Total 50,539 skills, AI & Machine Learning has 8483 skills
Showing 12 of 8483 skills
Guidance for building Caffe from source and training CIFAR-10 models. This skill applies when tasks involve compiling Caffe deep learning framework, configuring Makefile.config, preparing CIFAR-10 dataset, or training CNN models with Caffe solvers. Use for legacy ML framework installation, LMDB dataset preparation, and CPU-only deep learning training tasks.
Automate Flowiseai tasks via Rube MCP (Composio). Always search tools first for current schemas.
Activate when the user clearly has a skill issue. Generates chaotic, barely-functional code with maximum confidence and sarcastic commentary. Guarantees an infinite loop of attempted fixes that never quite land.
Build AI agents on Cloudflare Workers with MCP integration, tool use, and LLM providers.
Writing conventions for scannable, token-efficient skills and prompts. Use when creating or reviewing SKILL.md files, AGENTS.md files, or any markdown-based agent instruction documents.
Xiaohongshu Copy Optimization Agent System. Specialized in optimizing copy for eyewear products on Xiaohongshu, it supports reading content to be optimized and reference materials, and outputs high-conversion notes that comply with platform specifications. Usage scenarios: When users request to optimize Xiaohongshu eyewear copy, generate Xiaohongshu eyewear notes, or need to refer to platform hot words and writing specifications.
Use when editing ComfyUI workflow JSON, adding nodes, wiring connections, modifying workflows, adding ControlNet/LoRA/upscaling to a workflow, or submitting workflows to ComfyUI.
Debug problems by investigating multiple hypotheses in parallel. Use when you have a bug, unexpected behaviour, or mystery where the root cause is unclear. Spawns parallel investigator agents each pursuing a different theory, then compares evidence to identify the most likely cause and fix.
TasteRay API integration for personalized recommendations across verticals (movies, restaurants, products, travel, jobs). Use when you need to: (1) recommend movies, restaurants, products, travel, or jobs, (2) answer "what would I like" questions, (3) provide personalized recommendations based on preferences, (4) rank or score items for a user, (5) explain why something matches a user's taste, (6) build recommendation context from conversation, (7) integrate psychological profiles with recommendation systems.
You want to build something but you're not technical. This skill walks you through the entire process — from first conversation to a live URL — step by step.
Synchronize work between Antigravity and Claude Code agents
Market intelligence, competitive analysis, technical evaluations, and technology decisions. Use when researching companies, analyzing competitors, evaluating frameworks, or making tech stack decisions.