Sadly not all of them Most of them are open source licensed but the document ones (PDF, docx, pptx, xlsx) have a license that says you can look but you cannot reuse https://
github.com/anthropics/ski
lls/blob/main/document-skills/pdf/LICENSE.txt
…
CODE
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Anthropic Skills Open Source Licensing Restrictions Explained
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watsonx.data Developer Edition: Desktop Data Lakehouse Solution
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A complete data lakehouse, now on your desktop. With watsonx․data developer edition, you get: ⚡️ Multi-engine support 🔐 Local data privacy 💡 Built-in path to production Start building here 👉 ibm.co/6013BzB0U
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AI Dev 25 NYC: Agentic Architecture and Production Systems
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The full agenda for AI Dev 25 x NYC is ready. Developers from Google, AWS, Vercel, Groq, Mistral AI, SAP, and other exciting companies will share what they've learned building production AI systems. Here's what we'll cover: Agentic Architecture: When orchestration frameworks
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Google AI Studio Ships New Annotate Modes for UI Editing
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Shipping continues for Google AI Studio 🚢
— Shubham Saboo (@Saboo_Shubham_) 23 octobre 2025
The new Annotate modes makes UI editing 10x easier and faster.
Vibe coding at its best. pic.twitter.com/ho6tm9QF6xShipping continues for Google AI Studio The new Annotate modes makes UI editing 10x easier and faster. Vibe coding at its best.
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Deploying Machine Learning Models on Arduino Microcontrollers
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From Blink to Think: Deploying ML on Arduino! At LearnOpenCV, we’ve always believed that AI shouldn’t be limited to powerful GPUs or cloud servers. It should run everywhere – even on the tiniest boards.
Our latest article of the edge devices series, explores exactly that idea. -
Neural Operators and TensorLy Ecosystem at PyTorch Conference
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It was wonderful to have @JeanKossaifi and David present the poster on Neural Operators and tensorly at @PyTorch yesterday. There is no ai+science without neural operators. Check out our rich ecosystem.
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GPU Optimization: CUDA Graphs for High-Frequency Processing
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You can always make a batch large enough that the GPU stays busier than the CPU, but if you want to do hundreds or thousands of steps a second, CUDA graphs are really helpful. You should never be rebuilding graphs — the trick is to make sure the one graph you build at startup
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PyTorch’s Unexpected Growth While Preserving Core Values
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. @PyTorch has snowballed into something never imagined, while still keeping our core values intact!
feels incredible.
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PyTorch Framework Continues Growth While Maintaining Core Values
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. @PyTorch has snowballed into something never imagined, while still keeping our core values intact!
feels incredible.
-with @ezyang and @apaszke -
Datalab’s State-of-the-Art Text Extraction Models Now Available
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Datalab's models are state-of-the-art for text extraction, and are based on the popular open-source Marker and Surya projects. They're fast and cost between $2-$6 per 1000 pages.