qdrant-neo4j-crawl4ai-mcp 是做什麼的？
🧠 Enhance AI coordination with the Qdrant Neo4j Crawl4AI MCP server, combining vector search, knowledge graphs, and web intelligence for optimal performance.
🧠 Enhance AI coordination with the Qdrant Neo4j Crawl4AI MCP server, combining vector search, knowledge graphs, and web intelligence for optimal performance.
qdrant-neo4j-crawl4ai-mcp is a Claude Code agent skill that 🧠 Enhance AI coordination with the Qdrant Neo4j Crawl4AI MCP server, combining vector search, knowledge graphs, and web intelligence for optimal performance.
npx skills add Hyperkorn/qdrant-neo4j-crawl4ai-mcpInstalled? Explore more 研究與資料分析 skills: obra/superpowers, affaan-m/quarkus-verification, affaan-m/uspto-database · View all 6 →
🧠 Enhance AI coordination with the Qdrant Neo4j Crawl4AI MCP server, combining vector search, knowledge graphs, and web intelligence for optimal performance.
Agent skill repository discovered by 10x-chat research.
Verification loop for Quarkus projects: build, static analysis, tests with coverage, security scans, native compilation, and diff review before release or PR.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.