https://github.com/InternScience/Awesome-Scientific-Skills
An open, curated collection of Agent Skills for scientific research — clone it, use it, extend it!
https://github.com/InternScience/Awesome-Scientific-Skills
List: awesome-scientific-skills
agent-skills awesome-list openclaw-skills scientific-data scientific-discovery scientific-skill
Last synced: 2 days ago
JSON representation
An open, curated collection of Agent Skills for scientific research — clone it, use it, extend it!
- Host: GitHub
- URL: https://github.com/InternScience/Awesome-Scientific-Skills
- Owner: InternScience
- License: mit
- Created: 2026-03-03T04:14:39.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2026-05-26T02:53:39.000Z (about 1 month ago)
- Last Synced: 2026-06-20T21:02:57.372Z (19 days ago)
- Topics: agent-skills, awesome-list, openclaw-skills, scientific-data, scientific-discovery, scientific-skill
- Homepage:
- Size: 1.11 MB
- Stars: 445
- Watchers: 2
- Forks: 29
- Open Issues: 8
-
Metadata Files:
- Readme: readme.md
- License: LICENSE
Awesome Lists containing this project
- awesome-genomic-skills - Awesome-Scientific-Skills - An open, curated collection of agent skills for scientific research spanning bioinformatics, cheminformatics, data analysis, scientific writing, and literature search; currently a curated link collection, with plans to consolidate selected skills into a unified, clone-ready repository. Developed by InternScience, the open-source hub of the AI for Science Center at Shanghai AI Laboratory, which open-sources agents, LLMs/MLLMs, tools, and datasets to accelerate scientific discovery across disciplines. (Other Notable Awesome Lists!)
- awesome-software-engineering-tools - Awesome Scientific Skills
- awesome-academic-skills - Awesome Scientific Skills - by [Intern Science](https://github.com/InternScience) · `MIT`.<br>The closest active peer — a curated awesome-list of agent skills for science. Cross-reference, don't race. (Suites, Systems & Meta / Awesome Lists & Ecosystem Maps)
README
# Awesome Scientific Skills
**An open, curated collection of Agent Skills for scientific research — clone it, use it, extend it.**
**中文说明 / Chinese README:** [readme_CN.md](readme_CN.md)
### **Latest News**
- We open-sourced [Skiller](https://github.com/qishisuren123/skiller.git) — an automated tool that turns conversation logs or plain-text requirements into standards-compliant skill packages.
- We released [skill-metric](https://github.com/ddd9898/skill-metric) — a skills evaluation framework that screens high-quality skill repos across three dimensions. Results can also be found in /skills-metric.
[](https://awesome.re)   
⭐ **Star us on GitHub! Your support means the world to us!** 🙏😊
[Why this repo?](#why-this-repo) · [Skill Sources](#skill-sources) · [Categories](#scientific-skill-categories) · [Quick Start](#quick-start) · [Contributing](#contributing)
---
## The Problem
Thousands of Agent Skills are scattered across official registries and community repos. A researcher who needs to run a gene ontology enrichment, draft a grant proposal, and plot dose-response curves shouldn't have to dig through 30,000+ entries to find the right three skills. And once found, they shouldn't have to wire them together from scratch.
## The Goal
Build a **single, clone-ready repository** of high-quality skills selected and organized for scientific research — spanning bioinformatics, cheminformatics, data analysis, scientific writing, literature search, and beyond.
> **Phase 1 (current):** A curated link collection — the reading list before the library.
>
> **Phase 2:** Import and reorganize selected skills into a unified directory structure.
>
> **Phase 3:** Composition recipes — multi-skill workflows for real research tasks.
