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paper-engineering-assistant造纸工程助理

Agent Skill

paper-engineering-assistant 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

15,288

周安装

637

GitHub Stars

公开资料未说明

下载量

5,096
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:paper-engineering-assistant(造纸工程助理)
来源仓库:https://github.com/mrchenkuan/paper-engineering-assistant
安装命令:
openclaw skills install paper-engineering-assistant
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install paper-engineering-assistant

简介

基于“框架层-汇总层-主体层”三层架构的自动化论文写作与文献管理助手。严格按照用户指定的目录(`workspace/毕业论文`)组织所有文件。

SKILL.md

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.

  1. 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.

  1. 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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

84.66%
按下载量换算4,314

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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