菜单
Design the smallest effective set of tests for a change, then generate them in the project's style. Use when: fixing bugs, adding features, preventing regressions, or improving weak test coverage across web, JVM, Python, and native codebases.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Review AI-generated code changes for unintended consequences, logic errors, UI inconsistencies, and context-specific issues. Use when: code has just been modified, flag potential bugs, verify UI consistency, check implementation correctness against project patterns.
Comprehensive research assistant that synthesizes information from multiple sources with citations. Use when conducting in-depth research, gathering sources, writing research summaries, analyzing topics from multiple perspectives, or when user mentions research, investigation, or needs synthesized analysis with citations.
Turn a feature request, issue, or rough spec into a safe implementation plan for an existing codebase. Use when: planning a new feature, scoping impacted files, evaluating trade-offs, or deciding rollout steps before coding.
Turn small ideas into fully-fledged projects through structured discovery, research, and specification. Use when: starting a new project from a rough idea, need to validate feasibility, want to create comprehensive project documentation, exploring feature requirements and design patterns. Conversational, adaptive workflow.
Find the actual cause of bugs, failures, flaky tests, and regressions before proposing a fix. Use when: debugging runtime errors, CI failures, broken features, inconsistent behavior, or production incidents.
Review code and architecture for security risks, then harden the implementation without unnecessary complexity. Use when: checking auth flows, input validation, secrets, dependency risk, unsafe file or network access, or preparing a project for release.
| name | test-strategy-and-generation |
| description | Design the smallest effective set of tests for a change, then generate them in the project's style. Use when: fixing bugs, adding features, preventing regressions, or improving weak test coverage across web, JVM, Python, and native codebases. |
| argument-hint | Describe the change, bug, or code path that needs test coverage |
| user-invocable | true |
| disable-model-invocation | false |
Good testing is selective. Do not maximize test count. Choose the smallest set of tests that proves the behavior, guards the highest-risk paths, and matches the codebase's testing style.
Prefer stable tests around contracts and behavior over tests that mirror implementation details.
Use workflow.md for the full test-selection flow and stack-specific guidance.
Deliver:
/test-strategy-and-generation -> "Add regression tests for this pagination bug"/test-strategy-and-generation -> "What tests should back this new Spring service flow?"/test-strategy-and-generation -> "Generate the right pytest coverage for this upload endpoint"See EXAMPLES.md for example test-boundary choices, case selection, and output formats.