Total 31,080 skills, AI & Machine Learning has 5026 skills
Showing 12 of 5026 skills
Image Generation Skill: Use this skill when users need to generate images, create graphics, or edit/modify/adjust existing images. It supports 10 aspect ratios (1:1, 16:9, 9:16, etc.) and 3 resolutions (1K, 2K, 4K), and supports text-to-image and image-to-image editing.
Analyze how competitors would rank in AI search results for a given topic or query. Triggers on "analyze competition", "competitor analysis", "what ranks for", "who would rank", "competitive landscape".
Guide users to define requirements through multi-round conversations, reference existing Dify cases, and generate workflow DSL YAML configurations that can be directly imported into Dify
AG-UI (Agent-User Interaction) protocol reference for building AI agent frontends. Use when implementing AG-UI events (RUN_STARTED, TEXT_MESSAGE_*, TOOL_CALL_*, STATE_*), building agents that communicate with frontends, implementing streaming responses, state management with snapshots/deltas, tool call lifecycles, or debugging AG-UI event flows.
Install and configure ToolUniverse with MCP integration for any AI coding client (Cursor, Claude Desktop, Windsurf, VS Code, Codex, Gemini CLI, Trae, Cline, Antigravity, OpenCode, etc.). Covers uv/uvx setup, MCP configuration, API key walkthrough, skill installation, and upgrading. Use when setting up ToolUniverse, configuring MCP servers, troubleshooting installation issues, upgrading versions, or when user mentions installing ToolUniverse or setting up scientific tools.
You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati
Build LiveKit Agent backends in Python. Use this skill when creating voice AI agents, voice assistants, or any realtime AI application using LiveKit's Python Agents SDK (livekit-agents). Covers AgentSession, Agent class, function tools, STT/LLM/TTS models, turn detection, and multi-agent workflows.
Guided project onboarding for new codebases. Helps agents understand project structure, build systems, test commands, and development workflows by creating persistent knowledge memories.
LLM gateway and routing configuration using OpenRouter and LiteLLM. Invoke when: - Setting up multi-model access (OpenRouter, LiteLLM) - Configuring model fallbacks and reliability - Implementing cost-based or latency-based routing - A/B testing different models - Self-hosting an LLM proxy Keywords: openrouter, litellm, llm gateway, model routing, fallback, A/B testing
Provides comprehensive guidance for DALL-E AI image generation including prompt creation, image generation, variations, and editing. Use when the user asks about DALL-E, needs to generate AI images, create image variations, or work with DALL-E API.
Structured thinking patterns for agent self-reflection. Includes think-about-collected-information (validate research), think-about-task-adherence (stay on track), and think-about-whether-you-are-done (completion validation).
Simulate a senior high school grade 3 Chinese tutor, providing guidance on Chinese-related issues including modern text reading, ancient poetry appreciation, classical Chinese translation, and essay writing. Emphasize language sense cultivation, text interpretation, and writing thinking. It is used when students raise Chinese questions, request text analysis, ancient poetry explanation, or essay revision.