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#python

This is a read-only list of community plugins for Claude Cowork and Claude Code. Each plugin was submitted through the official form, checked for security, and approved before being added. You can install them from the Claude plugins site or by adding the marketplace in Claude Code. The benefit is simple: you get a safe, approved place to find useful plugins without needing to sort through unverified ones.

https://github.com/anthropics/claude-plugins-community
#python

Marin is an open platform for building large language models, with tools for data cleaning, training, and testing. It saves every step so people can learn from both success and failure. You can use it to train small or very large models and follow clear guides to get started. The benefit is faster, more transparent model development, plus reusable code and examples that help you build your own AI projects more easily.

https://github.com/marin-community/marin
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#python

Microduck RL gives training environments for a small biped robot, so you can teach it walking, standing up, sitting, tricks, and roller tasks in simulation, then export the learned policy to run on the real robot. It includes realistic motor physics, backlash, and random changes to help sim-to-real transfer. The benefit to you is faster robot training, easier testing, and safer deployment because one shared setup lets different skills swap on the robot without changing the runtime.

https://github.com/pollen-robotics/microduck_rl
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#python #chinese #disclosure #obsidian #patent #skill

This tool helps you turn project files into clear patent drafts for invention, utility model, and design patents, and it can also explain patents in simple words. It can find patent points, make charts and Word files, build line drawings, organize patent notes, and help with search, policy updates, and office reply drafts. The benefit to you is faster patent work, clearer patent reading, and better support for writing, revising, and reusing patent knowledge.

https://github.com/handsomestWei/patent-disclosure-skill
#python #automation #bot #clarifai #instagram #python #script #selenium

This project is about using AI and Python tools to automate social media tasks like likes, comments, and followers. The main benefit for you is learning practical automation ideas, tools, and examples that can save time and help you build your own bots, but it also warns that heavy use can lead to bans.

https://github.com/InstaPy/InstaPy
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#python #bge #colbert #data_pipeline #deep_learning #embeddings #inference #inference_server #information_retrieval #llm #ml #mlops #natural_language_processing #nlp #python #reranking #retrieval #retrieval_augmented_generation #semantic_search #splade #vector_search

SIE is a self-hosted engine for AI agents that runs many open models from one cluster in your cloud. It can handle search, document cleanup, structured output, safety checks, and agent actions through one OpenAI-style API. This helps you use fewer services, keep control of your data, and make setup simpler and cheaper.

https://github.com/superlinked/sie
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#python #agent_skills #ai_writing #claude_code #codex #cursor #prompt_engineering #writing_tools

Humanizer rewrites AI-like text so it sounds more natural and human while keeping the meaning the same. It checks for common AI writing patterns, avoids inventing facts, can match your writing style, and leaves code, data, and links unchanged. The benefit to you is cleaner text that reads better and feels more real, with a preview of the rewrite and any remaining issues before you use it.

https://github.com/blader/humanizer
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#python

Miles is a fast, enterprise-ready tool for training large AI models after pretraining, with strong support for huge models, many GPUs, and both NVIDIA and AMD hardware. It helps you run training and rollout smoothly, update weights quickly, improve stability, and recover from failures without stopping the job. This can save time, reduce crashes, and make large AI training easier to manage.

https://github.com/radixark/miles
#python

This repo is a preserved archive of proof-of-concept security research and vulnerability writeups, with many folders copied from older repos and some added directly. The main benefit is that you can study real examples, compare fixes, and learn fuzzing and exploit research methods more easily. It also says the contents were checked for exact file matches, so the preserved PoCs should be reliable for review.

https://github.com/bikini/exploitarium