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paper-implementation-finder

paper-implementation-finder

Finds the most popular unofficial GitHub implementation for a given academic paper (PDF) and updates a JSON file with the repository URL.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: paper-implementation-finder description: Finds the most popular unofficial GitHub implementation for a given academic paper (PDF) and updates a JSON file with the repository URL.

Instructions

Objective

When a user provides a PDF of an academic paper (typically without an official code repository) and a result.json file, find the most popular (by star count) unofficial implementation on GitHub and update the JSON file with the repository URL.

Core Workflow

  1. Extract Paper Information:

    • Use pdf-tools-get_pdf_info to get basic metadata (e.g., page count).
    • Use pdf-tools-read_pdf_pages to read the first few pages (e.g., 1-3) to identify the paper's title, authors, and key technical terms (e.g., "Mixture-of-Depths").
  2. Formulate GitHub Search Query:

    • Construct a search query using the most distinctive terms from the paper's title and abstract. Prioritize the paper's title or a unique acronym (e.g., "Mixture-of-Depths transformer").
    • Avoid overly generic terms that will return irrelevant results.
  3. Search and Identify the Target Repository:

    • Use github-search_repositories with the formulated query.
    • Analyze the search results (items).
    • Filtering Logic: The target repository must be an unofficial implementation of the specific paper provided. Check repository description and topics for clear mentions of the paper.
    • Selection Criteria: Among the filtered repositories, select the one with the highest stargazers_count. This is the "most popular" implementation.
    • Edge Case: If the highest-starred repo is for a different paper (e.g., mentions the technique only as a feature), proceed to the next eligible repo.
  4. Update the Result File:

    • Read the existing result.json file using filesystem-read_file to understand its structure.
    • Write the selected repository's html_url into the result.json file using filesystem-write_file. Maintain the existing JSON structure (e.g., {"URL": "https://github.com/..."}).
  5. Verification and Completion:

    • Optionally, read the updated result.json to confirm the write was successful.
    • Provide a final summary to the user, stating the paper identified, the repository selected, and its star count.
    • Claim completion with local-claim_done.

Key Considerations

  • Accuracy over Speed: It is more important to find the correct unofficial implementation than the first one listed. Carefully read repository descriptions.
  • Clear Communication: Explain your reasoning to the user when selecting between multiple candidate repositories.
  • File Paths: The skill assumes the PDF and result.json are provided in a known workspace directory (e.g., /workspace/dumps/workspace/). Use the paths provided in the user's request or context.
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