Other-sources
🥈SilverThe Other-sources AI agent compiles a comprehensive collection of academic and industry references related to artificial intelligence, robotics, and cognitive science. It serves as a valuable resource for researchers and professionals seeking insights into the evolution and applications of AI technologies.
4170Updated 2mo ago
Intermediate30 minutes to implementresearch
Saves ~40 min per use
Quick InstallView Source
claude install Aryia-Behroziuan/Other-sourcesWorks with:
ChatGPT
Overview
About This Skill
Other-sources compiles a comprehensive bibliography of peer-reviewed papers, books, and industry sources spanning artificial intelligence, robotics, and cognitive science. The skill aggregates key research across topics including cognitive developmental robotics, artificial general intelligence, neural networks, and machine learning architectures. It provides access to foundational works and contemporary research from leading scholars and institutions, helping researchers quickly identify relevant academic literature and build evidence-based knowledge in AI and related fields.
Use Cases
Academic research
Literature review
Reference compilation
AI technology analysis
Best For
Research
Tags
Setup & Installation
Quick Install
Terminal
claude install Aryia-Behroziuan/Other-sourcesAlternative Install (Git Clone)
git clone https://github.com/Aryia-Behroziuan/Other-sourcesRequirements
- Claude Code or compatible AI agent
- Works with: ChatGPT
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
Compile a comprehensive list of academic and industry references on [TOPIC] in the field of [INDUSTRY]. Include at least 10 sources, with a mix of recent and foundational works. Focus on [COMPANY]'s contributions if applicable.
Example Output
# References on AI in Healthcare ## Academic Sources 1. **LeCun, Y., Bengio, Y., & Hinton, G.** (2015). *Deep learning*. Nature, 521(7553), 436-444. 2. **Russell, S., & Norvig, P.** (2020). *Artificial Intelligence: A Modern Approach* (4th ed.). Pearson. 3. **Goodfellow, I., Bengio, Y., & Courville, A.** (2016). *Deep Learning*. MIT Press. ## Industry Reports 1. **Stanford AI Index Report** (2023). *Stanford University*. 2. **AI in Healthcare: Transforming the Patient Experience** (2022). *McKinsey & Company*. 3. **The Future of AI in Medicine** (2023). *Harvard Business Review*. ## Foundational Works 1. **Turing, A. M.** (1950). *Computing Machinery and Intelligence*. Mind, 59(236), 433-460. 2. **Minsky, M.** (1961). *Steps Toward Artificial Intelligence*. Proceedings of the IRE, 49(1), 8-30. 3. **Rosenblatt, F.** (1958). *The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain*. Psychological Review, 65(6), 386-408. ## Company-Specific Contributions 1. **DeepMind Health** (2023). *Advancements in AI for Medical Diagnostics*. 2. **IBM Watson Health** (2022). *AI Applications in Personalized Medicine*.
Apply to these tools
Browse all toolsVerne Robotics
Train industrial robots to learn new tasks faster
Forge Robotics
AI-powered robotics for metal fabrication and welding
Azalea Robotics Corporation
Automate airport baggage handling with robots
Domu Technology Inc.
AI agents for automated collections
Auro Robotics
Operate autonomous shuttles in campus environments
Vassar Robotics
Open-source semi-humanoid development kit
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