graph-query

安装量: 54
排名: #13628

安装

npx skills add https://github.com/davila7/claude-code-templates --skill graph-query

AI Maestro Code Graph Query Query your codebase's dependency graph to understand component relationships, call chains, and the impact of changes before making modifications. Part of the AI Maestro suite. Prerequisites Requires AI Maestro running locally with codebase indexed.

Install graph tools

git clone https://github.com/23blocks-OS/ai-maestro-plugins.git cd ai-maestro-plugins && ./install-graph-tools.sh Core Behavior After reading any code file, query the graph to understand dependencies: Read file -> Query graph -> Then proceed Commands Query Command Description graph-describe.sh Describe a component or function graph-find-callers.sh Find all callers of a function graph-find-callees.sh Find all functions called by this function graph-find-related.sh Find related components graph-find-by-type.sh Find all components of a type graph-find-serializers.sh Find serializers for a model graph-find-associations.sh Find model associations graph-find-path.sh Find call path between functions Index Command Description graph-index-delta.sh [path] Index or update the code graph Component Types Use with graph-find-by-type.sh : model , serializer , controller , service , job , concern , component , hook Usage Examples

After reading a model file

graph-describe.sh User graph-find-serializers.sh User graph-find-associations.sh User

Before modifying a function

graph-find-callers.sh process_payment graph-find-callees.sh process_payment

Find call chain between components

graph-find-path.sh handleRequest sendResponse

Index your codebase

graph-index-delta.sh /path/to/project Why Query Before Modifying Without checking the graph, you risk: Breaking callers when changing a function signature Missing serializers that need updating with a model change Overlooking child classes that inherit your modifications Full AI Maestro Experience This skill is part of the AI Maestro platform, which provides 6 skills for AI agent orchestration: messaging, memory, docs, graph, planning, and agent management.

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