terminal-agents
High-Performance CLI AI Agents (Claude Code, Gemini CLI, Open Code).
Найдите подходящую возможность для вашего агента.
High-Performance CLI AI Agents (Claude Code, Gemini CLI, Open Code).
This skill should be used when the user asks to "create an MCP server", "build MCP tools", "add MCP resources", "create MCP prompts", "implement MCP protocol", "deploy MCP server", "create AI tools", "expose API as MCP", "build Claude tools", "create LLM tools", or mentions FastMCP, MCP server, Model Context Protocol, MCP tools, MCP resources, MCP prompts, or server composition.
Orchestrator agent for coordinating multiple AI agents in a persistent system
Build AI chat interfaces with custom backends, authentication, and context injection. Use when integrating chat UI with AI agents, adding auth to chat, injecting user/page context, or implementing httpOnly cookie proxies. Covers ChatKitServer, useChatKit, and MCP auth patterns. NOT when building simple chatbots without persistence or custom agent integration.
Master the art of creating effective AI agent personas for Jules. Learn how to design role-specific prompts that guide Jules to execute tasks with precision, following best practices, and maintaining project standards. Use when creating new Jules personas or improving existing ones.
Socratic questioning protocol + user communication. MANDATORY for complex requests, new features, or unclear requirements. Includes progress reporting and error handling.
AI telephone agent for outbound calls including sales, appointments, surveys, reminders, and data collection. Initiates calls with inline agent configuration (system_prompt, voice), monitors completion via polling, and retrieves transcripts. Use with Claude skill for structured data extraction from transcripts. Environment variable PHONIC_API_KEY must be set.
Three-stage Chain of Thought (CoT) analyzer for /deep-reasoning page. Performs comprehensive analysis in 3 stages Direct Impact → Secondary Effects → Final Conclusion for complex news articles. Optimized for depth over speed.
Global frontend aesthetics skill that helps Claude avoid generic "AI slop" UI and make bold, intentional visual decisions while still honoring each project's design-dna, tokens, and architecture.
Multi-agent systems with LangGraph - supervisor/swarm patterns, state coordination, multi-provider routing. Use when building multi-agent workflows, coordinating agents, or need cost-optimized orchestration. Uses Claude, DeepSeek, Gemini (no OpenAI).
Modern chat app with TanStack Router and Claude AI for Netlify.
Create distinctive, mobile-first Next.js interfaces with high design quality. Use when building pages, components, or layouts. Generates polished code that avoids generic AI aesthetics.
Apple Foundation Models framework for on-device AI, @Generable macro, guided generation, tool calling, and streaming. Use when user asks about on-device AI, Apple Intelligence, Foundation Models, @Generable, LLM, or local machine learning.
Build cost-optimized chat applications with Azure OpenAI Model Router that intelligently routes queries to the most appropriate model based on complexity, achieving up to 60% cost savings.
Deep research with sequential thinking and parallel agents
Filter and classify AI research content for relevance, topic, and author category. Use for bulk triage of raw content before detailed claim extraction.
Pattern d'intégration pour relier un graphe de domaine (structuré, issu d'un CSV) à un graphe lexical (extrait automatiquement de documents non-structurés via LLM). Utiliser cette skill lorsque Claude doit construire un Knowledge Graph hybride combinant données structurées et extraction automatique, notamment avec neo4j-graphrag et SimpleKGPipeline. Cas d'usage: GraphRAG, ingestion de PDFs avec métadonnées, construction de Knowledge Graphs à partir de sources hétérogènes.