Total 58,115 skills, AI & Machine Learning has 9659 skills
Showing 12 of 9659 skills
Advanced RAG with Self-RAG, Corrective-RAG, and knowledge graphs. Use when building agentic RAG pipelines, adaptive retrieval, or query rewriting.
Enables Claude to read, compose, search, and manage emails in Gmail via Playwright MCP
CUDA kernel development, debugging, and performance optimization for Claude Code. Use when writing, debugging, or optimizing CUDA code, GPU kernels, or parallel algorithms. Covers non-interactive profiling with nsys/ncu, debugging with cuda-gdb/compute-sanitizer, binary inspection with cuobjdump, and performance analysis workflows. Triggers on CUDA, GPU programming, kernel optimization, nsys, ncu, cuda-gdb, compute-sanitizer, PTX, GPU profiling, parallel performance.
Spawn a Team Leader agent that manages multiple sub-agents working toward a common goal. Team Leader reads requirements, decomposes work, assigns personalities and tasks, manages communication between team members, tracks progress, and reports results following ogt-docs task workflow. Integrates fully with docs-first system via task signals and status tracking.
Expert guidance for researching, documenting, and integrating Model Context Protocol (MCP) servers and tools. Covers MCP architecture, server/client implementation patterns, tool discovery, integration workflows, security best practices, and multi-language SDK usage (Python, TypeScript, C#, Java, Rust). Enables seamless integration of MCP tools into Claude Code and AI applications.
Creates, modifies, and manages Claude Code subagents by writing agent files with YAML frontmatter, system prompts, and tool configurations. Use when you need to "create an agent", "modify an agent", "set up a specialist", "I need an agent for [task]", "agent to handle [domain]", or "configure agent tools". Covers agent file format, YAML frontmatter, system prompts, tool restrictions, MCP integration, model selection, and testing.
Finalize prompt file using the role of an AI agent to polish the prompt for the end user.
Create Trae IDE rules (.trae/rules/*.md) for AI behavior constraints. Use when user wants to: create a project rule, set up code style guidelines, enforce naming conventions, make AI always do X, customize AI behavior for specific files, configure AI coding standards, or establish project-specific AI guidelines. Triggers on: 'create rule', '创建 rule', 'project rule', '.trae/rules/', 'AGENTS.md', 'CLAUDE.md', 'set up coding rules', 'make AI always use PascalCase', 'enforce naming convention', 'configure AI behavior'. Do NOT use for skills (use trae-skill-writer) or agents (use trae-agent-writer).
Create or scaffold a new skill in a repository with valid metadata, clear activation cues, standard resource folders, safety boundaries, and validation evidence.
HTML-native design skill for AI coding agents — high-fidelity prototypes, slides, animations, and MP4 export with 20 design philosophies and 5-dimension critique
Memoro platform help — German GDPR-first AI meeting assistant with local device recording, customizable Blueprints, and searchable Memories. Use when setting up Memoro for a team, choosing between Memoro plans (Free/Plus/Pro/Ultra), Memoro transcription quality is poor or wrong language detected, Memoro Blueprints not producing the right output format, Memoro recordings not syncing across devices, comparing Memoro vs Jamie or Granola for bot-free EU-hosted recording, or evaluating GDPR-compliant meeting note-takers hosted in Germany. Do NOT use for reviewing a specific call for coaching (use /sales-call-review) or comparing note-takers broadly (use /sales-note-taker).
Professional Specifications for Storyboard Decomposition