Academic Research Skills — AI-Powered Research-to-Publication Pipeline

Introduction

Academic Research Skills is a Claude Code skill suite implementing a complete research-to-publication pipeline. It structures the academic writing process into five stages — research, write, review, revise, and finalize — each with a dedicated skill guiding the agent through discipline-specific best practices.

What It Does

• Implements a five-stage pipeline: research, write, review, revise, finalize
• Guides literature discovery and synthesis with systematic search strategies
• Generates draft sections following academic conventions for structure and citation
• Performs peer-review-style critique of argumentation, methodology, and clarity
• Applies targeted revisions based on feedback while preserving author voice
• Produces finalized manuscripts with consistent formatting and proper references

Architecture Overview

Organized as interconnected Claude Code skills, each corresponding to a pipeline stage. Skills load context-specific instructions and templates into the agent's context window. The pipeline is sequential but flexible — any stage can run independently. Skills communicate through the file system, reading prior outputs as inputs. No external dependencies beyond Claude Code. All skill files are plain Markdown.

Self-Hosting & Configuration

• Clone and copy skill files to your Claude Code skills directory
• No API keys or external services required
• Customize templates for your target journal or conference format
• Adjust citation format, section ordering, and terminology per discipline
• Works offline once installed with no network dependency

Key Features

• End-to-end coverage from literature review through submission-ready manuscript
• Each stage independently usable for targeted AI assistance
• Review stage catches logical gaps, unsupported claims, and structural issues
• Discipline-agnostic design adapting to CS, social sciences, humanities, and STEM
• Transparent process with all instructions in auditable Markdown

Comparison with Similar Tools

• Elicit — focused on literature search; this covers the full research-to-publication pipeline
• Writefull — language polishing; this addresses structure, argumentation, and methodology too
• Overleaf / LaTeX — document preparation; this operates upstream generating and refining content

FAQ

Q: Does it write the paper for me? A: It assists at every stage but requires your intellectual input for research direction and core arguments.

Q: Which citation styles are supported? A: Configurable for APA, IEEE, ACM, Chicago, and others by editing skill templates.

Q: Can I use it for theses or grant proposals? A: Yes. The pipeline stages adapt to proposals, theses, and other long-form academic documents.

Q: Does it handle data analysis? A: The focus is text-based research and writing. Use complementary tools for data analysis.

Sources

• https://github.com/Imbad0202/academic-research-skills