Index codebases with AST parsing and graph databases for symbol navigation.
npx skills add https://github.com/hotriluan/alkana-dashboard --skill gkg-hotriluan
Please help me install this Agent Skill. Skill: gkg Source: https://github.com/hotriluan/alkana-dashboard/tree/main/.opencode/skills/gkg Command: npx skills add https://github.com/hotriluan/alkana-dashboard --skill gkg-hotriluan
Semantic code analysis and symbol navigation across repositories, enabling IDE-like insights for AI assistants.
Index your repository and start the semantic navigation server to enable code exploration.
High-intent search queries and answers about installing and using this skill.
Go-to-definition and find-usages across a multi-language codebase require AST parsing and a graph database like KuZuDB to index definitions and relationships, enabling semantic symbol navigation and impact analysis.
Semantic code analysis supports Ruby, Java, Kotlin, Python, and TypeScript/JavaScript projects, applying AST parsing to index definitions and relationships for language-agnostic symbol navigation and architecture visualization.
A knowledge graph helps with code navigation by indexing definitions and relationships in a graph database, enabling semantic analysis for go-to-definition, find-usages, and impact analysis across repositories.
Yes, architecture visualization requires a graph database like KuZuDB to index definitions and relationships, utilizing AST parsing to map symbols and enable RAG-enabled code understanding across your repositories.
To integrate symbol navigation into an AI assistant, index your repository and start the semantic navigation server with optional API server and MCP tools, providing IDE-like insights for code exploration.
Semantic code indexing requires AST parsing to accurately extract definitions and relationships across repositories, building a knowledge graph that enables go-to-definition, find-usages, and impact analysis for multi-language projects.
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