{"blobs":{"11373acbcd64ff858052491f9b59f3047e7193743d3c686924b732576b02364d":"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"},"entities":{"agents":[],"projects":[],"skills":[{"files":[{"blob":"11373acbcd64ff858052491f9b59f3047e7193743d3c686924b732576b02364d","executable":false,"path":"SKILL.md"}],"id":"skill-ai-agent-runtime-mcp-research","name":"ai-agent-runtime-mcp-research","origin":"orqestria-builtin-skill-ai-agent-runtime-mcp-research","version":"1.0.0+71f8a66a42dbd34fa206c016"}],"teams":[],"workflows":[]},"format":"orqestria.bundle","package":{"description":"ai-agent-runtime-mcp-research: Research technical options from primary sources and turn evidence, experiments and trade-offs into an adoption decision.","id":"orqestria-skill-ai-agent-runtime-mcp-research","kind":"skill","name":"ai-agent-runtime-mcp-research","readme":"# ai-agent-runtime-mcp-research\n\nai-agent-runtime-mcp-research: Research technical options from primary sources and turn evidence, experiments and trade-offs into an adoption decision.\n\nIncludes the complete skill and its supporting files (1 files). The exact authored scope is preserved below.\n\nOriginal skill description (source language)\n\nUse when evaluating AI agent frameworks, LLM runtimes, MCP servers and transports, tool-calling architectures, context/memory strategies, and sandboxing by inspecting their actual execution loops.\n\nInstall the skill, review its source and trust settings, then enable it for the relevant project or agent.","requirements":["Orqestria installed on your computer."],"root":"skill-ai-agent-runtime-mcp-research","version":"1.0.0+29c36224f17ff9534d21fcac"},"schemaVersion":1}
