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Found 12 Skills
MongoDB document modeling, aggregation pipeline optimization, sharding strategies, replica set configuration, connection pool management, and indexing patterns. Use this skill for MongoDB-specific issues, NoSQL performance optimization, and schema design.
Schema migration strategies for evolving applications including adding new fields, backfilling data, removing deprecated fields, index migrations, and zero-downtime migration patterns
This skill should be used when the user asks to "initialize search", "set up semantic search", "enable qmd", "add search to secondbrain", or mentions wanting to enable semantic search capabilities for an existing secondbrain project.
Expert-level Elasticsearch, search, ELK stack, and full-text search
Reference for all GrepAI MCP tools. Use this skill to understand available MCP tools and their parameters.
Provides comprehensive guidance for Elasticsearch including indexing, searching, aggregations, mappings, and cluster management. Use when the user asks about Elasticsearch, needs to implement search functionality, work with Elasticsearch queries, or manage Elasticsearch clusters.
Programmatic SEO planning and analysis for pages generated at scale from data sources. Covers template engines, URL patterns, internal linking automation, thin content safeguards, and index bloat prevention. Use when user says "programmatic SEO", "pages at scale", "dynamic pages", "template pages", "generated pages", or "data-driven SEO".
读取 catalog 轻量目录或功能域详细索引
Open or rebuild the video-lens gallery index — your personal library of saved video summaries. Use this whenever the user wants to browse, open, or search saved video reports: "show my gallery", "open video library", "browse saved videos", "build gallery", "what videos have I saved", "show my video notes", "my video summaries", "find my saved summary for [topic]", "rebuild the index", "show video-lens index", "backfill metadata", "update index".
Clean code patterns for Azure AI Search Python SDK (azure-search-documents). Use when building search applications, creating/managing indexes, implementing agentic retrieval with knowledge bases, or working with vector/hybrid search. Covers SearchClient, SearchIndexClient, SearchIndexerClient, and KnowledgeBaseRetrievalClient.
Elasticsearch 集群管理
When user mentions "system health", "cleanup", "optimize claude-dash", "memory system", "indexes", "watcher", or wants to maintain the claude-dash infrastructure. Provides self-maintenance guidance.