AgentSkills

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AgentSkills

AgentSkills

@CodeTrendr

Tech enthusiast tracking the cutting edge of AI, robotics, Python open source, Gaussian splatting, and medical imaging.

加入时间 Nisan 2009
54 关注244 粉丝
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Hasan Toor
Hasan Toor@hasantoxr·
🚨BREAKING: Someone just solved Claude Code's biggest problem. It's called Claude-Mem and it gives Claude persistent memory across sessions. - You can use up to 95% fewer tokens each time. - Make 20 times more tool calls before reaching limits. 100% Opensource.
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Google Gemini
Google Gemini@GeminiApp·
Introducing Agentic Vision, a new capability in Gemini 3 Flash. Agentic Vision makes Gemini even better at analyzing complex images, enabling it to more accurately and consistently read fine details, like serial numbers or text on a complex diagram. See what it can do. 🧵
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ollama
ollama@ollama·
🎉🎉🎉 Kimi K2.5 is on Ollama's cloud ollama run kimi-k2.5:cloud You can connect it to Claude Code, Codex, OpenCode, Clawdbot, and Droid via ollama launch! ollama launch claude --model kimi-k2.5:cloud
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Kimi.ai@Kimi_Moonshot

🥝 Meet Kimi K2.5, Open-Source Visual Agentic Intelligence. 🔹 Global SOTA on Agentic Benchmarks: HLE full set (50.2%), BrowseComp (74.9%) 🔹 Open-source SOTA on Vision and Coding: MMMU Pro (78.5%), VideoMMMU (86.6%), SWE-bench Verified (76.8%) 🔹 Code with Taste: turn chats, images & videos into aesthetic websites with expressive motion. 🔹 Agent Swarm (Beta): self-directed agents working in parallel, at scale. Up to 100 sub-agents, 1,500 tool calls, 4.5× faster compared with single-agent setup. - 🥝 K2.5 is now live on kimi.com in chat mode and agent mode. 🥝 K2.5 Agent Swarm in beta for high-tier users. 🥝 For production-grade coding, you can pair K2.5 with Kimi Code: kimi.com/code - 🔗 API: platform.moonshot.ai 🔗 Tech blog: kimi.com/blogs/kimi-k2-… 🔗 Weights & code: huggingface.co/moonshotai/Kim…

