testing-strategies
Implement robust software testing strategies, including unit, integration, and E2E tests, mocking frameworks, TDD patterns, and best practices for high-quality, reliable code across any stack.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
445 skills found
Implement robust software testing strategies, including unit, integration, and E2E tests, mocking frameworks, TDD patterns, and best practices for high-quality, reliable code across any stack.
Data Analysis Specialist for EDA, statistical modeling, SQL queries, and Python-based visualization. Turn raw datasets into actionable insights through rigorous quantitative methods.
Maintain test suite health by automatically detecting orphaned tests, missing coverage, and implementation-coupled anti-patterns.
Automated quality gate using 5 parallel AI agents to review code changes for correctness, style, and consistency.
Submit completed tasks on OpenAnt via CLI. Handles text reports, file uploads (images, docs, code), and external proof links to ensure verified deliverables.
Provides expert technical guidance for analyzing, parsing, and debugging DWARF format debug information in compiled binaries.
Manage version control with Jujutsu (jj): perform rebasing, conflict resolution, bookmark management, and commit manipulation in your Git-compatible workflow.
Official Mastra framework guide. Master AI agent and workflow development with local documentation lookup, API verification, and TypeScript-based project management.
A robust verification and QA system for software agents featuring real-time truth scoring, automated code validation, and instant rollback capabilities to maintain high reliability.
Systematically trace code flows, locate implementations, diagnose performance issues, and map system architecture to understand complex codebases.
Create robust, scalable, and maintainable technical implementation plans for complex software projects.
Resume a paused experimental loop by restoring branch context, loading configuration, reading history, and identifying optimization patterns for continued iteration.