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manifest.json
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94 lines (94 loc) · 2.62 KB
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{
"dxt_version": "1.0.0",
"name": "agentic-substrate",
"displayName": "Agentic Substrate - Claude Code Enhancement",
"version": "3.1.0",
"description": "The foundational layer for Claude Code superintelligence. Adds Research→Plan→Implement workflow, multi-agent coordination, context engineering, and think protocols based on Anthropic's engineering philosophy.",
"server": {
"type": "static",
"enabled": false
},
"author": {
"name": "VAMFI Inc.",
"email": "support@vamfi.org",
"url": "https://vamfi.org"
},
"license": "MIT",
"repository": {
"type": "git",
"url": "https://github.com/VAMFI/claude-user-memory"
},
"categories": ["workflow", "agents", "productivity", "quality"],
"keywords": [
"workflow",
"agents",
"research",
"planning",
"implementation",
"context-engineering",
"think-tool",
"multi-agent",
"quality-gates",
"TDD",
"anthropic",
"agentic-substrate"
],
"main": "install.sh",
"install": {
"type": "shell",
"command": "./install.sh",
"destination": "~/.claude"
},
"icon": ".mcpb/icon.png",
"screenshots": [
".mcpb/screenshot-workflow.png",
".mcpb/screenshot-agents.png",
".mcpb/screenshot-context.png"
],
"anthropic": {
"minVersion": "2.0.20",
"capabilities": [
"agents",
"skills",
"commands",
"hooks",
"memory"
]
},
"files": [
".claude/**/*",
"install.sh",
"README.md",
"LICENSE",
"knowledge-core.md",
"CLAUDE.md"
],
"features": {
"agents": {
"count": 4,
"names": ["chief-architect", "docs-researcher", "implementation-planner", "code-implementer"],
"description": "Specialized agents for Research→Plan→Implement workflow"
},
"skills": {
"count": 5,
"names": ["research-methodology", "planning-methodology", "quality-validation", "pattern-recognition", "context-engineering"],
"description": "Auto-invoked capabilities that enhance agent performance"
},
"commands": {
"count": 5,
"names": ["/research", "/plan", "/implement", "/workflow", "/context"],
"description": "Quick commands for workflow automation"
},
"hooks": {
"count": 8,
"description": "Quality gates and economic viability checks"
}
},
"performance": {
"researchAccuracy": "49-67% improvement (contextual retrieval)",
"complexTasks": "54% improvement (think tool)",
"contextOptimization": "39% improvement, 84% token reduction",
"multiAgent": "90.2% performance gain, 90% time reduction",
"typicalFeature": "10-25 minutes (vs 55-120 minutes without)"
}
}