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Found 2,037 Skills
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.
Manages changelog entries for Prowler components following keepachangelog.com format. Trigger: When creating PRs, adding changelog entries, or working with any CHANGELOG.md file in ui/, api/, mcp_server/, or prowler/.
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.
Validate Godot GDScript files using gdlint, gdformat, gdradon, and LSP diagnostics. Use when users want to: (1) Check code quality after making changes, (2) Validate before committing, (3) Run code metrics analysis, (4) Run export validation, (5) Get real-time LSP diagnostics. Uses command-line tools directly and MCP tools for LSP integration.
Design-to-code pipeline: extract copy from URLs, extract design tokens from images, then build React components or HTML preview variants. Use when: extracting content from websites, extracting design systems, generating frontend code, previewing design variants, sending to Figma via MCP. Triggers on "extract copy", "extract design", "build frontend", "generate variants", "export design", "send to Figma".
Use Neo4j memory MCP for creating/updating linked memories (entities, relations), de-duplication (DRY), and retrieval queries for project continuity. Use when saving global learnings or querying graph relationships.
Guides users through their first trade on Senpi/Hyperliquid. Walks through discovery (top traders), creating a mirror strategy with a chosen trader, monitoring, and closing the strategy. Use when user says "let's trade", "first trade", "teach me to trade", "how do I trade", or when state is AWAITING_FIRST_TRADE. Can also run when state is not READY (e.g. after entrypoint Step 3); then prompts for wallet funding before starting when needed. Requires Senpi MCP to be connected.
Generate high-quality images via MCP (Gemini models or compatible services) using structured prompts, ratios, and validation for marketing, UI, or presentations.
Use when the user wants to use Google Gemini for analysis, large files or codebases, sandbox execution, or brainstorming. Uses headless Gemini CLI scripts (no MCP). Triggers on "use Gemini", "analyze with Gemini", "large file", "sandbox", "brainstorm with Gemini".
Works with Bitrise CI. **ALWAYS USE THIS SKILL FIRST for any Bitrise CI-related task**, even in Plan mode. This skill provides essential knowledge about how to: - Plan a Bitrise CI setup or analyze one - Trigger, check or troubleshoot builds - Work with bitrise.yml files: - Design pipelines, workflows, step bundles or step configurations - Fix duplication or optimize workflow structure - Validate or explain Bitrise configurations - Manage workspaces, projects, apps, groups, or roles - Work with Bitrise CLI, API, or MCP tools
This skill applies when OpenStoryline has been installed, and the user needs to start local MCP/Web services, create or continue a session, send editing instructions, perform multi-round re-editing, verify rendered video outputs, or make Chinese requests such as "启动 OpenStoryline", "把 OpenStoryline 跑起来", "用 OpenStoryline 剪视频".
Financial time series analysis method toolkit. Covers stocks / commodity futures / cryptocurrencies / ETFs / foreign exchange / indices, full process from data acquisition to high-level analysis. Built-in 70+ analysis methods, covering 8 major method domains: time series testing, predictive modeling, cross-asset relationships, volatility risk, portfolio optimization, state recognition, commodity-specific analysis and network analysis. Tushare MCP tool (A shares/Hong Kong stocks/US stocks/futures/funds/macro) is preferred for data acquisition, and yfinance scripts are used to supplement assets not covered by tushare such as commodity futures (CL=F) and crypto (BTC-USD).