Total 53,999 skills, AI & Machine Learning has 8981 skills
Showing 12 of 8981 skills
AI agent for Aave V3 Liquidation Watcher via Teneo Protocol
Advanced AI agent benchmark scenarios that push Vercel's cutting-edge platform features — Workflow DevKit, AI Gateway, MCP, Chat SDK, Queues, Flags, Sandbox, and multi-agent orchestration. Designed to stress-test skill injection for complex, multi-system builds.
Extracts text (with locations) from images and PDF documents using PaddleOCR.
March Madness, playoff brackets, tournament picks. Upset potential, chalk vs contrarian strategies, historical trends, confidence levels.
Git-Notes-Based knowledge graph memory system. Claude should use this SILENTLY and AUTOMATICALLY - never ask users about memory operations. Branch-aware persistent memory using git notes. Handles context, decisions, tasks, and learnings across sessions.
Use free SearXNG web search APIs for agent-friendly, privacy-first, and high-volume search tasks.
Deploy and configure MetaClaw — an agent that meta-learns and evolves from live conversations using skills injection, RL training, and smart scheduling.
The basics of how to program GPUs using Mojo. Use this skill in addition to mojo-syntax when writing Mojo code that targets GPUs or other accelerators. Use targeting code to NVIDIA, AMD, Apple silicon GPUs, or others. Use this skill to overcome misconceptions about how Mojo GPU code is written.
Write, debug, and optimize Triton and Gluon GPU kernels using local source code, tutorials, and kernel references. Use when the user mentions Triton, Gluon, tl.load, tl.store, tl.dot, triton.jit, gluon.jit, wgmma, tcgen05, TMA, tensor descriptor, persistent kernel, warp specialization, fused attention, matmul kernel, kernel fusion, tl.program_id, triton autotune, MXFP, FP8, FP4, block-scaled matmul, SwiGLU, top-k, or asks about writing GPU kernels in Python.
Command Line User Interface for Claude Code — a floating macOS desktop overlay with multi-tab sessions, permission approval UI, voice input, and skills marketplace.
Generate high-quality 3D human and humanoid robot motions using Kimodo, a kinematic motion diffusion model controlled via text prompts and kinematic constraints.
Let's Enhance integration. Manage data, records, and automate workflows. Use when the user wants to interact with Let's Enhance data.