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sasaki@engineer
sasaki@engineer@rsasaki0109·
CuMesh: High-Performance Geometry Processing for PyTorch Cuda mesh utils. github.com/JeffreyXiang/C… CuMesh is a GPU-accelerated library designed for high-performance 3D geometry processing directly within the PyTorch ecosystem. It provides efficient primitives for mesh cleaning, decimation, remeshing, and UV unwrapping. Key features include: ・CUDA-Accelerated Mesh Operations: Fast topology queries, simplification, hole filling, and cleaning. ・Remeshing: Remesh arbitrary meshes using narrow-band UDF and Dual Contouring. ・UV Unwrapping: Efficient UV parameterization with xatlas enhenced by a fast mesh clustering on the GPU.
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NVIDIA AI Developer
NVIDIA AI Developer@NVIDIAAIDev·
🏗️ Most 3D reconstruction papers evaluate novel views by applying an optimal color correction using the ground-truth image. That's circular and unrealistic. PPISP directly predicts camera parameters from the rendered radiance alone, using an ISP controller trained on input views. ✨Result: metrics that don't require access to target images, aligning evaluation with real-world deployment. ➡️ github.com/nerfstudio-pro…
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Hyper3D by Deemos
Hyper3D by Deemos@DeemosTech·
💥🍌3D Nano Banana just dropped! ✨We just launched #Rodin Gen-2 "Edit", upload ANY model and edit like magic: 1️⃣ Smart Low-poly → artist-style topology 2️⃣ Local edits via prompt (Beta) 3️⃣ BANG to Parts 4️⃣+ more #Hyper3D is now the FIRST true #3D GenAI editing platform! 🚀
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Akshay 🚀
Akshay 🚀@akshay_pachaar·
Big moment for Postgres! Search has always been Postgres' weak spot, and everyone just accepted it. If you needed a real relevance-ranked keyword search, the default answer was to spin up Elasticsearch or add Algolia and deal with the data sync headaches forever. The problem isn't that Postgres can't do text search. It can. But the built-in `ts_rank` function uses a basic term frequency algorithm that doesn't come close to what modern search engines deliver. So teams end up: - Running a separate Elasticsearch cluster just for search - Building sync pipelines that inevitably drift out of consistency - Paying for managed search services that charge per query - Accepting mediocre search relevance because "good enough" ships faster But this is actually a solvable problem. You can realistically bring industry-standard search ranking directly into Postgres, which eliminates the need for external infra entirely. This exact solution is now available with the newly open-sourced pg_textsearch by @TigerDatabase, a Postgres extension that brings true BM25 relevance ranking into the database. BM25 is the algorithm behind Elasticsearch, Lucene, and most modern search engines. Now it runs natively in Postgres. Here's what pg_textsearch enables: - True BM25 ranking with configurable parameters (the same algorithm powering production search systems) - Simple SQL syntax: `ORDER BY content <@> 'search terms'` - Works with Postgres text search configurations for multiple languages - Pairs naturally with pgvector for hybrid keyword + semantic search That last point matters a lot for RAG apps. The video below shows this in action, and I worked with the team to put this together. You can now do hybrid retrieval (combining keyword matching with vector similarity) in a single database, without stitching together multiple systems. The syntax is clean enough that you can add relevance-ranked search to existing queries in minutes. pg_textsearch is fully open-source under the PostgreSQL license. You can find a link to their GitHub repo in the next tweet.
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ERNIE for Developers
ERNIE for Developers@ErnieforDevs·
🚀 ERNIE 5.0 is officially live! Supporting text, image, audio, and video inputs & outputs, ERNIE 5.0 ranks in the top tier across multiple authoritative benchmarks. ✅ 2.4T total parameters ✅ Stronger language & multimodal understanding ✅ Image & video generation on par with specialized domain models 👉Try it now: Chat: ernie.baidu.com Playground: aistudio.baidu.com API: #ERNIE-5.0-Thinking-Preview" target="_blank" rel="nofollow noopener">console.bce.baidu.com/qianfan/modelc…
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Tom Krcha
Tom Krcha@tomkrcha·
Excited to launch Pencil INFINITE DESIGN CANVAS for Claude Code > Superfast WebGL canvas, fully editable, running parallel design agents > Runs locally with Claude Code → turn designs into code > Design files live in your git repo → Open json-based .pen format
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Stitch by Google
Stitch by Google@stitchbygoogle·
Developer Week Day 2. 🛠️ We just gave your Coding Agent a Design Degree🎓🎨 Introducing the Stitch MCP Server. 🔌 You can now pipe Stitch designs directly into your favorite tools like Antigravity. * Generate new screens without leaving your IDE * Fetch the code from any design * Inject context: Give your agent full visual awareness Docs and more information 👇
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World Labs
World Labs@theworldlabs·
The World API is live. Generate persistent, explorable 3D worlds from text, images, and video. Integrate them directly into your products.
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Unity for Games
Unity for Games@unitygames·
The @Walmart Immersive Commerce SDK is now available! Bring real-world products into gameplay by integrating Walmart items or your own marketplace merchandise directly into your experience without breaking immersion. Start building today: on.unity.com/Walmart
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MeshyAI
MeshyAI@MeshyAI·
Image to 3D, now in ANY pose! 🤸‍♂️ Simply upload your image + a pose reference photo. Meshy generates the model to match it perfectly. No complex rigging needed. Create 3D characters your way.
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Charly Wargnier
Charly Wargnier@DataChaz·
NVIDIA just removed one of the biggest friction points in Voice AI. PersonaPlex-7B is an open-source, full-duplex conversational model. Free, open source (MIT), with open model weights on @huggingface 🤗 Links to repo and weights in 🧵↓ The traditional ASR → LLM → TTS pipeline forces rigid turn-taking. It’s efficient, but it never feels natural. PersonaPlex-7B changes that. This @nvidia model can listen and speak at the same time. It runs directly on continuous audio tokens with a dual-stream transformer, generating text and audio in parallel instead of passing control between components. That unlocks: → instant back-channel responses → interruptions that feel human → real conversational rhythm Persona control is fully zero-shot! If you’re building low-latency assistants or support agents, this is a big step forward 🔥
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Said Taghadouini
Said Taghadouini@staghado·
🚀 LightOnOCR-2-1B 🦉 is out, a major update to LightOnOCR. 1B parameters, end-to-end multilingual OCR, and it beats models 9× larger on OlmOCR-Bench while being much faster. PDF/page in, clean ordered Markdown out, with optional image localization (bbox variants).
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Yawar Siddiqui
Yawar Siddiqui@yawarnihal·
Introducing ShapeR, a method for robust conditional 3D shape generation from casually captured sequences. ShapeR leverages a rectified flow transformer conditioned on per-object multimodal data to turn casual image sequences into full metric scene reconstructions. Project Page: facebookresearch.github.io/ShapeR Paper: arxiv.org/abs/2601.11514 Links to code and huggingface below ⬇️
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AgentSkills
AgentSkills@CodeTrendr·
@averycode Even though we don’t know each other, I send you my best wishes for your brave decision.
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Avery
Avery@averycode·
I finally quit my 9-5 job After 10 years working across many different roles I’m taking a bet on myself, to build a software studio and create products that feel meaningful All in - let’s see how far we can go
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Gary Cann
Gary Cann@GaryCann10·
@magicleap @FIIKSA @Google I hope they are not stupid Ai glasses. Im hoping for the full magic leap 3d interactive , occlusion, segment dimming experience. With clear lens and a bigger fov..
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Magic Leap
Magic Leap@magicleap·
Magic Leap is partnering with technology leaders to accelerate their AR glasses roadmap through deep expertise and technologies that deliver visuals that are stable, crisp, and clear. This week at @FIIKSA , @magicleap and @Google are unveiling an AR glasses prototype built as a reference design for the Android XR ecosystem. magicleap.com/newsroom/magic… #AugmentedReality
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