agentleFS
KotlinKotlin/kotlin-agent-skills/skills/kotlin-tooling-native-build-performance/SKILL.md

kotlin-tooling-native-build-performance

Skill1.1k starsChanged 16 days agoApache-2.0View on GitHub

Diagnoses and fixes slow Kotlin/Native compilation and linking in Kotlin Multiplatform projects that target iOS. Use when the user reports slow iOS or shared-framework builds, long linkDebug*/linkRelease* or XCFramework tasks, cold CI builds that re-download the Kotlin/Native toolchain, KSP or other generated code on the native path, transitiveExport usage, or asks for a local-development versus CI build performance plan.

Adopted by

Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data

Week of Sep 13: 0 new projectsWeek of Sep 20: 0 new projectsWeek of Sep 27: 0 new projectsWeek of Oct 4: 0 new projectsWeek of Oct 11: 0 new projectsWeek of Oct 18: 0 new projectsWeek of Oct 25: 0 new projectsWeek of Nov 1: 0 new projects
Sep 2026Oct 2026Nov 2026
New projects taking a version of this file each week, over the 8 weeks our latest run read: only 0 in all, so this is a hint, not a trend.

Who's talking about Kotlin/kotlin-agent-skills

The biggest 5 of 50 mentions linking to the repository that our crawl found. Each line is their own headline.

See all 50

Talked about on GitHub, Bluesky and Hacker News (50 times).

On GitHub · 46

41 more on GitHub

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Never trade away required release behavior.

    line 23
  2. Distinctive:

    Run the static audit from the project root:

    line 47
  3. Distinctive:

    Run it twice when practical.

    line 60
  4. Distinctive:

    If you cannot run the build (no macOS host, no Xcode), analyze logs, build scans, or checked-in metrics instead — and state explicitly that …

    line 69

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Kotlin/Native Build Performance

Turn "the iOS build is slow" into a measured diagnosis and a small set of safe fixes. Two rules apply throughout:

  1. Never trade away required release behavior. A faster local loop must not change what CI publishes.
  2. Measure before and after with the same command and the same build state. An unmeasured fix is a guess.

Step 0: Classify the Slow Scenario

Establish four facts before editing anything: where (local or CI), what (debug feedback loop or release/distribution artifact), state (first build, clean, warm, or no-op), and phase (which tasks dominate the log). Then match the dominant symptom:

Symptom in the build logLikely causeRead
linkRelease* or *ReleaseXCFramework tasks in a local development loopBuilding distribution artifacts for developmentartifacts-and-targets
Kotlin/Native compiler distribution downloaded on every CI run~/.konan not preserved between runscaching-and-gradle
Long pause before the first task startsConfiguration phase, no configuration cachecaching-and-gradle
All iOS targets build when only one simulator is neededBroad task (build, assemble, assemble*XCFramework) or unused targetsartifacts-and-targets
ksp* tasks ahead of compileKotlinIos*Generated-code work on the native pathexports-and-generated-code
Small source edit recompiles and relinks everythingCompiler caches disabled, or missing incrementalitycaching-and-gradle, experimental
Machine overloaded while several link* tasks run at onceParallel native linkingcaching-and-gradle, worker-limit caveat

Step 1: Audit and Measure

  1. Run the static audit from the project root:

    scripts/audit-native-build.sh /path/to/project

    It is read-only and prints file:line findings (disabled caches, broad local tasks, transitiveExport, broad KSP configuration, missing CI .konan cache), each pointing at the reference file with the fix. Findings are leads, not verdicts — confirm each against project policy.

  2. Find the command the user actually waits for: a script, a CI step, or the Gradle invocation inside an Xcode build phase. Optimize that command, not a task you picked yourself.
  3. Run it twice when practical. The first build downloads Kotlin/Native components and fills caches; only the second and later runs are representative. Attribute time per task before blaming the compiler:

    kotlin.build.report.output=file   # writes build/reports/kotlin-build/

    Gradle's --scan or --profile work too.

  4. If you cannot run the build (no macOS host, no Xcode), analyze logs, build scans, or checked-in metrics instead — and state explicitly that the conclusion is static.

Step 2: Fix in Safe Order

Apply fixes one at a time, re-measuring as you go:

  1. Restore healthy defaults — remove cache/daemon workarounds, enable Gradle build and configuration caches, keep ~/.konan warm in CI, update Kotlin: references/caching-and-gradle.md
  2. Build only what the feedback loop needs — one specific task per loop, correct integration method, justified target matrix: references/artifacts-and-targets.md
  3. Cut export and generated-code cost — drop transitiveExport, narrow export(...), scope KSP work to the native compilations that need it: references/exports-and-generated-code.md
  4. Experimental switches last, with the user's agreement: references/experimental.md

Worked Example

A developer on an Apple Silicon Mac complains that "every shared-module change costs 12 minutes". Their loop runs ./gradlew :shared:assembleXCFramework. A build scan of the second (warm) run shows:

:shared:linkReleaseFrameworkIosArm64             348s
:shared:linkReleaseFrameworkIosX64               341s
:shared:compileKotlinIosX64                       96s
:shared:linkDebugFrameworkIosSimulatorArm64       41s
:shared:compileKotlinIosSimulatorArm64            38s
configuration phase                               64s

Reasoning chain:

  • The loop is local + debug + warm, but ~690s goes to linkRelease* — release linking is an order of magnitude slower than debug and only CI needs it. Replace the local command with :shared:linkDebugFrameworkIosSimulatorArm64 (or the Xcode embed task if Xcode drives the build). (artifacts-and-targets)
  • All iosX64 work serves Intel simulators; ask whether the team still supports them before removing the target. (artifacts-and-targets)
  • 64s of configuration on every run disappears behind org.gradle.configuration-cache=true once trialed. (caching-and-gradle)
  • Expected loop after the change: ~40s compile + ~40s link on warm builds — confirm by re-running the new command twice and comparing.
  • CI keeps assembleXCFramework untouched; note that explicitly in the report.

Verify

  • Re-run the exact baseline command; compare warm build against warm build, not warm against cold.
  • Second run with the configuration cache reports it is being reused.
  • The local development log no longer contains linkRelease*, *ReleaseXCFramework, or removed generator tasks.
  • CI still produces every required release artifact, unchanged.
  • Tests pass and the app still runs from Xcode.
  • scripts/audit-native-build.sh reports no findings you have not consciously accepted and documented.

Report Your Changes

Close with a short performance note:

  • The slow scenario (local/CI, debug/release, cold/warm) and the measured evidence — or a statement that the analysis was static.
  • Each change, and why it is safe for release behavior.
  • The before/after commands the user can run to confirm the win.
  • Remaining tradeoffs: experimental flags enabled, targets removed under a policy assumption, worker limits, or generated-code work deferred.
  • Links to the relevant official documentation below.

Official Documentation

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.