Academic Research Skills for Claude Code

A comprehensive suite of Claude Code skills for academic research, covering the full pipeline from research to publication.

Features

Deep Research — 13-agent research team with Socratic guided mode + systematic review / PRISMA
Academic Paper — 12-agent paper writing with LaTeX output hardening, visualization, revision coaching, and citation conversion
Academic Paper Reviewer — Multi-perspective peer review with 0-100 quality rubrics (EIC + 3 dynamic reviewers + Devil's Advocate)
Academic Pipeline — Full 10-stage pipeline orchestrator with adaptive checkpoints, claim verification, and material passport

Full Pipeline

Research → Write → Integrity Check → Review (5-person) → Socratic Coaching
  → Revise → Re-Review → Re-Revise → Final Integrity Check → Finalize
  → Process Summary (with Collaboration Quality Evaluation)

Key Features:

Adaptive checkpoints (FULL / SLIM / MANDATORY) after every stage
Pre-review integrity verification — 100% reference, data, and claim validation (Phase A-E)
Two-stage review with Devil's Advocate + 0-100 quality rubrics
Socratic revision coaching between review and revision stages
Final integrity verification before publication
Output: MD + DOCX + LaTeX (APA 7.0 apa7 class / IEEE / Chicago) → PDF via tectonic
Post-pipeline process summary with 6-dimension collaboration quality scoring (1–100)
Material passport for mid-entry provenance tracking
Cross-skill mode advisor (14 scenarios + user archetypes)

Showcase: Real Pipeline Output

See the complete artifacts from a real 10-stage pipeline run — including peer review reports, integrity verification reports, and the final paper:

Browse all pipeline artifacts →

| Artifact | Description | |----------|-------------| | Final Paper (EN) | APA 7.0 formatted, LaTeX-compiled | | Final Paper (ZH) | Chinese version, APA 7.0 | | Integrity Report — Pre-Review | Stage 2.5: caught 15 fabricated refs + 3 statistical errors | | Integrity Report — Final | Stage 4.5: zero regressions confirmed | | Peer Review Round 1 | EIC + 3 Reviewers + Devil's Advocate | | Re-Review | Verification after revisions | | Peer Review Round 2 | Follow-up review | | Response to Reviewers | Point-by-point author response | | Post-Publication Audit Report | Independent full-reference audit: found 21/68 issues missed by 3 rounds of integrity checks |

Performance Notes

Recommended model: Claude Opus 4.6 with Max plan (or equivalent extended-thinking configuration).

The full academic pipeline (10 stages) consumes a large amount of tokens — a single end-to-end run can exceed 200K input + 100K output tokens depending on paper length and revision rounds. Budget accordingly.

Individual skills (e.g., deep-research alone, or academic-paper-reviewer alone) consume significantly less.

Recommended Settings

For the best experience with these skills, enable the following Claude Code features:

| Setting | What it does | How to enable | Docs | |---------|-------------|---------------|------| | Agent Team | Spawns subagents for parallel research, writing, and review — critical for multi-agent pipelines | Set CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 (research preview) | Agent Teams | | Ralph Loop | Keeps the session alive during long-running pipeline stages so Claude can work autonomously without timing out | Use /ralph-loop to activate | Ralph Loop | | Skip Permissions | Bypasses per-tool confirmation prompts, enabling uninterrupted autonomous execution across all pipeline stages | Launch with claude --dangerously-skip-permissions | Permissions · Advanced Usage |

⚠️ Skip Permissions: This flag disables all tool-use confirmation dialogs. Use at your own discretion — it is convenient for trusted, long-running pipelines but removes the safety net of manual approval. Only enable this in environments where you are comfortable with Claude executing file reads, writes, and shell commands without asking first.

