BLOCKWERK
◢ CATALOG / technical analysis

Document Knowledge Graph

PRO

Turn scattered docs into a queryable knowledge graph.

Build, update, query, or reason over a Neo4j-backed knowledge graph built from documentation — local Markdown, Confluence pages, Jira issues, architecture docs, requirements, policies, decisions. Prefer it for relationship-aware document analysis, source traceability, graph-based RAG, entity discovery, and documentation-intelligence workflows. Everything runs through the Python CLI at scripts/dkg.py; extraction is heuristic by default (no external calls).

Ask for it in plain English, e.g.

“build a knowledge graph from these docs”“index this Confluence space”“which source documents support this”“find documents related to”“export the graph summary”

Works in

AGENTS.mdClaudeGitHub CopilotCursorOllamaOpenAI GPTs
◢◢ EXAMPLE OUTPUT

You ask: Build a knowledge graph from the Markdown docs in `./docs`, then tell me which source documents mention "data residency" — and cite the evidence, not your own interpretation.

Example output from the Document Knowledge Graph skill

Example output shown for illustration. Your assistant produces this live from your own request once the skill is installed.