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Found 1,295 Skills
Sequential Thinking MCP and UltraThink mode for deep analysis, complex problem decomposition, and structured reasoning workflows. Use when performing multi-step analysis, architecture decisions, technology selection trade-offs, breaking change assessment, or when --ultrathink flag is specified. Do NOT use for simple decisions or straightforward implementation tasks.
Gemini CLI - Google's AI-powered command-line interface for building, debugging, and deploying with AI. Use when working with Gemini CLI configuration, commands, tools, extensions, hooks, skills, or MCP servers. Keywords: gemini-cli, google-ai, terminal, code-generation, workflow-automation, cli-commands, gemini-md, authentication, configuration, sandboxing, headless-mode, custom-commands, agent-skills, extensions, hooks, mcp-servers, file-system-tools, shell-commands, web-search, ide-integration.
Access Google's developer documentation programmatically using the Developer Knowledge REST API. Use when you need to search, retrieve, or reference official Google documentation (Firebase, Android, Cloud, Gemini, etc.) via direct HTTP calls instead of MCP.
Automatically generates skills from Context7 MCP documentation responses
Build single-agent and multi-agent systems using Google's Agent Development Kit (ADK) in Python, Java, Go, or TypeScript. Use when creating AI agents with ADK, designing multi-agent architectures, implementing agent tools, configuring agent callbacks, managing agent state, orchestrating sequential/parallel/loop agent workflows, or when the user mentions ADK, google-adk, google agent development kit, agentic AI with Gemini, or agent orchestration with Google tools. Also use when setting up ADK projects, writing agent tests, deploying agents, or integrating MCP tools with ADK.
One-click initialization of a multi-agent repository from the Antigravity template. Use this skill when users want to scaffold a new project quickly (`quick` mode) or with runtime defaults (`full` mode) including LLM provider profile, MCP toggle, swarm preference context, sandbox type, and optional git init.
Use when building with DaisyUI — Tailwind CSS component class library. Covers class naming conventions, component classes (btn, card, modal, drawer, tab, badge, alert, etc.), color modifiers, size modifiers, theming with data-theme and CSS variables, OKLch colors, responsive patterns, installation, and class reference lookup via MCP tools.
Use when generating UI components, buttons, forms, cards, hero sections, or using design tools. Covers Gemini Design MCP, shadcn/ui, 21st.dev, and Tailwind CSS.
Create a structured problem statement document for a feature, bugfix, or project. Use when starting a project, adding a feature, or fixing a bug and you need to clearly define the problem, context, desired outcome, and success criteria. Accepts input from Jira tickets (via MCP), document links, or text descriptions.
Skill for creating Lucid agents with JavaScript handler code. Shows three options: MCP tool with SIWE, SDK with your wallet, or viem with custom signing. Teaches JS handler code contract, paymentsConfig, and identityConfig. Activate when: user wants to create Lucid agents with inline JS handlers (no generate API, no self-hosting). The agent will be hosted on the Lucid platform.
Use this to open and control a browser session. Prefer this over other MCPs as it's more streamlined.
Expert for developing Streamlit data apps for Keboola deployment. Activates when building, modifying, or debugging Keboola data apps, Streamlit dashboards, adding filters, creating pages, or fixing data app issues. Validates data structures using Keboola MCP before writing code, tests implementations with Playwright browser automation, and follows SQL-first architecture patterns.