Content
# Awesome Academic Research Skills
> Daily-updated ranking of GitHub repositories that provide academic, paper-writing, literature-review, deep-research, peer-review, and experiment-reproducibility skills for AI coding agents (Claude Code, Codex, OpenCode, …).
[](#Tool List)
[](#Tool List)
[](#收录标准)
[](LICENSE)
[](.github/workflows/update-rankings.yml)
[English](#english) · [Visualization](https://kael-odin.github.io/awesome-academic-research-skills/) · [JSON](data/rankings.json) · [CSV](data/rankings.csv) · [Methodology](docs/methodology.md) · [Contributing](CONTRIBUTING.md)
## Features
- 🔄 **Daily Auto Update** — GitHub Actions run daily at 02:20 UTC, automatically searching, filtering, ranking, and submitting.
- 🎯 **Precise Dual Signal Filtering** — Must match both "Skill/Agent/Workflow" and "Academic/Research/Paper" signals, blocking generic AI projects.
- 📈 **7-Day Trend Window** — Based on historical snapshots, calculating 1-week Star growth, eliminating single-day fluctuations.
- 🆕 **New Entries This Week** — Automatically identifying new repositories entering the list within the last 7 days.
- 🏷️ **Applicable Agent Tags** — Inferring tags for each repository targeting Claude Code, Codex, OpenCode, or MCP.
- 🌐 **Bilingual Visualization** — Prioritizing Chinese, supporting English switching, search, categorization, and multi-dimensional sorting.
- 📦 **Machine Readable** — Providing JSON and CSV data files for secondary development and subscription.
## Tool List
- Update Time: `2026-06-30T05:34:13Z`
- Inclusion Criteria: GitHub Stars ≥ `100`, excluding forks, archived repositories, and non-academic projects.
- Precise Rules: Must match both Skill/Agent/Workflow signals **and** Academic/Research/Paper signals.
- Trend Metrics: Comprehensive calculation based on 7-day new Stars, recent push time, new repository weighting, and overall Star scale.
- Category Overview: Deep Research 6 · Paper Writing 6 · Literature Review 0 · Peer Review 0 · Experiment Reproduction 0 · Subject-Specific 3 · Comprehensive Research 6
| # | Repository | Stars | Trend | Category | Applicable Agent | Description | Last Update |
|---:|---|---:|---|---|---|---|---|
| 1 | [Imbad0202/academic-research-skills](https://github.com/Imbad0202/academic-research-skills) | 35,404 | Rising (7d:+16) | Paper Writing | Claude | Academic Research Skills for Claude Code: research → write → review → revise → finalize | 2026-06-24 |
| 2 | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills) | 29,622 | Steady Growth (7d:+5) | Subject-Specific | Claude/Codex | Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by… | 2026-06-29 |
| 3 | [Yuan1z0825/nature-skills](https://github.com/Yuan1z0825/nature-skills) | 24,405 | Rising (7d:+22) | Deep Research | Codex | Skills for nature paper academic expression and research plotting | 2026-06-30 |
| 4 | [wanshuiyin/Auto-claude-code-research-in-sleep](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep) | 12,801 | Steady Growth (7d:+4) | Deep Research | Claude/Codex/MCP | ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML res… | 2026-06-28 |
| 5 | [Orchestra-Research/AI-Research-SKILLs](https://github.com/Orchestra-Research/AI-Research-SKILLs) | 10,236 | Steady Growth (7d:+4) | Deep Research | Claude/Codex | Comprehensive open-source library of AI research and engineering skills for any AI model.… | 2026-06-16 |
| 6 | [Imbad0202/academic-research-skills-codex](https://github.com/Imbad0202/academic-research-skills-codex) | 5,065 | Steady Growth (7d:+4) | Comprehensive Research | Codex | Codex-native Academic Research Skills suite for human-in-the-loop academic research workf… | 2026-06-29 |
| 7 | [Master-cai/Research-Paper-Writing-Skills](https://github.com/Master-cai/Research-Paper-Writing-Skills) | 4,525 | Steady Growth (7d:+2) | Subject-Specific | Claude/Codex | Skill package for ML/CV/NLP paper writing, curated and adapted from Prof. Peng Sida's ope… | 2026-06-23 |
| 8 | [HKUSTDial/Supervisor-Skills](https://github.com/HKUSTDial/Supervisor-Skills) | 3,384 | Steady Growth (7d:+4) | Subject-Specific | Generic | Distilling 10 years of research experience into directly usable AI skills. From idea generation to paper submission, your AI research supervisor. | 2026-06-26 |
| 9 | [Weizhena/Deep-Research-skills](https://github.com/Weizhena/Deep-Research-skills) | 1,400 | Steady Growth (7d:+7) | Deep Research | Claude/Codex/OpenCode | Structured deep research skill for Claude Code/Open Code/Codex with human-in-the-loop con… | 2026-05-07 |
| 10 | [pedrohcgs/claude-code-my-workflow](https://github.com/pedrohcgs/claude-code-my-workflow) | 1,326 | Steady (7d:0) | Paper Writing | Claude | A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent re… | 2026-06-10 |
| 11 | [aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills) | 1,265 | Steady (7d:0) | Comprehensive Research | Generic | Hundreds of agent skills for medical research, including protocol design, data analysis,… | 2026-06-23 |
| 12 | [lishix520/academic-paper-skills](https://github.com/lishix520/academic-paper-skills) | 968 | Stable (7d:0) | Comprehensive Research | Claude | Systematic framework for planning and writing academic papers using Claude Code. Includes… | 2026-01-04 |
