Total 50,673 skills, AI & Machine Learning has 8493 skills
Showing 12 of 8493 skills
Illustre automatiquement le journal d'une aventure BFRPG en générant des images pour les moments clés (combats, explorations, découvertes). Utilise la génération parallèle pour une performance optimale.
Build AI agents with Cloudflare Agents SDK on Workers + Durable Objects. Includes critical guidance on choosing between Agents SDK (infrastructure/state) vs AI SDK (simpler flows). Use when: deciding SDK choice, building WebSocket agents with state, RAG with Vectorize, MCP servers, multi-agent orchestration, or troubleshooting "Agent class must extend", "new_sqlite_classes", binding errors.
Generate AI images using ByteDance Seedream 4.5. Use when you need to: (1) create images from text descriptions, (2) transform images with style transfer, or (3) generate high-quality artistic or realistic images.
This skill should be used when the user has a completed implementation plan (plan.md) and is ready to execute the tasks defined therein. Actively uses Agent Teams or subagents to execute batches of independent tasks in parallel, following BDD/TDD principles.
Remote voice via VoiceMode Connect. Use when users want to add voice to Claude Code using their phone or web app, without local STT/TTS setup.
Provides guidance on choosing between Agent Teams and Sub-agents and executing complex plans with parallel coordination. Use when implementing complex features requiring multiple specialized teammates working in parallel.
Financial Hot Topic Selection Tool that obtains hot news through its built-in data crawling layer, and intelligently filters high-quality topics that can be associated with investment and financial management. Suitable for financial content creation scenarios that need to guide securities account opening and fund investment.
Review and analyze a skill against best practices for length, intent scope, and trigger patterns
Search and analyze AI coding assistant session history using Terraphim. Find past conversations, discover patterns, and learn from previous work. Supports Claude Code, Cursor, Aider, and other AI coding assistants.
Use when "RAG", "retrieval augmented generation", "LangChain", "LlamaIndex", "sentence transformers", "embeddings", "document QA", "chatbot with documents", "semantic search"
LLM integration patterns for function calling, streaming responses, local inference with Ollama, and fine-tuning customization. Use when implementing tool use, SSE streaming, local model deployment, LoRA/QLoRA fine-tuning, or multi-provider LLM APIs.
End-of-session reflection. Extracts memories, suggests updates to about-taylor.md and CLAUDE.md. Run before ending a long session or when context is getting full. Triggers on "debrief", "extract memories", "session summary".