🧪 Skills

Paper Engineering Assistant

基于“框架层-总结层-正文层”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。

v1.0.1
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Description


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.

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