android-gradle-build-logic
Android Gradle Build Logic
When To Use
- Use this skill when the request is about: android gradle plugin setup, fix build logic for android modules, version catalog for android repo.
- Primary outcome: Shape Android build logic with Gradle, version catalogs, plugins, convention patterns, and toolchain compatibility.
- Handoff skills when the scope expands:
android-modernization-upgradeandroid-ci-cd-release-playstore
Workflow
- Map the request to the current Android stack, module boundaries, and minimum supported API level.
- Inspect the existing implementation for implicit assumptions, duplicate helpers, and outdated patterns.
- Apply the smallest change that improves correctness, readability, and long-term maintainability.
- Validate the result against the relevant showcase app path and repo benchmarks.
- Hand off adjacent work to the next specialized skill only after the core foundation is stable.
Guardrails
- Prefer official Android and Kotlin guidance over custom local conventions when they conflict.
- Keep public APIs boring and explicit; avoid clever abstractions that hide Android lifecycle costs.
- Do not mix architectural cleanup with product behavior changes unless the request explicitly needs both.
- Document any compatibility constraints that will affect old modules or generated code.
Anti-Patterns
- Sprinkling helpers across modules without a clear ownership boundary.
- Introducing framework-specific code into pure domain or data layers.
- Refactoring every adjacent file when only one contract needed to change.
- Leaving migration notes implied instead of writing them down.
Examples
Happy path
- Scenario: Run the Compose showcase build from a clean checkout with version catalogs.
- Command:
cd examples/orbittasks-compose && ./gradlew :app:assembleDebug
Edge case
- Scenario: Validate shared repositories and plugin management in the XML fixture.
- Command:
cd examples/orbittasks-xml && ./gradlew :app:assembleDebug
Failure recovery
- Scenario: Benchmark build-logic trigger precision against modernization and CI skills.
- Command:
python3 scripts/eval_triggers.py --skill android-gradle-build-logic
Done Checklist
- The implementation path is explicit, minimal, and tied to the right Android surface.
- Relevant example commands and benchmark prompts have been exercised or updated.
- Handoffs to adjacent skills are documented when the request crosses boundaries.
- Official references cover the chosen pattern and the main migration or troubleshooting path.
Official References
More from midudev/autoskills
bun
Use when building, testing, and deploying JavaScript/TypeScript applications. Reach for Bun when you need to run scripts, manage dependencies, bundle code, or test applications with a single unified tool.
13react-hook-form
React Hook Form performance optimization for client-side form validation using useForm, useWatch, useController, and useFieldArray. This skill should be used when building client-side controlled forms with React Hook Form library. This skill does NOT cover React 19 Server Actions, useActionState, or server-side form handling (use react-19 skill for those).
10pydantic
Python data validation using type hints and runtime type checking with Pydantic v2's Rust-powered core for high-performance validation in FastAPI, Django, and configuration management.
9scikit-learn
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
8python-executor
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, trimesh, and 100+ more libraries. Use for: data processing, web scraping, image manipulation, video creation, 3D model processing, PDF generation, API calls, automation scripts. Triggers: python, execute code, run script, web scraping, data analysis, image processing, video editing, 3D models, automation, pandas, matplotlib
8python-background-jobs
Python background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, job queues, long-running operations, or decoupling work from request/response cycles.
8