spark-operations-cli Skill
Diagnose failed Spark jobs, unhealthy Livy sessions, and performance bottlenecks in Microsoft Fabric via read-only CLI triage. Use ONLY for FAILED/unhealthy runs; running a notebook and reporting its success status is spark-authoring-cli. Use when the user wants to: (1) diagnose why a Spark job, notebook run, or Lakeho Published by microsoft in skills-for-fabric.
Decision snapshot
Is this a fit?
Data analysis, Includes SKILL.md, Reusable instructions
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Copy skill directory
2 months ago · MIT license
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What is spark-operations-cli Skill?
Diagnose failed Spark jobs, unhealthy Livy sessions, and performance bottlenecks in Microsoft Fabric via read-only CLI triage. Use ONLY for FAILED/unhealthy runs; running a notebook and reporting its success status is spark-authoring-cli. Use when the user wants to: (1) diagnose why a Spark job, notebook run, or Lakeho Published by microsoft in skills-for-fabric. 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
- Data analysis
- Data analysis use cases
Declared skill metadata
- Source file: skills/spark-operations-cli/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 spark-operations-cli Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/skills-for-fabric
- Skill file: skills/spark-operations-cli/SKILL.md
What it does
Diagnose failed Spark jobs, unhealthy Livy sessions, and performance bottlenecks in Microsoft Fabric via read-only CLI triage. Use ONLY for FAILED/unhealthy runs; running a notebook and reporting its success status is spark-authoring-cli. Use when the user wants to: (1) diagnose why a Spark job, notebook run, or Lakeho
Skill instructions
Update Check — ONCE PER SESSION (mandatory) The first time this skill is used in a session, run the check-updates skill before proceeding. - GitHub Copilot CLI / VS Code: invoke the check-updates skill. - Claude Code / Cowork / Cursor / Windsurf / Codex: compare local vs remote package.json version. - Skip if the check was already performed earlier in this session. CRITICAL NOTES 1. To find the workspace details (including its ID) from workspace name: list all workspaces and, then, use JMESPath filtering 2. To find the item details (including its ID) from workspace ID, item type, and item name: list all items of that type in that workspace and, then, use JMESPath filtering 3. Skill disambiguation: spark-operations-cli is for read-only triage and diagnosis of existing jobs and sessions. For creating notebooks, running new jobs, or Spark development, use spark-authoring-cli. For interactive PySpark analysis and Livy session creation, use spark-consumption-cli. Spark Operations — CLI Skil
Verified compatibility and discovery
Frequently asked questions
What is spark-operations-cli?
spark-operations-cli is a open-source AI agent skill with Copy skill directory. Diagnose failed Spark jobs, unhealthy Livy sessions, and performance bottlenecks in Microsoft Fabric via read-only CLI triage.
Who is spark-operations-cli best for?
spark-operations-cli is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install spark-operations-cli?
Install or run spark-operations-cli using Copy skill directory. Check spark-operations-cli for the latest setup command.
Is spark-operations-cli actively maintained?
spark-operations-cli 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.
