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Found 256 Skills
Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.
Guide for integrating Agentica SDK with Claude Code CLI proxy
Install the full development workflow into a Claude Code project: slash commands for breakdown, spec, work, commit, review, PR, security scanning, and issue triage; agents for architecture, implementation, quality review, and git management. Run this after the greenfield or brownfield skill has set up the project foundation. Trigger phrases: "/workflow", "install workflow", "set up commands", "set up agents", "install breakdown and work commands", "configure my workflow", "install the development workflow".
Command-line interface for Obsidian — Knowledge management and note-taking via Obsidian Local REST API. Designed for AI agents and power users who need to manage notes, search the vault, and execute commands without the GUI.
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, or tools, (2) Want to build AI agents, chatbots, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, etc.), streaming, tool calling, or structured output.
AI agents on the Teneo Protocol network for real-time data queries.
Expert guidance for Chrome DevTools MCP server - browser automation, debugging, and performance analysis for AI agents
Designs, builds, and deploys AI agents or multi-agent systems on Google Cloud. Provides an interactive workflow to gather requirements, recommend a tailored architecture, and generate deployment instructions. Use when designing or implementing agentic systems on Google Cloud. Don't use for general Google Cloud solution architecture (use google-cloud-solution-architecture instead) or for narrow tasks targeting a single product without agent context.
Create PydanticAI agents with type-safe dependencies, structured outputs, and proper configuration. Use when building AI agents, creating chat systems, or integrating LLMs with Pydantic validation.
macOS system resource optimization with 40 specialized agents for memory, disk, CPU, and process management
N coordinated agents on shared task list (compatibility facade over team)
Command-line interface for Ollama - Local LLM inference and model management via Ollama REST API. Designed for AI agents and power users who need to manage models, generate text, chat, and create embeddings without a GUI.