Use when you need to apply testing strategies for Java code — RIGHT-BICEP to guide test creation, A-TRIP for test quality characteristics, or CORRECT for verifying boundary conditions. This should trigger for requests such as Review Java code for testing strategies; Apply RIGHT-BICEP testing strategies in Java code; Apply A-TRIP testing strategies in Java code; Apply CORRECT boundary condition verification in Java code. Part of Plinth Toolkit
npx skills add https://github.com/jabrena/plinth --skill 130-java-testing-strategies
Apply proven testing strategies (RIGHT-BICEP, A-TRIP, CORRECT) to design and verify Java unit tests.
What is covered in this Skill?
Before applying any test strategy changes, ensure the project compiles. If compilation fails, stop immediately — do not proceed until resolved. After applying improvements, run full verification.
./mvnw compile or mvn compile before applying any change./mvnw clean verify or mvn clean verify after applying improvementsreferences/130-java-testing-strategies-right-bicep.md by defaultreferences/130-java-testing-strategies-a-trip.md by defaultreferences/130-java-testing-strategies-correct.md by defaultRun ./mvnw compile or mvn compile and stop immediately if compilation fails.
Route the request before reading references:
references/130-java-testing-strategies-right-bicep.md when the request asks what to test, which behavior is missing, whether assertions prove the right result, how to force errors, how to cross-check, or how to add performance guardrails.references/130-java-testing-strategies-a-trip.md when the request asks why tests are flaky, brittle, manual, slow to run locally, order-dependent, shared-state dependent, unclear, or hard to maintain.references/130-java-testing-strategies-correct.md when the request asks for boundary-condition review, CORRECT analysis, invalid input handling, conformance, ordering, range, external reference, existence, cardinality, or time cases.Do not require unrelated references for a narrow request unless the user's concern crosses technique boundaries.
Improve or add tests using the selected technique: produce a RIGHT-BICEP gap matrix for missing behavior coverage, an A-TRIP quality finding list for test reliability and maintainability issues, a CORRECT boundary checklist for boundary reviews, or all three sections for broad reviews.
Run ./mvnw clean verify or mvn clean verify after applying improvements.
For detailed guidance, examples, and constraints, see:
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when implementing any feature or bugfix, before writing implementation code
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
Take jabrena/130-java-testing-strategies from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.