How do I install the Synapseml Local Setup skill?

Run npx skillmds@latest add microsoft/synapseml-local-setup in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Synapseml Local Setup safe to use?

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Which AI agents work with Synapseml Local Setup?

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Is Synapseml Local Setup free to use?

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Who published Synapseml Local Setup?

Microsoft (@microsoft) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Synapseml Local Setup by microsoft — Agent Skill

Name: Synapseml Local Setup
Author: Microsoft

Synapseml Local Setup

Set up and validate SynapseML locally in WSL or Linux. Use when an agent needs SynapseML working locally, runs sbt compile/test, sees Java 21, Scala 2.12 compiler-bridge, bad constant pool index, Spark, or local validation failures.

Microsoft 8c2861d 6 files · 10.0 KB Updated Sep 17, 2026 2.7k repo stars

File contents

SynapseML Local Setup

Use this skill before any local SynapseML build, compile, or test validation.

Important

Always use an explicit SynapseML repo path.
Do not run SynapseML SBT with the machine default Java 21. Use JDK 11: /usr/lib/jvm/java-11-openjdk-amd64
Java 21 can fail before project code compiles with bad constant pool index: 0 while building Scala 2.12 compiler-bridge_2.12.
Compile commands are safe. Some cognitive service tests create, write, list, or delete real Azure resources. Inspect before running those tests and ask for approval if live resources are involved.

Workflow

1. Diagnose the repo and toolchain

Run scripts/synapseml-doctor.sh:

scripts/synapseml-doctor.sh --repo <synapseml-repo>

Capture:

Git branch and dirty state.
Default Java version.
JDK 11 availability.
sbt version and SynapseML Scala/Spark versions.

2. Compile with JDK 11

Run scripts/synapseml-sbt.sh:

scripts/synapseml-sbt.sh --repo <synapseml-repo> -- cognitive/Test/compile

Expected result:

sbt welcome line says Java 11.
core and cognitive main/test classes compile.
Command exits with [success].

3. Run a safe local smoke test

Run scripts/synapseml-smoke-test.sh:

scripts/synapseml-smoke-test.sh --repo <synapseml-repo>

Expected result:

One local Spark test runs.
Output includes All tests passed.

4. Inspect PR-specific tests before running them

Before running service tests, run scripts/check-live-service-tests.sh:

scripts/check-live-service-tests.sh --path <test-file-or-directory>

If it reports live-service hooks, ask the user before running that suite. Do not create or delete Azure Search indexes just to test a PR.

5. Run targeted tests only after safety review

Use the JDK 11 wrapper for any targeted SBT command:

scripts/synapseml-sbt.sh --repo <synapseml-repo> -- '<module>/testOnly <SuiteName> -- -z "<test filter>"'

If tests fail before compiling project code, load references/troubleshooting.md.

Known-good baseline

On 2026-05-05, this setup was validated with:

JDK: /usr/lib/jvm/java-11-openjdk-amd64
Java: openjdk version "11.0.30"
SynapseML: Scala 2.12.17, Spark 3.5.0, sbt 1.10.11
Compile: sbt 'cognitive/Test/compile' succeeded.
Smoke test: UDFTransformerSuite filtered test succeeded.

---name: synapseml-local-setupdescription: Set up and validate SynapseML locally in WSL or Linux. Use when an agent needs SynapseML working locally, runs sbt compile/test, sees Java 21, Scala 2.12 compiler-bridge, bad constant pool index, Spark, or local validation failures.---# SynapseML Local SetupUse this skill before any local SynapseML build, compile, or test validation.## Important- Always use an explicit SynapseML repo path.- Do not run SynapseML SBT with the machine default Java 21. Use JDK 11: `/usr/lib/jvm/java-11-openjdk-amd64`- Java 21 can fail before project code compiles with `bad constant pool index: 0` while building Scala 2.12 `compiler-bridge_2.12`.- Compile commands are safe. Some cognitive service tests create, write, list, or delete real Azure resources. Inspect before running those tests and ask for approval if live resources are involved.## Workflow### 1. Diagnose the repo and toolchainRun [scripts/synapseml-doctor.sh](scripts/synapseml-doctor.sh):```bashscripts/synapseml-doctor.sh --repo <synapseml-repo>```Capture:- Git branch and dirty state.- Default Java version.- JDK 11 availability.- sbt version and SynapseML Scala/Spark versions.### 2. Compile with JDK 11Run [scripts/synapseml-sbt.sh](scripts/synapseml-sbt.sh):```bashscripts/synapseml-sbt.sh --repo <synapseml-repo> -- cognitive/Test/compile```Expected result:- sbt welcome line says Java 11.- `core` and `cognitive` main/test classes compile.- Command exits with `[success]`.### 3. Run a safe local smoke testRun [scripts/synapseml-smoke-test.sh](scripts/synapseml-smoke-test.sh):```bashscripts/synapseml-smoke-test.sh --repo <synapseml-repo>```Expected result:- One local Spark test runs.- Output includes `All tests passed.`### 4. Inspect PR-specific tests before running themBefore running service tests, run [scripts/check-live-service-tests.sh](scripts/check-live-service-tests.sh):```bashscripts/check-live-service-tests.sh --path <test-file-or-directory>```If it reports live-service hooks, ask the user before running that suite. Do not create or delete Azure Search indexes just to test a PR.### 5. Run targeted tests only after safety reviewUse the JDK 11 wrapper for any targeted SBT command:```bashscripts/synapseml-sbt.sh --repo <synapseml-repo> -- '<module>/testOnly <SuiteName> -- -z "<test filter>"'```If tests fail before compiling project code, load [references/troubleshooting.md](references/troubleshooting.md).## Known-good baselineOn 2026-05-05, this setup was validated with:- JDK: `/usr/lib/jvm/java-11-openjdk-amd64`- Java: `openjdk version "11.0.30"`- SynapseML: Scala `2.12.17`, Spark `3.5.0`, sbt `1.10.11`- Compile: `sbt 'cognitive/Test/compile'` succeeded.- Smoke test: `UDFTransformerSuite` filtered test succeeded.

Frequently asked questions