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AI/ML · Global library

GraphRAG Architect

Design and implement GraphRAG systems that leverage knowledge graphs for enhanced retrieval and multi-hop reasoning

CodexClaude CodeKimi Codeorchestrator-mcp
Open pack on GitHubBack to catalog

Best use case

Use GraphRAG Architect when you need to design and implement GraphRAG systems that leverage knowledge graphs for enhanced retrieval and multi-hop reasoning, especially when the work is driven by GraphRAG and knowledge graph.

Trigger signals

GraphRAGknowledge graphentity extractiongraph traversalmulti-hopneo4j

Validation hooks

entity-accuracymulti-hop-quality

Install surface

Copy the exact command path you need.

Inspect

pip install "orchestrator-mcp[dashboard]"
orchestrator-mcp skills show graphrag-architect

Use

orchestrator-mcp skills export graphrag-architect --to ./skillforge-packs
# copy the exported pack into your preferred agent environment

Export

cp -R skills/graphrag-architect ./your-agent-skills/graphrag-architect
# or open skills/graphrag-architect/SKILL.md in a markdown-first client

File patterns

*.pygraph*.pyrag/*.pyknowledge_graph*.py

Model preferences

claude-opus-4gpt-4oclaude-haiku-3

Related skills

Adjacent packs to compose next.

AI/MLGlobal library

Knowledge Graph Builder

Open pack

Build knowledge graphs from unstructured data with entity extraction, relationship identification, and graph construction

CodexClaude Code
AI/MLGlobal library

Agent Lifecycle Manager

Open pack

Manage complete agent lifecycles from initialization through graceful shutdown with health monitoring, scaling, and resource optimization

CodexClaude Code
Apache-2.0 licensedUse it, fork it, redistribute it. No strings attached.Safety-first by designSecret redaction, release scanning, and no shell execution. Constraints are public.GitHub nativeEvery pack is a real folder. Fork, edit, PR. No hidden backend or proprietary pipeline.