By secondsky
Run mutation testing with Stryker on TypeScript/JavaScript projects using Vitest or bun test, and mutmut on Python projects to identify weak unit tests that pass despite code mutations, improving test suite quality and effectiveness.
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npx claudepluginhub secondsky/claude-skills --plugin mutation-testingMutation testing to validate test quality by introducing code changes and verifying tests catch them
Mutation testing to measure test suite quality
Detect test smells, overmocking, flaky tests, and coverage issues. Analyze test effectiveness, maintainability, and reliability. Use when reviewing tests or improving test quality.
Configures mewt or muton mutation testing campaigns — scopes targets, tunes timeouts, and optimizes long-running runs. Use when the user mentions mewt, muton, mutation testing, or wants to configure or optimize a mutation testing campaign.
Use this agent when code changes have been made and you need to write new tests, run existing tests, analyze failures, and fix them while maintaining test integrity. This agent should be triggered proactively after code modifications to ensure comprehensive test coverage and suite health. Examples:\n\n<example>\nContext: The user has just implemented a new feature or modified existing code.\nuser: "I've updated the user authentication logic to support OAuth"\nassistant: "I've successfully updated the authentication logic. Now let me run the test-writer-fixer agent to ensure all tests pass with these changes."\n<commentary>\nSince code changes were made, use the Task tool to launch the test-writer-fixer agent to run relevant tests and fix any failures.\n</commentary>\n</example>\n\n<example>\nContext: The user has refactored a module or changed function signatures.\nuser: "Please refactor this payment processing module to use async/await"\nassistant: "I've completed the refactoring to use async/await throughout the payment module."\n<function call omitted for brevity>\nassistant: "Now I'll use the test-writer-fixer agent to run the tests and fix any issues caused by the refactoring."\n<commentary>\nAfter refactoring code, proactively use the test-writer-fixer agent to ensure tests still pass.\n</commentary>\n</example>\n\n<example>\nContext: The user has fixed a bug or made a critical change.\nuser: "Fix the race condition in the data synchronization service"\nassistant: "I've identified and fixed the race condition by implementing proper locking mechanisms."\n<function call omitted for brevity>\nassistant: "Let me run the test-writer-fixer agent to verify the fix doesn't break existing functionality."\n<commentary>\nAfter bug fixes, use the test-writer-fixer agent to ensure the fix works and doesn't introduce regressions.\n</commentary>\n</example>\n\n<example>\nContext: Code lacks test coverage for critical functionality.\nuser: "Our payment processing module has no tests"\nassistant: "That's a critical gap. Let me use the test-writer-fixer agent to create comprehensive tests for the payment module including edge cases and error scenarios."\n<commentary>\nCritical modules without tests are high-risk areas that need immediate test coverage.\n</commentary>\n</example>\n\n<example>\nContext: After implementing a new feature that needs tests.\nuser: "I've added the social sharing functionality"\nassistant: "Great! The social sharing is implemented. Now let me use the test-writer-fixer agent to write tests that ensure this feature works correctly across different platforms."\n<commentary>\nNew features should always include comprehensive test coverage from the start.\n</commentary>\n</example>
Test execution, TDD workflow, testing strategies, and quality analysis
This skill provides comprehensive guidance for SAP BTP Job Scheduling Service development, configuration, and operations. It should be used when creating, managing, or troubleshooting scheduled jobs on SAP Business Technology Platform. The skill covers service setup, REST API usage, schedule types and formats, OAuth 2.0 authentication, multitenancy, Cloud Foundry tasks, Kyma runtime integration, and monitoring with SAP Cloud ALM and Alert Notification Service. Keywords: SAP BTP, Job Scheduling, jobscheduler, cron, schedule, recurring jobs, one-time jobs, Cloud Foundry tasks, CF tasks, Kyma, OAuth 2.0, XSUAA, @sap/jobs-client, REST API, asynchronous jobs, action endpoint, run logs, SAP Cloud ALM, Alert Notification Service, multitenancy, tenant-aware, BC-CP-CF-JBS
Production-ready SAP BTP best practices for enterprise architecture, account management, security, and operations. Use when planning BTP implementations, setting up account hierarchies, configuring environments, implementing authentication, designing CI/CD pipelines, establishing governance, building Platform Engineering teams, implementing failover strategies, or managing application lifecycle on SAP BTP. Keywords: SAP BTP, account hierarchy, global account, directory, subaccount, Cloud Foundry, Kyma, ABAP, SAP Identity Authentication, CI/CD, governance, Platform Engineering, failover, multi-region, SAP BTP best practices
Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. Use when: deploying generative AI models (GPT, Llama, Gemini, Mistral), building orchestration workflows with templating/filtering/grounding, implementing RAG with vector databases, managing ML training pipelines with Argo Workflows, configuring content filtering and data masking for PII protection, using the Generative AI Hub for prompt experimentation, or integrating AI capabilities into SAP applications. Covers service plans (Free/Standard/Extended), model providers (Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, IBM), orchestration modules, embeddings, tool calling, and structured outputs.
SAP BTP Cloud Integration Automation Service (CIAS) skill for guided integration workflows. Use when: setting up CIAS subscriptions, configuring destinations, assigning roles (CIASIntegrationAdministrator, CIASIntegrationExpert, CIASIntegrationMonitor), planning integration scenarios, working with My Inbox tasks, monitoring scenario execution, troubleshooting CIAS errors, creating OAuth2 instances, configuring identity providers for CIAS, understanding CIAS security architecture, or integrating SAP products (S/4HANA, SuccessFactors, BTP services, SAP Build, IBP).
SAP HANA Machine Learning Python Client (hana-ml) development skill. Use when: Building ML solutions with SAP HANA's in-database machine learning using Python hana-ml library for PAL/APL algorithms, DataFrame operations, AutoML, model persistence, and visualization. Keywords: hana-ml, SAP HANA, machine learning, PAL, APL, predictive analytics, HANA DataFrame, ConnectionContext, classification, regression, clustering, time series, ARIMA, gradient boosting, AutoML, SHAP, model storage