snowflake-semanticview
Create, alter, and validate Snowflake semantic views using the Snowflake CLI.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
146 skills found
Create, alter, and validate Snowflake semantic views using the Snowflake CLI.
Advanced context engineering system for orchestrating AI agents, memory management, and token optimization to improve long-term persistence and project intelligence.
Anthropic Claude AI models for high-performance coding, large-context analysis, and GUI interaction.
Token-efficient codebase navigation through intelligent symbol indexing, domain chunking, and architectural layer filtering. Reduce token usage by 60-95% when exploring or developing complex systems.
Comprehensive reference for GrepAI configuration, detailing the .grepai/config.yaml schema, embedder settings, storage backends, and optimization parameters.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
Generate hierarchical, AI-optimized documentation structures (AGENTS.md, agent.d) to streamline codebase context, setup, and navigation for AI coding assistants and developers.
Integrate Snowflake with MCP clients. Manage Snowflake endpoints, validate connectivity, and leverage Cortex AI (Search, Analyst, Agent) services directly within your AI workflow.
Optimize title tags, meta descriptions, Open Graph, and Twitter cards for maximum CTR with A/B testing variations.
Search and discover Claude Code skills and MCP servers from marketplaces, GitHub repositories, and registries to enhance your AI-assisted development workflow.
6-phase read-only Python analysis workflow that identifies design principle violations, code smells, and modernization opportunities based on specific project types (POC to Open Source).
Search and retrieve AI-generated documentation, architecture guides, and API references for 300+ popular GitHub repositories using DeepWiki and MCP.