jeebusgoodwin-netizen/perform_comparison_1c_rag_mcp
Benchmark performance of RAG and RLM-based MCP servers for 1C codebases using automated E2E testing to optimize AI assistant integration.
Benchmark performance of RAG and RLM-based MCP servers for 1C codebases using automated E2E testing to optimize AI assistant integration.
npx skills add jeebusgoodwin-netizen/perform_comparison_1c_rag_mcpBenchmark performance of RAG and RLM-based MCP servers for 1C codebases using automated E2E testing to optimize AI assistant integration.
Claude Code plugin voor Geonovum geo-standaarden voor ruimtelijke data in Nederland
🤖 Benchmark AI agent capabilities, bridging the gap between hype and reality with clear metrics and insights for informed development decisions.
Independent Agent/Codex skills for high-leverage data science workflows, with hero shots, infographics, validation scripts, and provider interoperability notes.
Explore Claude Code principles by using a Node.js version that adapts the original Python agents for easier learning and integration.
Collapse MCP servers into 2 tools: search and execute, cutting tool schemas and token use for faster agent setup
Skills-driven development workflow with CCG multi-model orchestration for Claude Code