coops-tdd-auto
coops-tdd-auto是一种自动化测试驱动开发的AI工具
浏览和安装 Killer-Skills 目录中的数千个 AI Agent 技能。支持 Claude Code、Windsurf、Cursor 等。
coops-tdd-auto是一种自动化测试驱动开发的AI工具
Nexus is a toolkit for ratatui, enabling developers to leverage context-driven development and derive skills from existing codebases, enhancing AI coding efficiency.
测试是指验证代码在运行时的行为和类型正确性
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
Master Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.
Master Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.
Master Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.
examine a given development story and decide if it has security value that warrants inclusion in a threat model
This skill should be used when writing unit tests, TDD test cases, test coverage analysis, or test-driven development for NG component Pattern methods (e.g., OnModifyDone, OnDirtyLayoutWrapperSwap). Covers test principles, templates, common pitfalls, branch coverage, API verification, state reset, and mandatory self-checklist for ace_engine testing.
Implements three Bayesian sub-agents for hypothesis-driven development. Use when generating hypotheses, designing experiments, evaluating evidence, performing backwards reasoning from effects to causes, finding conditional variables, verifying results, or creating git worktree schemas. Agent 1 generates hypotheses and schemas; Agent 2 evaluates evidence and creates worktrees; Agent 3 performs backwards probability reasoning to find causes.
Generate and run unit and integration tests using pytest (Python) or Jest (JavaScript) with fixtures, mocks, and async support. Use for test-driven development, code review validation, coverage verification, and regression testing. Target 80%+ code coverage. Supports pytest markers, Jest snapshots, and CI/CD integration. Triggers on test, TDD, unit test, integration test, test coverage, pytest, jest.