gradle-build-performance
Caches configuration phase across builds (AGP 8.0+):
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Installation Guide
How to use gradle-build-performance on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
gradle-build-performance
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches gradle-build-performance from new-silvermoon/awesome-android-agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate gradle-build-performance. Access via /gradle-build-performance in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
Gradle Build Performance
When to Use
- Build times are slow (clean or incremental)
- Investigating build performance regressions
- Analyzing Gradle Build Scans
- Identifying configuration vs execution bottlenecks
- Optimizing CI/CD build times
- Enabling Gradle Configuration Cache
- Reducing unnecessary recompilation
- Debugging kapt/KSP annotation processing
Example Prompts
- "My builds are slow, how can I speed them up?"
- "How do I analyze a Gradle build scan?"
- "Why is configuration taking so long?"
- "Why does my project always recompile everything?"
- "How do I enable configuration cache?"
- "Why is kapt so slow?"
Workflow
- Measure Baseline — Clean build + incremental build times
- Generate Build Scan —
./gradlew assembleDebug --scan - Identify Phase — Configuration? Execution? Dependency resolution?
- Apply ONE optimization — Don't batch changes
- Measure Improvement — Compare against baseline
- Verify in Build Scan — Visual confirmation
Quick Diagnostics
Generate Build Scan
./gradlew assembleDebug --scan
Profile Build Locally
./gradlew assembleDebug --profile
# Opens report in build/reports/profile/
Build Timing Summary
./gradlew assembleDebug --info | grep -E "^\:.*"
# Or view in Android Studio: Build > Analyze APK Build
Build Phases
| Phase | What Happens | Common Issues |
|---|---|---|
| Initialization | settings.gradle.kts evaluated |
Too many include() statements |
| Configuration | All build.gradle.kts files evaluated |
Expensive plugins, eager task creation |
| Execution | Tasks run based on inputs/outputs | Cache misses, non-incremental tasks |
Identify the Bottleneck
Build scan → Performance → Build timeline
- Long configuration phase: Focus on plugin and buildscript optimization
- Long execution phase: Focus on task caching and parallelization
- Dependency resolution slow: Focus on repository configuration
12 Optimization Patterns
1. Enable Configuration Cache
Caches configuration phase across builds (AGP 8.0+):
# gradle.properties
org.gradle.configuration-cache=true
org.gradle.configuration-cache.problems=warn
2. Enable Build Cache
Reuses task outputs across builds and machines:
# gradle.properties
org.gradle.caching=true
3. Enable Parallel Execution
Build independent modules simultaneously:
# gradle.properties
org.gradle.parallel=true
4. Increase JVM Heap
Allocate more memory for large projects:
# gradle.properties
org.gradle.jvmargs=-Xmx4g -XX:+UseParallelGC
5. Use Non-Transitive R Classes
Reduces R class size and compilation (AGP 8.0+ default):
# gradle.properties
android.nonTransitiveRClass=true
6. Migrate kapt to KSP
KSP is 2x faster than kapt for Kotlin:
// Before (slow)
kapt("com.google.dagger:hilt-compiler:2.51.1")
// After (fast)
ksp("com.google.dagger:hilt-compiler:2.51.1")
7. Avoid Dynamic Dependencies
Pin dependency versions:
// BAD: Forces resolution every build
implementation("com.example:lib:+")
implementation("com.example:lib:1.0.+")
// GOOD: Fixed version
implementation("com.example:lib:1.2.3")
8. Optimize Repository Order
Put most-used repositories first:
// settings.gradle.kts
dependencyResolutionManagement {
repositories {
google() // First: Android dependencies
mavenCentral() // Second: Most libraries
// Third-party repos last
}
}
9. Use includeBuild for Local Modules
Composite builds are faster than project() for large monorepos:
// settings.gradle.kts
includeBuild("shared-library") {
dependencySubstitution {
substitute(module("com.example:shared")).using(project(":"))
}
}
10. Enable Incremental Annotation Processing
# gradle.properties
kapt.incremental.apt=true
kapt.use.worker.api=true
11. Avoid Configuration-Time I/O
Don't read files or make network calls during configuration:
// BAD: Runs during configuration
val version = file("version.txt").readText()
// GOOD: Defer to execution
val version = providers.fileContents(file("version.txt")).asText
12. Use Lazy Task Configuration
Avoid create(), use register():
// BAD: Eagerly configured
tasks.create("myTask") { ... }
// GOOD: Lazily configured
tasks.register("myTask") { ... }
Common Bottleneck Analysis
Slow Configuration Phase
Symptoms: Build scan shows long "Configuring build" time
Causes & Fixes:
| Cause | Fix |
|---|---|
| Eager task creation | Use tasks.register() instead of tasks.create() |
| buildSrc with many dependencies | Migrate to Convention Plugins with includeBuild |
| File I/O in build scripts | Use providers.fileContents() |
| Network calls in plugins | Cache results or use offline mode |
Slow Compilation
Symptoms: :app:compileDebugKotlin takes too long
Causes & Fixes:
| Cause | Fix |
|---|---|
| Non-incremental changes | Avoid build.gradle.kts changes that invalidate cache |
| Large modules | Break into smaller feature modules |
| Excessive kapt usage | Migrate to KSP |
| Kotlin compiler memory | Increase kotlin.daemon.jvmargs |
Cache Misses
Symptoms: Tasks always rerun despite no changes
Causes & Fixes:
| Cause | Fix |
|---|---|
| Unstable task inputs | Use @PathSensitive, @NormalizeLineEndings |
| Absolute paths in outputs | Use relative paths |
Missing @CacheableTask |
Add annotation to custom tasks |
| Different JDK versions | Standardize JDK across environments |
CI/CD Optimizations
Remote Build Cache
// settings.gradle.kts
buildCache {
local { isEnabled = true }
remote<HttpBuildCache> {
url = uri("https://cache.example.com/")
isPush = System.getenv("CI") == "true"
credentials {
username = System.getenv("CACHE_USER")
password = System.getenv("CACHE_PASS")
}
}
}
Gradle Enterprise / Develocity
For advanced build analytics:
// settings.gradle.kts
plugins {
id("com.gradle.develocity") version "3.17"
}
develocity {
buildScan {
termsOfUseUrl.set("https://gradle.com/help/legal-terms-of-use")
termsOfUseAgree.set("yes")
publishing.onlyIf { System.getenv("CI") != null }
}
}
Skip Unnecessary Tasks in CI
# Skip tests for UI-only changes
./gradlew assembleDebug -x test -x lint
# Only run affected module tests
./gradlew :feature:login:test
Android Studio Settings
File → Settings → Build → Gradle
- Gradle JDK: Match your project's JDK
- Build and run using: Gradle (not IntelliJ)
- Run tests using: Gradle
File → Settings → Build → Compiler
- Compile independent modules in parallel: ✅ Enabled
- Configure on demand: ❌ Disabled (deprecated)
Verification Checklist
After optimizations, verify:
- Configuration cache enabled and working
- Build cache hit rate > 80% (check build scan)
- No dynamic dependency versions
- KSP used instead of kapt where possible
- Parallel execution enabled
- JVM memory tuned appropriately
- CI remote cache configured
- No configuration-time I/O
References
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Reviews
- PPratham Ware★★★★★Dec 24, 2024
gradle-build-performance has been reliable in day-to-day use. Documentation quality is above average for community skills.
- HHana Kim★★★★★Dec 12, 2024
gradle-build-performance has been reliable in day-to-day use. Documentation quality is above average for community skills.
- CChinedu Agarwal★★★★★Dec 8, 2024
Useful defaults in gradle-build-performance — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- OOmar Rao★★★★★Nov 27, 2024
We added gradle-build-performance from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- SSakshi Patil★★★★★Nov 15, 2024
Solid pick for teams standardizing on skills: gradle-build-performance is focused, and the summary matches what you get after install.
- HHenry Diallo★★★★★Nov 3, 2024
Solid pick for teams standardizing on skills: gradle-build-performance is focused, and the summary matches what you get after install.
- LLucas Flores★★★★★Oct 18, 2024
Solid pick for teams standardizing on skills: gradle-build-performance is focused, and the summary matches what you get after install.
- CChaitanya Patil★★★★★Oct 6, 2024
We added gradle-build-performance from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- OOshnikdeep★★★★★Sep 17, 2024
gradle-build-performance reduced setup friction for our internal harness; good balance of opinion and flexibility.
- HHana Park★★★★★Sep 13, 2024
Solid pick for teams standardizing on skills: gradle-build-performance is focused, and the summary matches what you get after install.
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