Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
This skill should be used when configuring or using the OpenCode CLI for headless LLM automation. Use when the user asks to "configure opencode", "use opencode cli", "set up opencode", "opencode run command", "opencode model selection", "opencode providers", "opencode vertex ai", "opencode mcp servers", "opencode ollama", "opencode local models", "opencode deepseek", "opencode kimi", "opencode mistral", "fallback cli tool", or "headless llm cli". Covers command syntax, provider configuration, Vertex AI setup, MCP servers, local models, cloud providers, and subprocess integration patterns.
Bi-directional synchronization between RealGeeks CRM and conversational AI systems. Use when implementing webhook handlers, creating sync pipelines, handling lead deduplication, mapping activity data, or building real-time CRM integration workflows. Includes webhook security, retry logic, and data transformation patterns.
Design framework-agnostic AI agents using Oracle's Open Agent Specification for portable, interoperable agentic systems with JSON/YAML definitions
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts. | モダンなフロントエンドWeb技術（React、Tailwind CSS、shadcn/ui）を使用して、精巧なマルチコンポーネントclaude.ai HTMLアーティファクトを作成するツール群。状態管理、ルーティング、shadcn/uiコンポーネントが必要な複雑なアーティファクトに使用 - シンプルな単一ファイルHTML/JSXアーティファクトには不向き
Create complete Claude Code agents for the Traycer enforcement framework. This skill should be used when creating new agents or updating existing agents. Creates all agent components including system prompt, hooks, skills, commands, scripts, and reference docs. Also updates coordination documents that list available agents. Based on Anthropic's official agent development best practices.
AI agent development with LangChain, CrewAI, AutoGen, and tool integration patterns.
Protocol for discovering and coordinating with other AI agents in a federated communication channel
Phase execution protocol to prevent context drift during long development sessions. MUST be read at the start of each phase and referenced in the last TODO of each phase. This ensures AI maintains context across phases.
Converts text to speech audio using OpenAI TTS API. Use when users request audio versions of text or want responses read aloud.
RAN automation engineering with workflow creation, cognitive consciousness, and autonomous orchestration for intelligent network automation. Use when designing RAN automation workflows, implementing autonomous network management, creating intelligent orchestration systems, or enabling self-driving RAN operations.
PROACTIVE: This skill SHOULD BE USED AUTOMATICALLY when writing prompts, system prompts, crafting instructions for LLMs, or optimizing AI interactions. Triggers on: write prompt, system prompt, prompt engineering, optimize prompt, better prompt, prompt template, instruction design, context engineering, SKILL.md description, agent instructions. Use for CRAFTING LLM PROMPTS. Model-agnostic best practices for coding agents.
Create and manage isolated container sandboxes for AI agent code execution. Use when you need ephemeral environments to run untrusted code, execute agent workflows, or test in isolation. NOT for debugging existing apps (use troubleshooting skill).
Expert knowledge about xling CLI tool for managing AI tools (Claude Code, Codex, Gemini) and executing AI prompts with multi-provider support. Use when user asks about xling commands, configuration, or workflows.
AI and machine learning development with PyTorch, TensorFlow, and LLM integration. Use when building ML models, training pipelines, fine-tuning LLMs, or implementing AI features.
Build and maintain AI-accessible knowledge bases for projects
Generate complete, production-ready MCP (Model Context Protocol) servers with automatic setup, configuration, and Claude Code integration
Develop apps/openai-serve (Go). Keep OpenAI gateway behavior correct and avoid logging prompts/outputs.
