Perform semantic code analysis across Ruby, Java, Kotlin, Python, and TypeScript/JavaScript projects.
npx skills add https://github.com/droppii/droppii-agents --skill ck-gkg-droppii
Please help me install this Agent Skill. Skill: ck:gkg Source: https://github.com/droppii/droppii-agents/tree/main/cursor/skills/gkg Command: npx skills add https://github.com/droppii/droppii-agents --skill ck-gkg-droppii
Collaborative and large-scale code exploration often suffers from brittle, manual searches that miss cross-file connections. This Skill provides semantic code analysis using a knowledge graph to enable go-to-definition, find-usages, and architecture visualization across languages.
Index your repository to build the knowledge graph and start the server to enable API access.
High-intent search queries and answers about installing and using this skill.
Semantic code analysis builds a knowledge graph from your repository to map relationships between definitions and usages across files. This enables accurate go-to-definition, find-usages, and impact analysis across Ruby, Java, Kotlin, Python, and TypeScript/JavaScript projects.
To index your repository for impact analysis, you run the indexing process to build the knowledge graph, then start the server to enable API access for go-to-definition and find-usages queries across your codebase.
Yes, semantic code analysis supports Python and Java projects, alongside Ruby, Kotlin, and TypeScript/JavaScript. It requires a knowledge-graph backend and language-specific indexing to enable cross-file navigation and impact analysis.
The best way to visualize code architecture is using a knowledge graph built from semantic code analysis. It maps cross-file connections and dependencies, providing architecture visualization and contextual code understanding for large-scale projects.
Yes, you can use a knowledge graph backend for safe refactoring in large codebases. It performs semantic code analysis to find all usages and assess impact across supported languages, preventing brittle manual searches from missing cross-file connections.
You need a knowledge graph backend for semantic code analysis because it stores the indexed relationships between definitions and usages. This structure replaces brittle manual searches, enabling accurate cross-file go-to-definition, find-usages, and impact assessment.
dthuy62Analyze source codebases with a semantic knowledge graph to locate definitions and usages.
MinhHoangDonoBuilds a symbol graph from AST parsing to query definitions, usages, and relationships in Git repositories.
haidonglethqbIndex code repositories and provide go-to-definition, find-usages, and impact analysis.
masrurimzLocate code implementations and trace usage with semantic search, grep, and glob.
