godot-product-polisher
Godot 产品美化与打磨专家,支持自然语言描述自动完成视觉效果增强、音效优化、用户体验改进、成品包装等美化工作
Godot 产品美化与打磨专家,支持自然语言描述自动完成视觉效果增强、音效优化、用户体验改进、成品包装等美化工作
Godot 测试与调试工作流专家,支持自然语言描述自动完成单元测试、集成测试、错误诊断、性能调试等测试工作
为中文开发者提供完整的项目本地化、环境配置和开发工作流指导,确保中英文双语环境下的最佳开发体验
为中文开发者提供完整的项目本地化、环境配置和开发工作流指导,确保中英文双语环境下的最佳开发体验
Launch Baldur's Gate 3 through Steam on macOS and load saved games using macos-automator and peekaboo MCP servers. Designed for testing bg3se-macos (Script Extender) development. Use when: (1) launching BG3 from Steam, (2) loading a BG3 saved game, (3) testing SE mod injection, (4) user asks to "start BG3", "load my BG3 save", "play Baldur's Gate", "test the script extender". Requires macos-automator and peekaboo MCP servers installed with accessibility permissions.
This skill provides comprehensive knowledge for working with the Anthropic Claude Agent SDK. It should be used when building autonomous AI agents, creating multi-step reasoning workflows, orchestrating specialized subagents, integrating custom tools and MCP servers, or implementing production-ready agentic systems with Claude Code's capabilities. Use when building coding agents, SRE systems, security auditors, incident responders, code review bots, or any autonomous system that requires programmatic interaction with Claude Code CLI, persistent sessions, tool orchestration, and fine-grained permission control. Keywords: claude agent sdk, @anthropic-ai/claude-agent-sdk, query(), createSdkMcpServer, AgentDefinition, tool(), claude subagents, mcp servers, autonomous agents, agentic loops, session management, permissionMode, canUseTool, multi-agent orchestration, settingSources, CLI not found, context length exceeded
Use this skill when building AI applications with OpenAI Agents SDK for JavaScript/TypeScript. The skill covers both text-based agents and realtime voice agents, including multi-agent workflows (handoffs), tools with Zod schemas, input/output guardrails, structured outputs, streaming, human-in-the-loop patterns, and framework integrations for Cloudflare Workers, Next.js, and React. It prevents 9+ common errors including Zod schema type errors, MCP tracing failures, infinite loops, tool call failures, and schema mismatches. The skill includes comprehensive templates for all agent types, error handling patterns, and debugging strategies. Keywords: OpenAI Agents SDK, @openai/agents, @openai/agents-realtime, openai agents javascript, openai agents typescript, text agents, voice agents, realtime agents, multi-agent workflows, agent handoffs, agent tools, zod schemas agents, structured outputs agents, agent streaming, agent guardrails, input guardrails, output guardrails, human-in-the-loop, cloudflare workers agen
This skill provides comprehensive knowledge for working with OpenAI's Responses API, the unified stateful API for building agentic applications. It should be used when building AI agents that preserve reasoning across turns, integrating MCP servers for external tools, using built-in tools (Code Interpreter, File Search, Web Search, Image Generation), managing stateful conversations, implementing background processing, or migrating from Chat Completions API. Use when building agentic workflows, conversational AI with memory, tools-based applications, RAG systems, data analysis agents, or any application requiring OpenAI's reasoning models with persistent state. Covers both Node.js SDK and Cloudflare Workers implementations. Keywords: responses api, openai responses, stateful openai, openai mcp, code interpreter openai, file search openai, web search openai, image generation openai, reasoning preservation, agentic workflows, conversation state, background mode, chat completions migration, gpt-5, polymorphic o
Comprehensive guide for the Cloudflare Agents SDK - build AI-powered autonomous agents on Workers + Durable Objects. Use when: building AI agents, creating stateful agents with WebSockets, implementing chat agents with streaming, scheduling tasks with cron/delays, running asynchronous workflows, building RAG (Retrieval Augmented Generation) systems with Vectorize, creating MCP (Model Context Protocol) servers, implementing human-in-the-loop workflows, browsing the web with Browser Rendering, managing agent state with SQL, syncing state between agents and clients, calling agents from Workers, building multi-agent systems, or encountering Agent configuration errors. Prevents 15+ documented issues: migrations not atomic, missing new_sqlite_classes, Agent class not exported, binding name mismatch, global uniqueness gotchas, WebSocket state handling, scheduled task callback errors, state size limits, workflow binding missing, browser binding required, vectorize index not found, MCP transport confusion, authentic
Skills for querying ontologies using the Ontology Access Kit (OAK). This should only be used for complex ontology operations, for basic external ontology searching use the OLS MCP
This skill helps launch and configure the Chrome DevTools MCP server, giving Claude visual access to a live browser for debugging and automation. Use when the user asks to set up browser debugging, launch Chrome with DevTools, configure chrome-devtools-mcp, see what my app looks like, take screenshots of my web application, check the browser console, debug console errors, inspect network requests, analyse API responses, measure Core Web Vitals or page performance, run a Lighthouse audit, test button clicks or form submissions, automate browser interactions, fill out forms programmatically, simulate user actions, emulate mobile devices or slow networks, capture DOM snapshots, execute JavaScript in the browser, or troubleshoot Chrome DevTools MCP connection issues. Supports Windows, Linux, and WSL2 environments.
GDScript 语法权威指南,提供最新 Godot 4.5 语法规范、最佳实践、缩进规则和代码风格
Point at any repo (GitHub, GitLab, Bitbucket, Azure DevOps, self-hosted, or local) and get eval tasks that compare baseline coding agents vs MCP-augmented agents. Mines merged PRs/MRs for real code-change tasks, auto-generates ground truth from patches, produces runnable Docker environments for both configs. Works with private repos on any host. Triggers on mine tasks, propose tasks, discover tasks, find tasks, analyze repo for tasks, eval my repo, benchmark my repo.
How to fetch and interpret pool/token/balance data in Wayfinder Paths (PoolClient/TokenClient + adapters + MCP balance tools), including common query patterns and I/O shapes.
Parse Apple Health export (export.xml) and correlate wearable data with medical treatment history — optimized for oncology patients tracking health metrics across treatment cycles. Tracks heart rate, blood pressure, SpO2, weight, daily steps, and sleep, then overlays these onto treatment periods to reveal patterns. Generates per-metric reports and a treatment correlation analysis. Supports HealthKit MCP server integration. Works with records from medical-record-organizer. Trigger phrases: 分析我的苹果健康数据, 导入Apple Health数据, 化疗期间体重变化, 治疗期间心率, 看我的步数趋势, analyze Apple Health export, import health data, track weight during chemo, heart rate during treatment, activity trend.
YouTube transcript ingestion into the vault. Uses yt-dlp to fetch transcripts locally — no Docker, no MCP, no screen captures. Stores in research/videos/ with analysis_depth=transcript_only for future vision upgrade.
MCP or full-pipeline video analysis — vault notes must match Obsidian standard. For local yt-dlp transcripts only, use g-skl-ingest-youtube.
YouTube transcript ingestion into the vault. Uses yt-dlp to fetch transcripts locally — no Docker, no MCP, no screen captures. Stores in research/videos/ with analysis_depth=transcript_only for future vision upgrade.