3. Data, Science & AI

Generates concise textual summaries of key metrics from completed machine learning experiments for quick analysis.

Guides the use of Firecrawl MCP for web scraping, content extraction, and structured data mapping from websites.

Enables direct web scraping and structured data extraction from websites using Firecrawl API via curl, without requiring an MCP server.

Refines AI prompts by eliminating ambiguities, resolving conflicts, and adding definitions for precise model responses.

Optimizes AI prompts for maximum information density, reducing token count without losing meaning. Ideal for compressing or tightening prompts.

Generates diverse perspectives by concurrently running three AI models to provide comprehensive insights on user queries.

Precisely refines AI prompts by incorporating user feedback while maintaining intent, information density, and preventing regressions.

Optimizes AI prompts to align with specific goals, preventing missteps and enhancing efficiency in achieving desired outcomes.

Enables single-model AI consultation via a consultant agent, defaulting to gpt-5.2-pro for expert responses.

Extracts social metadata (title, description, image) from URLs for link previews and social sharing analysis.

Generates and edits images using Gemini API for creating new visuals or modifying existing ones.

AI-driven cryptocurrency market analysis covering price trends, news sentiment, technical indicators, and investment opportunities.

Provides standardized prompt engineering and context engineering principles for AI agents, optimized for clarity, structure, and signal-to-noise ratio based on Anthropic best practices.

Executes native Fabric patterns for AI-driven content processing, including summarization, claim analysis, and threat modeling, without external CLI dependencies.

Provides foundational configuration for Personal AI Infrastructure (PAI), handling identity, response formats, security protocols, and delegation patterns at session start.

Automates configuration and connectivity verification for 9 AI tools in MinDao Cloud's HAP MCP system upon user request.

Integrates multiple plot point analysis results into unified reports via deduplication, classification, sorting, and summarization.

Provides techniques for optimizing SQL queries, indexing strategies, and EXPLAIN analysis to enhance database performance and eliminate slow queries.

Expert SQL skill for cloud database optimization, performance tuning, and complex analytical query execution.

Manages dynamic AI context across multi-agent workflows using vector databases and knowledge graphs for enterprise-scale orchestration.

Optimizes database performance through query tuning, indexing, and scalable architecture design for improved efficiency and scalability.

Provides AI-powered business analysis with real-time dashboards, KPI frameworks, and predictive models for data-driven strategic decisions.

Transforms data into compelling narratives using visualization and persuasive structure for stakeholder presentations and executive reports.

Designs scalable database architectures including schema modeling, technology selection (SQL, NoSQL, TimeSeries), and performance optimization for greenfield and existing systems.