What inputs do I need to provide?

You need to provide the local file path to the research paper PDF and the URL of the implementation's GitHub repository.

Does this skill require external models like GPT or Gemini?

By default, it runs in Claude-only mode. However, it supports a multi-model mode if you have the appropriate MCP servers configured for maximum perspective diversity.

What kind of output does Paper Council generate?

It generates a new skill directory containing a main SKILL.md file, a paper summary, a key concepts reference, and a detailed code guide.

What is the Paper Council workflow?

It is a 4-phase process where three specialist agents analyze a paper/repo, peer-review each other's findings anonymously, and a chairman synthesizes the best content into a structured skill.

Paper Council

Name: Paper Council
Author: jaaaackieLai

byjaaaackieLai

0•

数据科学与机器学习

Transforms research papers and code repositories into high-quality, reusable AI skills through a multi-agent peer-review process.

Paper Council is a sophisticated workflow designed to bridge the gap between academic research and practical implementation. It automates the analysis of deep learning papers and their corresponding GitHub repositories by employing a 'council' of three specialist agents who independently evaluate content, perform anonymized peer reviews, and synthesize findings. This rigorous process ensures that the resulting Claude skills capture nuanced theoretical concepts and technical implementation details with high fidelity, creating structured reference guides for developers and researchers.

主要功能

01Standardized output of summaries, key concepts, and implementation guides

02Anonymized peer-review protocol to eliminate blind spots and errors

03Automated PDF extraction and repository structural mapping

04Optional multi-model diversity using Claude, GPT, and Gemini via MCP

05Multi-agent council architecture with specialist theory and code analysts

060 GitHub stars

使用场景

01Performing deep-dive technical audits of machine learning repositories

02Building a standardized knowledge base for academic papers within a development team

03Packaging a new research paper and its code into a reusable Claude reference skill

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jaaaackielai/deep-learning-claude-code paper

For use in Claude.ai and ChatGPT

主要功能

01Standardized output of summaries, key concepts, and implementation guides

02Anonymized peer-review protocol to eliminate blind spots and errors

03Automated PDF extraction and repository structural mapping

04Optional multi-model diversity using Claude, GPT, and Gemini via MCP

05Multi-agent council architecture with specialist theory and code analysts

060 GitHub stars

使用场景

01Performing deep-dive technical audits of machine learning repositories

02Building a standardized knowledge base for academic papers within a development team

03Packaging a new research paper and its code into a reusable Claude reference skill

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jaaaackielai/deep-learning-claude-code paper

For use in Claude.ai and ChatGPT