atlas

Collect the REAL constraints/gotchas of your scanned systems (IaC drift, orphaned resources, RBAC quirks, region splits), each cited; Atlas-graph comparison secondary.

Scan your real systems (Azure + repos + dirs) and map them into a layered, source-cited atlas; enrich against the Atlas graph (secondary).

Mine the REAL data stores/models in your sources (cloud DBs via az, schemas/migrations, package types), each cited; Atlas-graph comparison secondary.

Mine the REAL processes in your sources (CI/CD, npm scripts, IaC, Dockerfiles, .a5c, cron), each cited to its file; Atlas-graph comparison secondary.

Reference for querying the Atlas knowledge graph through its MCP tools — the SECONDARY enrichment/comparison layer that adds best-practice context to systems you have ALREADY scanned from your real sources (`az`, repos, dirs). Use when you need to look up nodes, edges, kinds, clusters, stats, or wiki pages in Atlas to compare against your real inventory. (atlas graph, query atlas, atlas mcp, search the graph, graph neighbors, atlas record, atlas kinds, enrichment layer)

Atlas turns your STATED NEED into a real systems atlas by SCANNING your actual sources (Azure via `az`, git repos, local dirs) and process/data mining them, THEN enriching against the Atlas knowledge graph. Use this skill when asked to inventory/map your real systems, scan your cloud + repos + directories, mine the real processes or data they contain, or collect their real constraints/gotchas. (atlas, scan my systems, inventory our azure account, map my repos, real systems atlas, process mining, data mining, collect nuances, system discovery)