google-adk
Develop agentic software and multi-agent systems using Google ADK in Python
Найдите подходящую возможность для вашего агента.
Develop agentic software and multi-agent systems using Google ADK in Python
Best practices for creating Claude Code slash commands. Use this skill when creating, editing, or improving custom slash commands for Claude Code. Covers frontmatter configuration, dynamic features ($ARGUMENTS, bash execution, file references), command patterns (git workflows, multi-agent orchestration, code review), and helps decide when to use slash commands vs skills vs subagents.
Strategic AI council for product vision, creative direction, and long-term planning. Multiple perspectives from Strategist, Innovator, Futurist, and Synthesizer archetypes. Premium skill for decision-making.
Design, review, and improve agent workflows & agent using SSOT, SRP, Fail Fast principles. Supports Prompt Chaining, Parallelization, Orchestrator-Workers patterns.
Git-native session lifecycle management for software development. Use when starting/resuming coding sessions, creating checkpoints, tracking objectives and blockers, generating handoffs between sessions, or needing context preservation across work sessions. Provides intelligent onboarding for AI coding agents by loading comprehensive project context.
Spawn an AI coding agent in a new terminal (Claude, Codex, Gemini, Cursor, OpenCode, Copilot). Defaults to Claude Code if unspecified.
Guide for building high-quality Model Context Protocol (MCP) servers that allow LLMs to interact with external services. Use when creating new MCP integrations, tools, or servers for Claude or other AI systems.
Provide L1-L5 pedagogy layer reference for the AI-Native Robotics Textbook. Use when assigning layers to content, understanding layer requirements, or validating layer progression.
Expert prompt engineering and music generation with Suno AI v4/v4.5 for professional-quality songs across all genres with advanced composition techniques
Create new Claude Code skills with proper structure, documentation, and best practices. Use when building custom skills for specific domains, workflows, or organizational needs.
This skill should be used when the user asks to "create a skill", "write a skill", "edit a skill", "verify a skill", "test a skill with subagents", or needs guidance on TDD for documentation, skill structure, bulletproofing against rationalization, or Claude Search Optimization.
Performs accurate research and fact-checking using reliable sources. Ideal for validating claims, clarifying complex topics, summarizing findings, and ensuring information accuracy.
Check context usage limits, monitor time remaining, optimize token consumption, debug context failures. Use when asking about context percentage, rate limits, usage warnings, context optimization, agent architectures, memory systems.
Design learning experiences for AI-native software development, integrating the Three Roles Framework (AI as Teacher/Student/Co-Worker), co-learning partnership pedagogy, and "Specs Are the New Syntax" paradigm into programming curriculum. Use this skill when educators need to prepare students for professional AI-driven development workflows, teach effective specification-first collaboration, or balance AI assistance with foundational learning goals. This skill helps create lessons that leverage AI tools appropriately while ensuring students build independent capability, bidirectional learning patterns, and ethical AI use practices. Aligned with Constitution v4.0.1.
Use when AI agents frequently hit dead ends, when reliability is the main constraint on scaling utility, or when general model improvements don't solve specific blockers
Comprehensive guide for creating and optimizing Claude skills. Use when building new skills, updating existing ones, implementing workflows, or integrating specialized tools and domain expertise.
Delegate tasks to remote Claude Code agent containers for parallel execution, long-running analysis, or resource-intensive operations.