---
## Why This Repo?
| Feature | What it means for you |
|---|---|
| **Science-first curation** | Every skill is evaluated for relevance to real research workflows — not marketing demos |
| **Fully clonable** | `git clone` once, get a working skill library — no account, no registry, no API key |
| **Cross-agent compatible** | Works with Claude Code, Cursor, Codex, Gemini CLI, and any agent supporting the open [Agent Skills](https://agentskills.io) standard |
| **Open & auditable** | Every skill's source is public. Review before you run |
---
## Skill Sources
We draw from two tiers of upstream repositories:
### Official Skill Registries
| Repository | Description |
|---|---|
| [anthropics/skills](https://github.com/anthropics/skills) | Anthropic's official Agent Skills — skill-creator, web artifacts, MCP builder, brand guidelines, and more |
| [openai/skills](https://github.com/openai/skills) | OpenAI's official skill definitions |
| [huggingface/skills](https://github.com/huggingface/skills) | Hugging Face's skill collection for model-centric workflows |
| [openclaw/clawhub](https://github.com/openclaw/clawhub) | OpenClaw's community skill registry (13,700+ skills) |
### Community Curations
| Repository | Stars | Description |
|---|---|---|
| [VoltAgent/awesome-openclaw-skills](https://github.com/VoltAgent/awesome-openclaw-skills) | 25K+ | 5,400+ skills filtered from ClawHub — the largest community-curated awesome list |
| [travisvn/awesome-claude-skills](https://github.com/travisvn/awesome-claude-skills) | 7K+ | Curated Claude Skills with detailed progressive-disclosure architecture docs |
| [ComposioHQ/awesome-claude-skills](https://github.com/ComposioHQ/awesome-claude-skills) | 39K+ | 50+ verified skills for Claude Code / Claude.ai / API, plus 500+ app integrations via Composio |
| [heilcheng/awesome-agent-skills](https://github.com/heilcheng/awesome-agent-skills) | 2K+ | Cross-agent skill collection |
| [InternScience/scp/skills](https://github.com/InternScience/scp/tree/main/skills) | 113 | 206 scientific skills spanning drug discovery, genomics, protein engineering, chemistry, and related research workflows |
| [obra/superpowers/skills](https://github.com/obra/superpowers/tree/main/skills) | 68K+ | Opinionated "superpowers" skill set for power users |
| [vercel-labs/agent-skills](https://github.com/vercel-labs/agent-skills) | 21K+ | Vercel Labs' experimental agent skill toolkit |
| [nextlevelbuilder/ui-ux-pro-max-skill](https://github.com/nextlevelbuilder/ui-ux-pro-max-skill) | 36K+ | UI/UX focused skill for high-fidelity frontend generation |
| [coreyhaines31/marketingskills](https://github.com/coreyhaines31/marketingskills) | 11K+ | Marketing-oriented agent skills for CRO, copywriting, SEO, analytics, and growth workflows |
| [agentskills/agentskills](https://github.com/agentskills/agentskills) | 12K+ | Official specification and documentation for the open Agent Skills standard |
| [kepano/obsidian-skills](https://github.com/kepano/obsidian-skills) | 12K+ | Agent skills for Obsidian workflows (Markdown, Bases, JSON Canvas, and CLI integration) |
| [muratcankoylan/Agent-Skills-for-Context-Engineering](https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering) | 13K+ | Comprehensive skill collection for context engineering and production multi-agent systems |
| [ynulihao/AgentSkillOS](https://github.com/ynulihao/AgentSkillOS) | 233 | Searchable skill retrieval and orchestration system for building agents from 90,000+ skills |
| [OthmanAdi/planning-with-files](https://github.com/OthmanAdi/planning-with-files) | 15K+ | Persistent markdown planning workflow skill for Claude Code |
| [sickn33/antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills) | 20K+ | Large cross-agent collection (900+ skills) for Claude Code, Antigravity, and Cursor |
| [hesreallyhim/awesome-claude-code](https://github.com/hesreallyhim/awesome-claude-code) | 26K+ | Curated ecosystem list for Claude Code: skills, hooks, commands, apps, and plugins |
| [affaan-m/everything-claude-code](https://github.com/affaan-m/everything-claude-code) | 60K+ | Broad Claude Code ecosystem toolkit focused on performance, security, memory, and research workflows |
### Science-Specific
#### Specialized Domain Tools (Top Priority)
| Repository | Stars | Description |
|---|---|---|
