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Found 1,268 Skills
Map of every agentmemory MCP tool, what each does, and its parameters. Use when choosing which memory tool to call, when a tool name or argument is unclear, or when answering what agentmemory can do via MCP.
Install vigiles and test a Claude Code harness — hooks, skills, settings, CLAUDE.md — by picking the right tier (unit / deterministic / eval) and writing a test that passes. Use when the user wants to check that a hook fires or blocks, that a skill triggers, that injected context lands, or that a harness change moves what the agent does.
agentOS: Agent execution, filesystems, and orchestration.
AWS Bedrock AgentCore comprehensive expert for deploying and managing all AgentCore services. Use when working with Gateway, Runtime, Memory, Identity, or any AgentCore component. Covers MCP target deployment, credential management, schema optimization, runtime configuration, memory management, and identity services.
Install and configure the Workflow Development Kit for resumable, durable AI agent workflows with step-level persistence, stream resumption, and agent orchestration.
Project setup wizard for AI agents. Use when user requests setup or when .agents/CONTEXT.md is missing or incomplete and setup recovery is needed. Generates .agents/CONTEXT.md with stack, structure, coding rules, and skill mapping.
Interactive onboarding for new AgentOps users. Guided RPI cycle on your actual codebase in under 10 minutes. Triggers: "quickstart", "get started", "onboarding", "how do I start".
Retrieve real-time or historical cash flow statement data including Net Income, Operating Cash Flow, Investing Cash Flow, Financing Cash Flow, Free Cash Flow, and Cash Position for public companies. Use when analyzing cash generation, capital allocation, or liquidity trends.
Rent cars, manage Gold Plus Rewards, and access Hertz premium services
Fork terminal sessions to spawn parallel AI agents or CLI commands in new terminal windows. Supports git worktrees for isolated parallel development.
Converts a Refound/Lenny Skill into a high-density, agent-executable Skill Pack (Agent Skills standard). Output must be in English.
调用扣子(Coze)智能体 API 进行对话、工作流执行等操作。当用户需要集成 Coze 智能体、调用 Coze API、或开发 Coze 相关应用时使用。支持流式和非流式对话、工作流调用等功能。