| 13 | [199-biotechnologies/claude-deep-research-skill](https://github.com/199-biotechnologies/claude-deep-research-skill) | 805 | Stable (7d:0) | Deep Research | Claude | Enterprise-grade deep research skill for Claude Code with 8-phase pipeline, source credib… | 2026-04-11 |
| 14 | [LigphiDonk/Oh-my--paper](https://github.com/LigphiDonk/Oh-my--paper) | 673 | Stable (7d:0) | Paper Writing | Claude | A Claude Code plugin that turns your terminal into an autonomous research lab — literatur… | 2026-04-15 |
| 15 | [Ar9av/PaperOrchestra](https://github.com/Ar9av/PaperOrchestra) | 599 | Steady Growth (7d:0) | Paper Writing | Claude | An automated AI research-paper writer based off Google's PaperOrchestra paper's implement… | 2026-06-13 |
| 16 | [jimmc414/Kosmos](https://github.com/jimmc414/Kosmos) | 545 | Stable (7d:0) | Deep Research | Claude | Kosmos: An AI Scientist for Autonomous Discovery - An implementation and adaptation to be… | 2026-04-04 |
| 17 | [hkcanan/katmer-code](https://github.com/hkcanan/katmer-code) | 456 | Steady Growth (7d:0) | Comprehensive Research | Claude/Codex | Multi-provider AI sidebar for Obsidian — Claude, Gemini, Codex, Antigravity. Per-tab rout… | 2026-05-26 |
| 18 | [hanlulong/econ-writing-skill](https://github.com/hanlulong/econ-writing-skill) | 420 | Steady Growth (7d:+1) | Paper Writing | Claude/Codex | Agent Skill that transforms AI assistants into expert economics paper writers. Synthesize… | 2026-05-30 |
| 19 | [claesbackman/AI-research-feedback](https://github.com/claesbackman/AI-research-feedback) | 396 | Stable (7d:0) | Comprehensive Research | Claude | A collection of Claude Code skills for academic research review. These tools were develop… | 2026-04-16 |
| 20 | [LimHyungTae/awesome-claudecode-paper-proofreading](https://github.com/LimHyungTae/awesome-claudecode-paper-proofreading) | 391 | Stable (7d:0) | Paper Writing | Claude | Claude Code-driven research paper proofreading prompt | 2026-04-19 |
| 21 | [fcakyon/phd-skills](https://github.com/fcakyon/phd-skills) | 302 | Stable (7d:0) | Comprehensive Research | Claude/MCP | PhD Research Skills for Claude Code: paper reproduction, experiment design, paper review,… | 2026-05-09 |
## Category Standards
| Category | Description |
|---|---|
| Deep Research | Multi-stage research agent, source validation, autonomous discovery, deep research workflow |
| Paper Writing | Paper conception, writing, polishing, LaTeX, proofreading, revision |
| Literature Review | Literature survey, citation, bibliography, source collection |
| Peer Review | Peer review, reviewer feedback, critique, referee report |
| Experiment Reproduction | Experiment design, benchmark, evaluation, reproducibility |
| Subject-Specific | Specific to fields like economics, biology, medicine, ML/CV/NLP |
| Comprehensive Research | General research skills covering multiple research processes |
## Usage
1. Browse the above list, prioritizing Stars, trends (7-day changes), and categories.
2. Open the [visualization page](https://kael-odin.github.io/awesome-academic-research-skills/) for search, categorization, sorting, and bilingual switching.
3. For machine reading, use [data/rankings.json](data/rankings.json) or [data/rankings.csv](data/rankings.csv).
4. To recommend new repositories, submit an Issue with the repository link and a brief recommendation or directly PR modify `config/ranking.json`.
## Inclusion Criteria
- Repositories must serve academic, research, paper, literature, peer review, or experiment reproduction purposes.
- Repositories must have Skill, Agent, Workflow, Claude Code, Codex, OpenCode, or similar reusable workflow signals.
- Default minimum threshold is 100 Stars (adjustable in `config/ranking.json`).
- Forks, archived repositories, and non-academic projects are excluded.
## Auto Update
GitHub Actions run daily [.github/workflows/update-rankings.yml](.github/workflows/update-rankings.yml):
- Using GitHub Search API to search for candidate repositories + pulling seed repository metadata.
- Applying precise filtering, categorization, and trend calculation (based on daily historical snapshots in `data/history/`).
- Updating `README.md`, `data/rankings.json`, `data/rankings.csv`, `data/rankings.js`.
- Saving daily snapshots to `data/history/YYYY-MM-DD.json` (retaining recent 60 days).
- If data changes, automatically committing to `main`.
Manual local update:
```bash
python scripts/update_rankings.py
python -m unittest discover -s tests -v
```
## English
**Awesome Academic Research Skills** is a daily-updated ranking of GitHub repositories that provide academic, paper-writing, literature-review, deep-research, peer-review, and experiment-reproducibility skills for AI coding agents (Claude Code, Codex, OpenCode, …).
The ranking requires **both** a skill/agent/workflow signal **and** an academic/research/paper signal. Low-star, archived, forked, and clearly unrelated repositories are excluded. The trend column shows 7-day star growth. A bilingual static dashboard is available at the link above.
## License
MIT
Connection Info
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