Superfast AI decision making and intelligent processing of multi-modal data.
$ npx skills add aurelio-labs/semantic-routerAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
[CoRL 2024] VLM-Grounder: A VLM Agent for Zero-Shot 3D Visual Grounding
Superfast AI decision making and intelligent processing of multi-modal data.
$ npx skills add aurelio-labs/semantic-routerOpen-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
$ npx skills add open-compass/VLMEvalKitAI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IPTC) from images.
$ npx skills add wiltodelta/remove-ai-watermarksAI IDE for hardware development, support Arduino, MicroPython, ESP32, STM32, RP2040, Nrf5x...
$ npx skills add ailyProject/aily-blocklyThe Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
$ npx skills add ARM-software/ComputeLibrary3D Computer Vision Framework
$ npx skills add alicevision/AliceVisionRay is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
$ npx skills add ray-project/raySWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
$ npx skills add SWE-agent/SWE-agent🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
$ npx skills add camel-ai/camelResearch and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
$ npx skills add microsoft/RD-Agent🙌 OpenHands: AI-Driven Development
$ npx skills add OpenHands/OpenHandsMulti-Agent Harness for Production AI
$ npx skills add aden-hive/hiveUFO³: Weaving the Digital Agent Galaxy
$ npx skills add microsoft/UFOCreate agents that monitor and act on your behalf. Your agents are standing by!
$ npx skills add huginn/huginnOpen-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
$ npx skills add deepset-ai/haystackCourse to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
$ npx skills add mlabonne/llm-courseHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep VLM Grounder if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.