Framework Layer**: Create the initial `structs.json` based on the research topic, proposal, and processed references. If an exemplary reference paper exists, its structure can be emulated.
2. **Generate Summary Layer**: Write detailed summaries for each framework node, forming `summaries.json`.
3. **Write Body Layer**: Based on the framework structure and summary content, write detailed content for each part in the `./document_body/` directory, following the format `Chapter_X/Section_X.X_Title.md`. If a section becomes too long, split it into multiple files (e.g., `Section_X.X_Title_trunc_1.md`).
**Stage 3: Assembly & Synchronization**
1. **Assemble Final Document**: Run a concatenation script that reads all Markdown files in `./document_body/` and merges them in the order defined by the framework layer into a complete `thesis_final.md` file. This is a programmatic process, not reliant on AI.
2. **Critical: Synchronization Mechanism**:
- **Top-down Modification**: When the user or AI modifies the **Framework Layer (`structs.json`)** or **Summary Layer (`summaries.json`)**, the corresponding **Body Layer** files must be rewritten or updated.
- **Bottom-up Modification**: When the user or AI modifies a **Body Layer** file, extract its core information to update the corresponding **Summary Layer** entry and **Framework Layer** abstract.
- This synchronization is crucial for maintaining logical consistency and preventing fragmentation, and must be executed after each modification.
## 4. How to Use (Operating Steps)
When the user triggers the skill, I will work according to the following logic:
1. **Confirm Working Directory**: I will first establish the project root directory. If not specified, I will use the default `./PaperProject/` in the current working directory. All generated files will be placed within this directory or its subdirectories.
2. **Execute the Requested Task**:
- **If the request is "start" or "process references"**:
a. Check the directory structure and list all items in the `references` folder.
b. Execute the "Literature Review & Processing" workflow for each item.
c. Generate a `literature_review_report.md` summarizing key findings and interconnections.
- **If the request is "generate framework"**:
a. Comprehensively analyze the research proposal, core insights from processed references, and institutional guidelines.
b. Generate or update `structs.json` (Framework Layer) in the project root.
- **If the request is "write body"**:
a. Read `structs.json` and `summaries.json`.
b. Create corresponding folders and files in the `./document_body/` directory and begin writing content. Existing files in this directory may be overwritten.
c. While writing each section, query `summaries.json` and the associated reference knowledge bases.
- **If the request is "sync modification"**:
a. The user indicates which file was modified (e.g., `./document_body/Chapter_3/3.1_Current_Analysis.md`).
b. I first read the modified file content, extract a new abstract and key points.
c. Update the `section_summary` for the corresponding `section_id` in `summaries.json`.
d. Update the `abstract` and `key_points` for the corresponding `section_id` in `structs.json`.
- **If the request is "find literature"**:
a. Perform a network search based on the user-provided keywords.
b. Attempt to download PDFs to the `references` directory.
c. Create a folder and `information.md` for each, regardless of download success. If downloaded successfully, proceed with structured parsing.
3. **Output & Confirmation**: After each operation, I will clearly state which files were generated, their paths, and briefly describe their content.
## 5. Edge Cases
- **Directory Doesn't Exist**: If the project directory doesn't exist, I will ask the user if they want to create it.
- **References Folder Empty**: If the `references` folder is empty, I will notify the user and ask if they want to proceed directly to framework design or start a network search for literature.
- **Research Proposal Missing**: If no research proposal is found, I will generate a very basic initial framework based on the paper title and general academic structure, noting that it will require significant revision.
- **Sync Conflict**: If major, irreconcilable discrepancies are detected between the Framework, Summary, and Body layers for the same section, I will list the conflicts and **pause automatic synchronization**, requesting manual user judgment and instruction.识别并去掉文本里的 AI 写作痕迹,让文字读起来更像人写。
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识别并去除 AI 生成文本痕迹的中文文字编辑技能。
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写网文章节并按文件落盘,聊天里只回摘要与指针。
把一组营销方法模块收进同一个技能,按请求路由到对应模块取清单与可交付稿。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。