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proyecto26/sherlock-ai-plugin · Archived

paper-analyzer

Transform academic papers into in-depth technical articles with multiple writing style options. Use the MinerU Cloud API for high-precision PDF parsing, automatically extracting images, tables, and formulas. Optional formula explanations and GitHub code analysis, generating Markdown and HTML formats.

First seen Mar 5, 2026

Installation

$ npx skills add proyecto26/sherlock-ai-plugin --skill paper-analyzer
View on skills.sh ↗ GitHub repository ↗

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Also in this package

Other skills from proyecto26/sherlock-ai-plugin.

npx skills add proyecto26/sherlock-ai-plugin
genimg-gemini-web 35 paper2code 34 paper-comic 32 deep-research 23 visual-architect 16 paper-visualizer 6

Browse all from proyecto26/sherlock-ai-plugin

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 35
License LICENSE
Default branch main
Open issues 0
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,950 B
  • docs SUMMARY.md 323 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 34 installs

SKILL.md

Academic Paper Analyzer – In-Depth Analysis of Academic Papers

Core Capabilities

  • MinerU Cloud API for high-precision PDF parsing
  • Automatic extraction of images, tables, and LaTeX formulas
  • Multiple writing styles: storytelling / academic / concise
  • Optional formula explanations: insert formula images with detailed symbol explanations
  • Optional code analysis: combine explanations with GitHub open-source code
  • Output Markdown + HTML (base64-embedded images)

Prerequisites

MinerU API Token

  1. Visit https://mineru.net and register an account
  2. Obtain an API Token
  3. Set an environment variable (recommended):

``bash export MINERUTOKEN="yourtoken_here" ``

Dependency Installation

pip install requests markdown

Workflow

Step 1: PDF Parsing (Using MinerU API)

python scripts/mineru_api.py <pdf_path> <output_dir>

Or pass the token directly:

python scripts/mineru_api.py paper.pdf ./output YOUR_TOKEN

Output:

  • output_dir/*.md – Markdown files (including formulas and tables)
  • output_dir/images/ – High-quality extracted images

Step 2: Extract Paper Metadata

python scripts/extract_paper_info.py <output_dir>/*.md paper_info.json

Step 3: Style Selection (Ask the User)

Before generating the article, you must ask the user to choose the following options:

1. Writing Style (Required)

Style Characteristics Use Cases
storytelling Starts from intuition, uses metaphors and examples, narrative-driven Blogs, tech columns, popular science
academic Professional terminology, rigorous expression, preserves original concepts Academic reports, surveys, research group sharing
concise Straight to the point, tables and lists, high information density Quick reads, paper overviews, technical research

2. Formula Option (Optional)

Option Description
with-formulas Insert formula images and explain symbol meanings in detail
no-formulas (default) Pure text description, no formula images

3. Code Option (Optional, only if the paper has GitHub)

Option Description
with-code Clone the repository, include key source code, and explain it alongside the paper
no-code (default) No code analysis

Step 4: Intelligent Article Generation

(...)

API Limits

  • Maximum file size: 200MB
  • Maximum pages per file: 600
  • Supports PDF, DOC, PPT, images, and more