據 AlphaMoat 統計,截至 2026-09,Paper Engineering Assistant 累計下載 1,950 次、獲 0 個星標,在全部 5,078 個 AI 技能中排名第 4,465 位,在「內容創作」分類(362 個)中排名第 300 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 36 | 1301 | - | - |
| SkillHub ↗ | 396 | 1950 | - | — |
各平台的計數口徑不同,統計時間不一致。
在指定目錄中處理文獻後設資料與原文,建立章節框架和摘要,並按順序拼合正文。改動後需同步關聯層;缺原文只儲存後設資料,現有正文可能被覆蓋,重大沖突應暫停自動同步並由使用者判斷。
資料釋出於 2026-10-27
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 1950 | — | - |
| 2026-08 | 1748 | +5.9% | - |
| 2026-07 | 1650 | +15.4% | - |
| 2026-06 | 1430 | +9.7% | - |
| 2026-05 | 1304 | — | - |
| 2026-03 | 828 | — | - |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 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.識別並去掉文字里的 AI 寫作痕跡,讓文字讀起來更像人寫。
把文字里 AI 寫作的典型痕跡挑出來並改寫得更自然,同時保留原意的寫作編輯技能。
識別並去除 AI 生成文字痕跡的中文文字編輯技能。
wechat-search 檢索公眾號熱門文章,並按相關性、熱度和時效整理結果。
從公開短影片分享連結提取標題、簡介和口播文案,並給出改寫版本。
humanizer 為中英文文字提供更自然的表達和風格編輯指導。
寫網文章節並按檔案落盤,聊天裡只回摘要與指標。
把一組行銷方法模組收進同一個技能,按請求路由到對應模組取清單與可交付稿。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。