azure-kusto-graph
Build and query Kusto graphs from natural language. Covers transient graphs (make-graph), persistent graph models/snapshots, pattern matching (graph-match),…
Apply IRQL graph functions to KQL or IRQL query results for Kusto Explorer visualization. Generates Lift_To_Graph mappings and composes Graph_Render_View, Graph_Fold_By_Property, Extract_Node_*, Enrich_Node_*, and Enrich_Graph_* calls. Accepts a supplied query or limited basic
$ npx -y skills add microsoft/GitHub-Copilot-for-Azure --skill azure-kusto-irql-graph --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/azure-kusto-irql-graphContext preview
The summary Claude sees to decide when to auto-load this skill.
Apply IRQL graph functions to KQL or IRQL query results for Kusto Explorer visualization. Generates Lift_To_Graph mappings and composes Graph_Render_View, Graph_Fold_By_Property, Extract_Node_*, Enrich_Node_*, and Enrich_Graph_* calls. Accepts a supplied query or limited basic
name: azure-kusto-irql-graph description: "Apply IRQL graph functions to KQL or IRQL query results for Kusto Explorer visualization. Generates Lift_To_Graph mappings and composes Graph_Render_View, Graph_Fold_By_Property, Extract_Node_*, Enrich_Node_*, and Enrich_Graph_* calls. Accepts a supplied query or limited basic natural-language source request; it is not a general natural-language-to-KQL/IRQL skill. WHEN: Lift_To_Graph, Graph_Render_View, Graph_Fold_By_Property, IRQL graph enrichment, graph mapping for existing query results, icon-decorated graph, fold graph nodes. Use azure-kusto-graph for native make-graph analysis, graph-match, shortest paths, components, or persistent graphs." license: MIT metadata: author: Microsoft version: "0.0.0-placeholder"
Apply the IRQL graph function family to tabular results. Given a KQL or IRQL query and the user's graph description, generate a `Lift_To_Graph` mapping and compose only the stored graph functions needed to visualize, fold, extract, or enrich the graph in Kusto Explorer. The source query does not need to use IRQL.
| Request | Use | |---|---| | Turn supplied KQL/IRQL rows into an icon-decorated visual graph | This skill: `Lift_To_Graph` + `Graph_Render_View` | | Fold nodes or apply `Extract_Node_*`, `Enrich_Node_*`, or `Enrich_Graph_*` | This skill | | Use `make-graph`, `graph-match`, shortest paths, connected components, graph models, or snapshots | `azure-kusto-graph` | | Author a non-trivial KQL/IRQL investigation from natural language | A Kusto or IRQL query-generation skill, then this skill |
If a request mixes visualization and native graph analysis, use this skill for the lift/render portion and `azure-kusto-graph` for operator semantics. Do not replace graph-lift functions with a hand-built edges-first graph unless the user asks for native graph operators.
Use this skill when the user:
Do not activate this skill solely for `graph-match`, graph paths/components, persistent graphs, or generic `make-graph` construction; those belong to `azure-kusto-graph`.
**Not a natural-language-to-KQL/IRQL converter.** The input should generally be a working KQL or IRQL query whose results need graph visualization. Basic NL source requests work only for trivial single-table/selector cases. For general NL-to-KQL or NL-to-IRQL, use a dedicated query-generation skill (available separately).
`Lift_To_Graph` and `Graph_Render_View` are stored functions, not built-in Kusto operators. Before generating or running a lift pipeline against a target database, check what is deployed:
.show functions
| where Name in~ ("Lift_To_Graph", "Graph_Render_View", "Graph_Fold_By_Property")
| project NameTransforms any tabular KQL result into a unified node + edge table.
**Input**: Any table `T` + a JSON mapping string. **Output**: Rows with `EntityType` = `"node"` or `"edge"`, ready for `make-graph`.
Takes `Lift_To_Graph` output, splits nodes/edges, and calls `make-graph` to open Kusto Explorer's graph window.
Collapses nodes of a given type sharing a property value into a single node. Rewires edges aut
GitHub Copilot for Azure is a set of extensions for Visual Studio, VS Code, and Claude Code designed to streamline the process of developing for Azure.
Repo: microsoft/GitHub-Copilot-for-Azure
Build and query Kusto graphs from natural language. Covers transient graphs (make-graph), persistent graph models/snapshots, pattern matching (graph-match),…
Compose IRQL (Incident Response Query Language) queries for Kusto cybersecurity investigations. Translates natural language hunting questions into composable…
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first…
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to…
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR.…
Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI…