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Everything your AI needs, in one place.
Ready-made agents, skills, personas, prompts, templates and tools. Each one is checked before it goes live, works with any model, and installs in a click. Rate what you use so the best rises to the top.
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A service that does a whole job for you - research, coding, support - and reports back.
Step-by-step instructions an AI follows for one kind of task. Install once, reuse everywhere.
A voice and set of rules layered onto any model: tone, audience, do's and don'ts.
A ready-to-use prompt with fill-in-the-blank variables and notes on when it works best.
A complete routing setup - models, rules and settings - in one file you can apply in a minute.
A single function an AI can call: a calculator, a search, a database lookup.
A language model endpoint with its price, speed and quality declared so the router can compare it.
deterministic-design
Render the UI and prove it's balanced + usable: a deterministic layout audit (centroid / optical-center / pixel-oracle balance via explicit math + annotated screenshot) plus a vision-judged Nielsen us
groq-core-workflow-b
Use when you need Groq's non-chat endpoints — transcribing or translating audio with Whisper, understanding images with Llama 4 vision, generating speech (TTS), or benchmarking models for speed vs qua
ml-training-recipes
Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics. Covers training loops, optimizer selection (AdamW, M
deepstream-dev
NVIDIA DeepStream SDK development guidance for Python pyservicemaker pipelines, video analytics, TensorRT integration, and streaming inference workflows.
deepstream-import-vision-model
NVIDIA DeepStream model-import guidance for bringing vision models from Hugging Face or NVIDIA NGC into DeepStream pipelines with export, TensorRT build, and benchmark steps.
huggingface-vision-trainer
Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers class
multimodal-llm
Vision, audio, video generation, and multimodal LLM integration patterns. Use when processing images, transcribing audio, generating speech, generating AI video (Kling v3, Sora 2, Veo 3.1 std/lite/fas
vision
Analyze images, screenshots, diagrams, and visual content - Use when you need to understand visual content like screenshots, architecture diagrams, UI mockups, or error screenshots.
glm4v-analyze-image
智谱AI的视觉语言模型，用于图像分析、内容识别和视觉问答
clip-aware-embeddings
Semantic image-text matching with CLIP and alternatives. Use for image search, zero-shot classification, similarity matching. NOT for counting objects, fine-grained classification (celebrities, car mo
computer-vision-pipeline
Build production computer vision pipelines for object detection, tracking, and video analysis. Handles drone footage, wildlife monitoring, and real-time detection. Supports YOLO, Detectron2, TensorFlo
mlx-vlm
Run Vision Language Models locally on Apple Silicon Macs using MLX. Use when: installing mlx-vlm, running VLM inference (image + text → response), fine-tuning vision models on custom datasets, batch p
product-strategy
Expert guidance for product strategy, helping product leaders define product vision, craft positioning, analyze competitive landscapes, choose pricing models, and build outcome-driven roadmaps. Applie
detect_buildings
Detect buildings in a map area using on-device vision
tars-vision
Matrix-style AI face display for Raspberry Pi 5 that gives Hermes Agent a physical body. HuskyLens V2 camera over I2C for face, emotion, and gesture recognition. Animated Three.js holographic face on
bilibili-video-notes
从 B 站教育/讲课视频生成带截图的 DOCX 学习笔记。下载视频+字幕→全覆盖抽帧→OCR去重→AI视觉打分→提取图中内容→融合生成DOCX。
burner-phone
Universal Android device control with vision feedback. Supports Termux phones, ADB-only devices, and emulators. Use for phone automation, AI companionship, or mobile app testing.
vision-hopfield-memory-networks
Vision Hopfield Memory Network (V-HMN) - brain-inspired backbone with hierarchical Hopfield memory + predictive-coding refinement. Local patch memory + global episodic memory + error correction. Enhan
image-mining
I mine pixels for atoms. Reality is just compressed resources.
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Search or browse by kind. Every card shows who made it, how many people installed it and what they think.
Install
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
Rate and publish
Leave a star rating after you have used it. Made something useful? Publish it - free listings go live immediately.
Prefer the terminal? osr stack apply registry://starter installs the starter template.