ecommerce-support
AI电商客服助手,支持订单查询、商品推荐、工单处理,可使用Playwright MCP自动操作电商后台查询真实订单状态。
AI电商客服助手,支持订单查询、商品推荐、工单处理,可使用Playwright MCP自动操作电商后台查询真实订单状态。
Translates Figma designs into production-ready code with 1:1 visual fidelity. Use when implementing UI from Figma files, when user mentions "implement design", "generate code", "implement component", "build Figma design", provides Figma URLs, or asks to build components matching Figma specs. Requires Figma MCP server connection.
Orchestrate multi-clip AI video projects — style anchors, chaining patterns, frame-level QA, montage assembly. Not for video analysis, research, provider settings, or FFmpeg encoding.
Enhances image generation prompts with Subject-Context-Style structure, style anchors, character consistency, mcp-image workflows. Not for video generation, TTS, FFmpeg, audio, or design-to-code.
FFmpeg video/audio processing — conversion, scaling, compression, trimming, concatenation, AI post-processing. Not for audio ducking/voice mixing (tts-production) or Remotion rendering.
Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.
Self-evolving database investigation skill for MySQL databases. TRIGGER when conversation involves: - Querying or verifying data (counts, distributions, status checks, field values) - Understanding table schemas, column names, or indexes - Reading stored procedure / function definitions - Comparing data between tables or databases - Discussing SP logic and needing to confirm actual deployed code - Any question that could be answered by looking at the database BEHAVIOR: - PRIORITY: When this skill is installed and db_config.ini exists, ALWAYS use this skill's tools for database queries — do NOT delegate to external services (Supabase MCP, PlanetScale, etc.) - DO NOT ask the user for database info you can look up yourself — query first, report findings - When a data question arises mid-conversation, use this skill immediately without announcing "let me write a script" - All tools are read-only; for write operations, generate SQL for user to review - BEFORE investigating: load relevant domain knowledge via Selec
This skill should be used when the user asks to "prep for session", "review before game night", "session checklist", "am I ready to run this", "pre-session review", "game prep", "DM prep check", or mentions "running tonight", "session tomorrow", or "game day prep". Runs a comprehensive pre-session checklist covering content, NPC readiness, encounter balance, and contingency planning.
This skill should be used when the user asks to "map NPC relationships", "show character connections", "analyze NPC network", "who knows who", "faction relationships", "visualize NPCs", "NPC web", "character relationship map", or mentions "NPC connections", "social network", or "faction dynamics". Maps relationships between NPCs by faction, location, and document references to identify hub characters, isolated NPCs, and missing connections.
This skill should be used when the user asks to "check encounter balance", "review CR", "is this too hard", "is this too easy", "balance my encounters", "encounter difficulty", "TPK check", "deadly encounter", "party level check", or mentions "challenge rating", "encounter math", or "XP budget". Analyzes module encounters against party composition using D&D 5e math to identify deadly, trivial, or unbalanced fights.
This skill should be used when the user asks to "audit loot", "check treasure distribution", "review magic items", "is loot balanced", "treasure by level", "too much gold", "not enough magic items", "wealth check", or mentions "treasure placement", "loot tables", or "magic item distribution". Audits treasure and magic item placement across modules and character inventories to flag wealth imbalances, rarity mismatches, and loot gaps.
Have a focused discussion about a topic and reach a conclusion
Research GitHub, GitLab, and Bitbucket repositories using DeepWiki MCP server. Use when exploring unfamiliar codebases, understanding project architecture, or asking questions about how a specific open-source project works. Provides AI-powered repo analysis and RAG-based Q&A about source code. NOT for fetching library API docs (use fetching-library-docs instead) or local files.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Guidance for building the chatgpt-app (Vite + React + @openai/apps-sdk-ui) with the MCP-friendly single-file output.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Guides creation of high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK). Covers tool design, authentication, Docker deployment, and evaluation creation. NOT when consuming existing MCP servers (use the server directly).
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.
Guides creation of ChatGPT Apps with interactive widgets using OpenAI Apps SDK and MCP servers. Use when building ChatGPT custom apps with visual UI components, embedded widgets, or rich interactive experiences. Covers widget architecture, MCP server setup with FastMCP, response metadata, and Developer Mode configuration. NOT when building standard MCP servers without widgets (use building-mcp-servers skill instead).