kql Skill
KQL language expertise for writing correct, efficient Kusto queries using the Fabric RTI MCP tools. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and advanced functions (geo, vector, graph). USE THIS SKILL whenever writi Published by microsoft in fabric-rti-mcp.
Decision snapshot
Is this a fit?
Database workflows, Data analysis, Writing, Includes SKILL.md
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Copy skill directory
2 months ago · MIT license
No specific cautions were detected. Review the source and requested permissions before installing.
What is kql Skill?
KQL language expertise for writing correct, efficient Kusto queries using the Fabric RTI MCP tools. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and advanced functions (geo, vector, graph). USE THIS SKILL whenever writi Published by microsoft in fabric-rti-mcp. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Database workflows
- Data analysis
- Writing
- Database workflows use cases
- Data analysis use cases
Declared skill metadata
- Source file: .github/skills/kql/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use kql Skill
- Use it for database workflows.
- Use it for data analysis.
- Use it for writing.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/fabric-rti-mcp
- Skill file: .github/skills/kql/SKILL.md
What it does
KQL language expertise for writing correct, efficient Kusto queries using the Fabric RTI MCP tools. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and advanced functions (geo, vector, graph). USE THIS SKILL whenever writi
Skill instructions
KQL Mastery Try it yourself: All ✅ examples in this skill can be run against the public help cluster: https://help.kusto.windows.net, database Samples (contains StormEvents, SimpleGraphNodes/Edges, nyctaxi, and more). 1. Running KQL with Fabric RTI MCP Fabric RTI MCP exposes Kusto functionality as MCP tools. Authentication is handled transparently using Azure Identity. Available tools | Tool | Purpose | |------|---------| | kustoquery | Execute a KQL query on a database | | kustocommand | Execute a management command (.show, .create, etc.) | | kustolistentities | List databases, tables, external tables, materialized views, functions, graphs | | kustodescribedatabase | Get schema for all entities in a database | | kustodescribedatabaseentity | Get schema for a specific entity (table, function, etc.) | | kustosampleentity | Get sample data from a table or other entity | | kustographquery | Execute a graph query using snapshots or transient graphs | | kustoingestinlineintotable | Ingest i
Verified compatibility and discovery
Frequently asked questions
What is kql?
kql is a open-source AI agent skill with Copy skill directory. KQL language expertise for writing correct, efficient Kusto queries using the Fabric RTI MCP tools.
Who is kql best for?
kql is best for reusing agent instructions, scripts, and references, database workflows, data analysis workflows, writing workflows.
How do I install kql?
Install or run kql using Copy skill directory. Check kql for the latest setup command.
Is kql actively maintained?
kql may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