Prerequisites

Install Claude Code

Recommended: Native installer (no Node.js required, auto-updates):

# macOS / Linux
curl -fsSL https://claude.ai/install.sh | bash

# Windows (PowerShell)
irm https://claude.ai/install.ps1 | iex

<details> <summary>Alternative: npm install (deprecated)</summary>

Requires Node.js 18+.

npm install -g @anthropic-ai/claude-code

</details>

Set Up API Key

You need an Anthropic API key. Get one at https://console.anthropic.com/

# Claude Code will prompt for your API key on first run
claude

Or set it as an environment variable:

export ANTHROPIC_API_KEY=sk-ant-xxxxx

Installation

Method 1: As Project Skills (Recommended)

Clone this repo into your project's .claude/skills/ directory:

# Navigate to your project root
cd /path/to/your/project

# Create skills directory if it doesn't exist
mkdir -p .claude/skills

# Clone the skills
git clone https://github.com/Imbad0202/academic-research-skills.git .claude/skills/academic-research-skills

Then copy the .claude/CLAUDE.md content into your project's .claude/CLAUDE.md (merge with existing if you have one).

Global installation: To make skills available across all your projects, install to ~/.claude/skills/ instead:
mkdir -p ~/.claude/skills
git clone https://github.com/Imbad0202/academic-research-skills.git ~/.claude/skills/academic-research-skills

Method 2: As a Standalone Project

# Clone the repo
git clone https://github.com/Imbad0202/academic-research-skills.git

# Navigate to the project
cd academic-research-skills

# Start Claude Code
claude

<details> <summary><strong>Don't have Git?</strong> Download as ZIP instead</summary>

Go to https://github.com/Imbad0202/academic-research-skills
Click the green Code button → Download ZIP
Extract the ZIP to your desired location
For Method 1: move the extracted folder to .claude/skills/academic-research-skills inside your project
For standalone use: open a terminal in the extracted folder and run claude

</details>

Method 3: Claude Cowork (Desktop)

Use these skills in Claude Cowork — Claude Desktop's agentic workspace for knowledge work.

Option A: Folder Access (Quickest)

Clone this repo to a local folder:

git clone https://github.com/Imbad0202/academic-research-skills.git ~/academic-research-skills

Open Claude Desktop → click Cowork tab (top bar)
Select the cloned academic-research-skills folder as the working directory
Claude will auto-detect the skills from SKILL.md files and load them as needed

Option B: As Project Skills

If you already have a project folder in Cowork:

cd /path/to/your/project
mkdir -p .claude/skills
git clone https://github.com/Imbad0202/academic-research-skills.git .claude/skills/academic-research-skills

Skills will auto-load when relevant to your conversation — e.g., saying "help me write a paper" triggers academic-paper.

Requirements:

Claude Desktop (latest version) with Cowork enabled
Paid plan (Pro, Max, Team, or Enterprise)

Method 4: Upload to claude.ai

You can load these skills via claude.ai's Project feature without installing Claude Code.

Steps:

Download all 4 SKILL.md files from this repo:
- deep-research/SKILL.md
- academic-paper/SKILL.md
- academic-paper-reviewer/SKILL.md
- academic-pipeline/SKILL.md
Sign in to claude.ai
Create a new Project:
- Click Projects → Create Project in the sidebar
- Name it "Academic Research" (or any name you prefer)
Upload SKILL.md files:
- Open the Project → click Project Knowledge (right panel)
- Click Add Content → Upload Files
- Upload all 4 SKILL.md files
(Optional) Upload reference and template files for better results:
- Files under deep-research/references/ (APA guide, methodology templates, etc.)
- Files under academic-paper/references/ (citation formats, writing style, etc.)
- Files under academic-paper/templates/ (paper structure templates)
Start chatting: Open a new conversation in the Project and say "Guide my research on X" or "Help me write a paper"

claude.ai Limitations:

Project Knowledge file size limit: 200KB per file
version and last_updated in SKILL.md YAML frontmatter must be under metadata:, otherwise upload will fail
claude.ai does not support parallel multi-agent execution; results may not be as comprehensive as Claude Code
Recommended: upload at least 4 SKILL.md files + core references for best results

Usage

Quick Start

# Star

Academic Research Skills

Install / Use

README