| [K-Dense-AI/claude-scientific-skills](https://github.com/K-Dense-AI/claude-scientific-skills) | 11.5K+ | **148+ scientific skills** covering 250+ databases (PubMed, ChEMBL, UniProt, COSMIC, ClinicalTrials.gov, SEC EDGAR, etc.) - a broad foundation for this project's science tier |
| [jaechang-hits/scicraft](https://github.com/jaechang-hits/scicraft) | 17 | **140 validated life-science computational skills** for AI coding agents, with CI-validated structure and workflow-oriented references |
#### Academic Writing
| Repository | Stars | Description |
|---|---|---|
| [K-Dense-AI/claude-scientific-writer](https://github.com/K-Dense-AI/claude-scientific-writer) | 937 | Deep research + scientific writing tool with real-time literature search and verified citations |
| [HughYau/AcademicForge](https://github.com/HughYau/AcademicForge) | 250 | Curated skill collection for academic writing and research workflows (focused integration over broad skill quantity) |
#### Literature Search
| Repository | Stars | Description |
|---|---|---|
| [Intelligent-Internet/II-Commons-Skills](https://github.com/Intelligent-Internet/II-Commons-Skills) | 2 | Fast, daily-updated skill and CLI for deterministic retrieval across arXiv, PubMed/PMC, and supported US policy corpora |
| [yorkeccak/scientific-skills](https://github.com/yorkeccak/scientific-skills) | 21 | Natural-language scientific literature search skills with semantic retrieval across PubMed, arXiv, ChEMBL, DrugBank, and more |
| [Weizhena/Deep-Research-skills](https://github.com/Weizhena/Deep-Research-skills) | 90 | Structured deep-research workflow skill (outline + investigation) with human-in-the-loop control for academic, technical, and market research |
#### Neuroscience
| Repository | Stars | Description |
|---|---|---|
| [HughYau/neuroforge-skills](https://github.com/HughYau/neuroforge-skills) | 1 | Neuroscience skill set built around major Python toolchains (Brian2, MNE-Python, Nilearn, SpikeInterface, pyNIBS) |
| [HaoxuanLiTHUAI/awesome_cognitive_and_neuroscience_skills](https://github.com/HaoxuanLiTHUAI/awesome_cognitive_and_neuroscience_skills) | 9 | Cognitive science and neuroscience skill collection spanning EEG/ERP, fMRI, modeling, and subdomains; repository notes substantial AI-generated content |
---
## Scientific Skill Categories
Below is the target taxonomy. Skills from the sources above are mapped into these categories. Checked boxes indicate categories already well-covered upstream; unchecked indicate gaps we aim to fill.
### Wet-Lab & Life Sciences
- [x] **Bioinformatics & Genomics** — sequence analysis, single-cell RNA-seq (Scanpy), variant annotation, phylogenetics, gene regulatory networks
- [x] **Cheminformatics & Drug Discovery** — molecular property prediction (RDKit), docking, ADMET, compound library search (ChEMBL)
- [x] **Structural Biology** — protein structure prediction, PDB retrieval, molecular visualization
- [x] **Clinical & Medical Research** — ClinicalTrials.gov search, ICD coding, adverse event analysis, COSMIC/TCGA queries
### Computational & Data Science
- [x] **Statistical Analysis** — hypothesis testing, Bayesian inference, survival analysis, power calculations
- [x] **Machine Learning for Science** — PyTorch Lightning workflows, scikit-learn pipelines, hyperparameter tuning
- [ ] **Simulation & Modeling** — molecular dynamics, finite element analysis, agent-based modeling
- [ ] **High-Performance Computing** — job submission (SLURM/PBS), distributed training, GPU profiling
### Literature & Knowledge
- [x] **Literature Search & Retrieval** — PubMed, arXiv, Semantic Scholar, CrossRef, DOI resolution
- [x] **Scientific Writing** — paper drafting, grant proposals, peer review assistance, citation management
- [ ] **Knowledge Graphs** — ontology navigation (Gene Ontology, MeSH), entity linking, relationship extraction
### Research Operations
- [x] **Data Wrangling** — tabular data cleaning, format conversion, missing data imputation
- [x] **Visualization** — publication-quality plots (Matplotlib/Seaborn), interactive dashboards, figure layout
- [ ] **Reproducibility** — environment capture, notebook-to-pipeline conversion, data provenance tracking
- [x] **Document Processing** — PDF extraction, DOCX/PPTX generation, LaTeX compilation
### Quantitative & Financial Research
- [x] **Financial Data** — SEC EDGAR, Alpha Vantage, OFR Hedge Fund Monitor, Treasury fiscal data
- [ ] **Econometrics** — time series analysis, causal inference, panel data methods
