skillsby Imbad0202
academic-research-skills
This repository provides a comprehensive suite of Claude Code skills tailored for academic research, guiding users from initial research planning through writing and peer review. It includes multiple specialized modules such as deep research, academic paper writing, peer review, and systematic review study screening. Each module incorporates integrity gates and validation checks to help maintain rigorous academic standards.
AI-written from the README.
Best for
Researchers and academics looking for an AI-assisted pipeline to plan, write, and review scholarly papers within Claude Code.
Highlights
- A 13-agent deep research team with Socratic guided modes and systematic review workflows.
- A 12-agent academic paper writing pipeline supporting multiple reference styles and formats.
- A 7-agent peer review module with multi-perspective narrative judgments.
Getting started
Quoted from the project's README. Read it before you run it.
/plugin marketplace add Imbad0202/academic-research-skillsPros
- Covers the complete research-to-publication pipeline across multiple specialized modules.
- Incorporates structured human-in-the-loop integrity gates and verification checks.
Cons
- Complex multi-stage setup and pipeline rules require significant user familiarity.
- Output quality and adherence to guidelines depend heavily on the underlying LLM capabilities.
Security notes
AI-generated and unchecked. Always read the source yourself.
The README does not document arbitrary code execution. Regarding API keys, the README states that an ANTHROPIC_API_KEY must be exported or set on the first run.
Community score
… points
Votes measure opinion, not security or correctness.