Speaking of skills, here's some that are based on human-made frameworks. Turn Claude into 20+ different specialists for marketing & business. Install real expertise, not just prompts. Get my Claude skills bundle
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Spatial-Agent: AI grounded in spatial science for geospatial tasks
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Why do AI agents still struggle with real geospatial tasks like urban planning or disaster response? Researchers from Emory, Rutgers, and UT Austin introduce Spatial-Agent—a new AI that grounds reasoning in spatial science theory instead of web search or pattern matching. It
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Building a 4-agent software team managed from Telegram and Kanban
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i just built a 4-agent software team.
— Akshay 🚀 (@akshay_pachaar) 6 juin 2026
everything runs from Telegram and gets managed on a kanban board.
a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right… https://t.co/zjXOHytKHC pic.twitter.com/k3vScpYgV8i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right
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Aymeric Rouche: AI as a Tutor, Using Claude Code for Clear HTML Explanations
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AI-as-a-tutor:
– Use Claude Code
– Have it generate explanations in HTML to claritymaxx -
Automate AI Agent Development Lifecycle with Antigravity 2.0
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Automate your Agent Development Life Cycle using Antigravity 2.0 and Gemini Enterprise Agent Platform.
— Shubham Saboo (@Saboo_Shubham_) 6 juin 2026
Build, Evaluate and Deploy AI Agents without even leaving Antigravity.
This is the WAY. https://t.co/V8hU0dygxC pic.twitter.com/xARU2aezlyAutomate your Agent Development Life Cycle using Antigravity 2.0 and Gemini Enterprise Agent Platform. Build, Evaluate and Deploy AI Agents without even leaving Antigravity. This is the WAY.
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Kernels Are the Actual Work in Model Inference
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You don’t “run a model”
You run Kernels The model is just a graph The Inference Engine is scheduler / optimizer / executor But the actual work? That happens in the Kernels – MatMul Kernels
– Attention Kernels
– RMSNorm Kernels
– KV cache Kernels
– Quantized linear Kernels
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Create a complete PowerPoint presentation in 2 minutes with Claude
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PowerPoint is dying. Now with Claude you can create a complete presentation in 2 minutes. You just have to use these prompts: Save them because you're going to need them
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ActiveGraph coding agent always provides trace and graph
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and here's what a coding agent on activegraph looks like basically you always get a trace and a graph automatically
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ActiveGraph deep research agent gives full trace of claims and sources
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here's an activegraph based deep research agent that gives you full graph/trace of claims, sources, agent activity…