---
## Quick Start
### Option 1 — Browse and pick
Explore the [Skill Sources](#Skill Sources) above, find what you need, and copy individual skill folders into your project:
```
your-project/
└── .claude/
└── skills/
├── pubmed-search/
├── rdkit-molecular-analysis/
└── scientific-writer/
```
### Option 2 — Clone the science stack (Phase 2)
```bash
# Coming soon — once we consolidate skills into this repo
git clone https://github.com/InternScience/Awesome-Scientific-Skills.git
cp -r Awesome-Scientific-Skills/skills/ your-project/.claude/skills/
```
### Compatibility
Skills follow the open [Agent Skills](https://agentskills.io) specification. They work with:
- **Claude Code** — `/skills` or `.claude/skills/` directory
- **Cursor** — reads from `.claude/skills/` and `.codex/skills/`
- **Codex** — `.codex/skills/` directory
- **Gemini CLI / Antigravity** — compatible via the Agent Skills standard
---
## Selection Criteria
Not every skill makes the cut. We apply these filters:
| Criterion | Requirement |
|---|---|
| **Scientific relevance** | Must serve a real research workflow — not a demo or toy example |
| **Source quality** | Published by a known team or actively maintained community project |
| **Documentation** | Clear SKILL.md with description, usage, and dependencies |
| **Open license** | MIT, Apache 2.0, or equivalent permissive license |
| **Security** | No network calls without explicit disclosure; no credential harvesting |
| **Non-redundant** | If two skills do the same thing, we keep the better-maintained one |
---
## Contributing
Contributions are welcome. This is a curated list — quality over quantity.
**To suggest a skill:**
1. Fork this repository
2. Add the skill to the appropriate section in `readme.md` with format:
```
| [skill-name](https://github.com/...) | Brief description of what it does |
```
3. Submit a Pull Request with a short note on why this skill is useful for scientific research
**What we're looking for:**
- Skills that solve real problems researchers face daily
- Skills that compose well with others (e.g., a search skill whose output feeds into an analysis skill)
- Skills maintained by their authors — not abandoned after initial commit
**What we don't accept:**
- Crypto/blockchain/DeFi skills (off-scope)
- Skills with no documentation
- Bulk-generated or spam skills
- Skills that require proprietary backends without free tiers
---
## Security Notice
> Skills can execute arbitrary code in your agent's environment. **Always review a skill's `SKILL.md` and any bundled scripts before installing.** The skills listed here are curated, not audited — they may be updated or modified by their original maintainers at any time.
---
## Roadmap
- [x] Phase 1 — Curated link collection with source taxonomy
- [ ] Phase 2 — Community skill registry with ratings and usage metrics
- [ ] Phase 3 — Test skill in OpenClaw and Claude Code
- [ ] Phase 4 — Develop skill creator which can create skill from paper and agentic trace
---
## Related Projects
Companion open-source tools from our team for skill generation and repository evaluation:
| Project | Description |
|---|---|
| [K-Dense-AI/claude-scientific-writer](https://github.com/K-Dense-AI/claude-scientific-writer) | Deep research + scientific writing tool with real-time literature search and verified citations |
| [K-Dense-AI/claude-skills-mcp](https://github.com/K-Dense-AI/claude-skills-mcp) | MCP server for vector-search-based skill retrieval |
| [qishisuren123/skiller](https://github.com/qishisuren123/skiller.git) | Skiller - an automated skill generation tool that turns conversation logs or plain-text requirements into standards-compliant skill packages in one shot; validated under a full static-evaluation rubric and improves by 57 percentage points over the no-skill baseline |
| [ddd9898/skill-metric](https://github.com/ddd9898/skill-metric) | A skills evaluation framework that screens high-quality skill repositories across three dimensions and provides structured metrics for skill quality assessment |
| [agentskills.io](https://agentskills.io) | The open Agent Skills specification |
---
## License
This curated list is released under [MIT](LICENSE). Individual skills retain their own licenses as specified in their respective `SKILL.md` files.
---
**If this saves you time in your research, give it a star and share it with your lab.**