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

> A Claude Code skill suite that implements a complete academic research workflow: research, write, review, revise, and finalize papers with AI assistance.

## Install

Save in your project root:

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

## Quick Use
```bash
git clone https://github.com/Imbad0202/academic-research-skills.git
cp -r academic-research-skills/.claude/skills ~/.claude/skills/academic-research
# Use slash commands: /research, /write, /review, /revise, /finalize
```

## 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

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Source: https://tokrepo.com/en/workflows/asset-77204a65
Author: AI Open Source