全部能力

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when…

独立于任何界面定义产品的对象、关系、状态和词汇——这是最核心的承重层。

Expert system for designing, creating, and validating PCL skills with comprehensive domain knowledge extraction

Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server. Use when you need to: (1) Find user pain points and frustrations for product ideas, (2) Discover niche markets or underserved needs, (3) Research what people really think about products/topics, (4) Find content inspiration from real discussions, (5) Analyze sentiment and trends on Reddit, (6) Validate business ideas with real user feedback. Triggers: reddit search, find pain points, market research, user feedback, what do people think about, reddit trends, niche discovery, product validation.

Atlassian Confluence expert for creating and managing spaces, knowledge bases, documentation, planning, product discovery, page layouts, macros, templates, and all Confluence features. Use for documentation strategy, space architecture, content organization, and collaborative knowledge management.

Docker Compose container orchestration and management. Manage multi-container applications, services, networks, and volumes. Use for local development,…

Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server. Use when you need to: (1) Find user pain points and frustrations for product ideas, (2) Discover niche markets or underserved needs, (3) Research what people really think about products/topics, (4) Find content inspiration from real discussions, (5) Analyze sentiment and trends on Reddit, (6) Validate business ideas with real user feedback. Triggers: reddit search, find pain points, market research, user feedback, what do people think about, reddit trends, niche discovery, product validation.

Use this skill when building production LLM applications, implementing guardrails, evaluating model outputs, or deciding between prompting and fine-tuning. Triggers on LLM app architecture, AI guardrails, output evaluation, model selection, embedding pipelines, vector databases, fine-tuning, function calling, tool use, and any task requiring production AI application design.

Create ASCII diagrams for markdown using graph-easy. TRIGGERS - ASCII diagram, graph-easy, architecture diagram, markdown diagram.

Designs comprehensive observability strategies including SLI/SLO frameworks, alerting optimization, and dashboard generation. Use when implementing monitoring for a production service, creating or tuning alert rules, designing Grafana dashboards, defining SLOs and error budgets, or reducing alert fatigue in on-call rotations.

Designs retrieval-augmented generation pipelines for document-based AI assistants. Includes chunking strategies, metadata schemas, retrieval algorithms,…

6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit…

Manages permanent memory storage for decisions, blockers, context, preferences, and procedures. Use when user says "remember", "save this decision", "what did…

Use when creating professional graphics, designs, and visual content for Xiaohongshu posts, stories, banners, or marketing materials without advanced design…

Expert knowledge for creating hand-drawn style SVG illustrations. Activate when creating custom diagrams, working with illustration components, or needing…

When the user wants to choose, change, or evaluate their App Store / Google Play category and subcategory — including primary vs secondary category trade-offs,…