আপনার এজেন্টের জন্য উপযুক্ত সক্ষমতা খুঁজে নিন।
Amazon Bedrock AgentCore deployment patterns for production AI agents. Covers starter toolkit, direct code deploy, container deploy, CI/CD pipelines, and infrastructure as code. Use when deploying agents to production, setting up CI/CD, or managing agent infrastructure.
This skill should be used for autonomous work on complex tasks with ZERO context required. Triggers include "start a loop", "work autonomously", "before I sleep", "take this and run with it", or when claude detects a task requiring sustained focus. Self-bootstraps project type, trajectory, and standards. No hard dependencies.
Use when working with trait extraction, place enrichment, or the learning loop. Load for understanding how the system learns from gameplay, how traits are extracted from Nominatim + player sessions, async queue processing, and LLM prompt configuration. Covers update_place_traits, pgmq, and edge function flow.
Document Q&A with RAG using Supabase pgvector store.
Build enterprise RAG solutions using Foundry IQ with Azure AI Search agentic retrieval. Use when implementing policy assistants, knowledge bases with citations, or multi-hop question answering systems.
Design AI-powered immersive NPC systems for escape room games using proven actor techniques from Korean immersive escape rooms (Danpyeonsun, Ledasquare). Implements adaptive dialogue, emotional simulation, player profiling, and trust dynamics using Gemini/GPT-4. Creates character profiles with lying probabilities, improvisational responses, and cost-optimized streaming. Use for murder mystery NPCs, suspect interrogation, or dynamic character interactions.
AI-powered development tools configuration and usage
Use when designing multi-agent systems, implementing supervisor patterns, coordinating multiple agents, or asking about "multi-agent", "supervisor pattern", "swarm", "agent handoffs", "orchestration", "parallel agents"
Work on novel-specific features including plot engines, character development, world-building, timeline management, and GOAP-based story generation. Use when implementing narrative systems, character arcs, or story planning tools.
This skill should be used when the user asks about "AI development", "AI coding", "AI assistant", "CLAUDE.md", "AI context", "AI guidelines", "code generation", "AI workflow", "AI review", "AI configuration", or needs guidance on configuring AI assistants and AI-assisted development workflows.
AI and technology ethics review including ethical impact assessment, stakeholder analysis, and responsible innovation frameworks
This skill should be used when the user asks about "Workers AI", "AI models", "text generation", "embeddings", "semantic search", "RAG", "Retrieval Augmented Generation", "AI inference", "LLaMA", "Llama", "bge embeddings", "@cf/ models", "AI Gateway", or discusses implementing AI features, choosing AI models, generating embeddings, or building RAG systems on Cloudflare Workers.
Railway Docker cache troubleshooting for Dr. Sophia AI deployments. Covers cache detection, force rebuild methods, version verification, deployment validation. Use when Railway shows old code after deployment, deployments not updating, Docker cache issues, or version mismatches between local and deployed code.
This skill should be used when setting up OpenAI ChatKit in Next.js, adding domain allowlist to environment, building chat UI component, integrating with /api/chat endpoint, displaying history and tool calls visually, and integrating Better Auth session.
Panduan dan referensi skema untuk membangun AI Agent yang stateful dan cerdas, berdasarkan best practice LangGraph.
Complete game asset design, creation, implementation, and optimization team. Use when creating visual assets, art direction, sprites, UI elements, icons, textures, animations specs, audio design, or any game visuals. Covers AI image generation (Gemini), asset pipelines, optimization for web/mobile, style guides, and performance tuning. Triggers on requests for game art, icons, backgrounds, character designs, UI assets, promotional materials, or asset troubleshooting.
Configure and switch between LLM providers (OpenAI, Anthropic, Azure, Ollama). Use when managing AI model providers.
