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K-Dense-AI scientific-agent-skills: A set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing

AI coding assistants can speed up the boring parts of the job. While specific details are limited based on available information, it could potentially be argued that these tools might have some positive effect. AI-assisted coding serves as an enduring testament to the transformative potential of large language models, marking a pivotal moment in the evolution of software development.

Python Requirements

⭐ Star this repo if you find it useful! This project is licensed under the MIT License. We share tips, troubleshoot issues together, showcase cool projects, and discuss the latest developments in AI-powered scientific research. If the issue persists, file an issue on GitHub with detailed reproduction steps.

  • However, each individual skill has its own license specified in the license metadata field within its SKILL.md file—be sure to review and comply with those terms.
  • A skill for Claude Code and OpenCode that removes signs of AI-generated writing from text, making it sound more natural and human.
  • This repository contains 134 scientific and research skills organized across multiple domains.
  • One repo, eleven platforms.
  • This repo is not trying to preserve every detail that may exist in a real production system.

Test the maximum length of the claude output

A malicious or poorly written skill has the potential to steer your coding agent into harmful behavior. Skills can execute code and influence your coding agent’s 1xbet download behavior. Same skills, broader compatibility — now works with any AI agent that supports the open Agent Skills standard, not just Claude. To get started, simply clone this repository and use the prompts in the README.md file as input for Claude.

Scientific Agent Skills

How do I install Claude Code plugins? See orchestration/ORCHESTRATION.md for the full protocol and examples. All 305 Python tools run anywhere Python runs. One repo, eleven platforms. Have a new skill to suggest?

Dedicated skills cover specialized data platforms. The skills use uv as the package manager for installing Python dependencies. Projects like Biopython, Scanpy, RDKit, scikit-learn, PyTorch Lightning, and many others form the foundation of these skills. It is ultimately your responsibility to review the skills you install and decide which ones to trust. All contributions go through a review process, and we run LLM-based security scans (via Cisco AI Defense Skill Scanner) on every skill in this repository.

If you can answer those questions clearly and build a similar system yourself, this repo has done its job. If a detail is not central to the agent’s core operating model, it should not dominate the teaching line. This repo is not trying to preserve every detail that may exist in a real production system. Each skill is a folder with a SKILL.md (frontmatter + instructions), optional scripts/, references/, and assets/.

233 production-ready Claude Code skills, plugins, and agent skills for 11 AI coding tools. This automatically installs to your .agents/skills/ directory (and symlinks into .claude/skills/ for Claude Code compatibility). Each skill provides comprehensive documentation, code examples, and best practices for working with scientific libraries, databases, and tools. These skills enable your AI agent to seamlessly work with specialized scientific libraries, databases, and tools across multiple scientific domains.

In this repository, you will find a variety of prompts that can be used with Claude. Welcome to the “Awesome Claude Prompts” repository! Includes TypeScript codebase for LLM tool-calling, agentic workflows, and terminal UI. 🚀 Open source Claude Code CLI source code.