claude-scientific-skills-desktop
🥈SilverA Claude Desktop extension (.mcpb) that delivers the claude-scientific-skills corpus via a tiny librarian tool surface. Built as a self-contained Bun binary (no Node/Python required for users). Offline fat bundle by default; optional thin/auto-update mode.
2100Updated 2mo ago
Intermediate30min to implementautomation
Saves ~20 min per use
Quick InstallView Source
git clone https://github.com/silverstein/claude-scientific-skills-desktop.gitWorks with:
Claude
Overview
About This Skill
Scientific Skills Desktop is a Claude Desktop extension (.mcpb) that provides access to a curated corpus of 128+ scientific skills spanning bioinformatics, cheminformatics, proteomics, clinical research, materials science, and physics. Built as a self-contained Bun binary, it requires no Node.js or Python installation and operates as an offline fat bundle by default, with optional thin/auto-update capability. The extension exposes three core tools—search_skills, read_skill, and list_skills—enabling researchers and developers to discover and access domain-specific knowledge across 26+ data sources including PubMed, ChEMBL, UniProt, and ClinicalTrials.gov. Just-in-time skill loading prevents prompt bloat while maintaining fast access to libraries like RDKit, Scanpy, DeepChem, and Qiskit. Ideal for computational biologists, chemists, and ML researchers who need instant access to vetted scientific methodologies without managing external dependencies.
How to Use
Download the scientific-skills-fat.mcpb file from Releases and install via Claude Desktop Settings > Extensions > Install Extension. Use search_skills to find relevant skills by query, read_skill to access full documentation, and optionally enable auto-update mode by setting the CORPUS_URL environment variable.
Use Cases
Search and retrieve bioinformatics workflows for protein analysis and genomic data processing
Discover cheminformatics methods for molecular modeling and drug screening
Access proteomics and clinical research protocols from PubMed and ClinicalTrials.gov
Query materials science and physics skills integrated with specialized libraries
Tags
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/silverstein/claude-scientific-skills-desktopRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Act as a scientific research assistant. I'm working on a project for [COMPANY] in the [INDUSTRY] sector. I need help analyzing [DATA] to [SPECIFIC GOAL]. Provide a step-by-step plan to achieve this, including any necessary tools or methods.
Example Output
# Scientific Research Assistance Plan ## Project Overview - **Company**: GreenTech Innovations - **Industry**: Renewable Energy - **Data**: Solar panel efficiency metrics over the past 5 years - **Goal**: Identify patterns and optimize panel placement for maximum efficiency ## Step-by-Step Plan 1. **Data Collection**: Gather all relevant solar panel efficiency data from GreenTech's database. 2. **Data Cleaning**: Remove any outliers or incomplete data points to ensure accuracy. 3. **Pattern Analysis**: Use statistical tools to identify trends and patterns in the data. 4. **Optimization Strategy**: Develop a strategy for panel placement based on the identified patterns. 5. **Implementation Plan**: Create a detailed plan for implementing the optimization strategy, including timelines and resource requirements. 6. **Monitoring and Evaluation**: Establish a system for monitoring the effectiveness of the new panel placement and making adjustments as needed.
Apply to these tools
Browse all tools
Default
Run revenue like an engineered system
Claude
AI assistant built for thoughtful, nuanced conversation
Microsoft Teams
Get more done every day with Microsoft Teams – powered by AI
GPT for work
Automate your spreadsheet tasks with AI power
Respell
Agentic AI Workflow platform
Notion
Connected workspace for docs, wikis, and projects
Compatible MCP servers
Browse all MCP servers
Find the right skills for your stack
Take a free 3-minute scan and get personalized AI skill recommendations.
Take free scan