
Azure Kusto Irql Graph
by microsoft354361d83247MITListed Oct 8, 2026Updated Oct 8, 2026
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.
Add to a SourceWeft workspace
- Open the skill in your dashboard and add it to a workspace.
- Enable it for the chats that should use it.
This skill is instructions only: it ships no scripts to execute.
Add to SourceWeftYou will be asked to sign in first, then taken straight to this skill.
Ask your agent to install it
Paste this prompt into Claude Code, Codex, Cursor or another agent that can run commands — or into SourceWeft chat. The agent reads this skill's install guide, shows you its source, license and scripts, and installs it with the SourceWeft CLI once you agree.
Read https://sourceweft.com/skills/gh-microsoft-skills-azure-kusto-irql-graph/install.md and install the skill it describes. Before installing, show me its source, license and whether it ships scripts, and wait for my OK. Ask me before changing anything else on my machine.Install it yourself from a terminal
For Claude Code, Codex, Cursor and other local agents. The SourceWeft CLI fetches the skill from its source repository at the commit scanned here, and verifies every file against the hashes recorded when the skill was scanned. If anything differs, nothing is written.
npx @sourceweft/cli skills install gh-microsoft-skills-azure-kusto-irql-graphAdd --agent claude-code, codex, cursor or universal to choose which agent gets it (Claude Code by default).
Upstream installer — not verified by SourceWeft
The open-source skills installer fetches the same pinned commit, but does not check the files against the hashes SourceWeft recorded.
npx skills add https://github.com/microsoft/skills/tree/354361d83247c76a1c21e802e0d4887c4d8323a3/.github/plugins/azure-kusto-graph-skills/skills/azure-kusto-irql-graphSource and attribution
Source:microsoft/skillsin.github/plugins/azure-kusto-graph-skills/skills/azure-kusto-irql-graphat commit354361d
License: MIT
Content belongs to its original authors. SourceWeft indexes it from a public repository.
More from microsoft/skills

Customize
microsoft
Guided interactive workflow for deploying Azure OpenAI models with custom version, SKU, capacity, and content-filter choices.

Discover Azure Skills
microsoft
Searches the Azure skills catalog on GitHub and recommends installable agent skills matching an Azure task.

Azure Resource Visualizer
microsoft
Analyzes Azure resource groups and produces a markdown document with a detailed Mermaid architecture diagram of resource relationships.

Azure Resource Lookup
microsoft
Lists and finds Azure resources across subscriptions using Azure Resource Graph queries and MCP tools.

Azure Messaging
microsoft
Troubleshoots Azure Event Hubs and Service Bus SDK connection, authentication, and message processing problems.

Azure Kusto
microsoft
Runs KQL queries and explores schemas in Azure Data Explorer (Kusto) for log, telemetry and time series analysis.
More in Data & Analytics

Spanner Basics
Guides Google Cloud Spanner administration, schema design, querying and performance diagnosis.

Gke Cost Analysis
Answers natural-language questions about GKE cluster and workload costs using BigQuery billing exports and live cluster metrics.

Datalineage Bigquery Asset Impact Analysis
Guides an agent through downstream impact (blast radius) analysis for a BigQuery table or view using Data Lineage.

Bigquery Troubleshooting
Diagnoses failing, slow, or unexpectedly expensive BigQuery jobs through structured root-cause workflows.

Bigquery Optimization
Guides BigQuery cost and performance optimization across capacity editions, storage layout, and SQL queries.

Bigquery Bigframes
Guides writing Python code with BigQuery DataFrames (BigFrames) for data processing, analysis, and machine learning.