Desenvolvimento

Deep mock appropriateness analysis for Test Audit pipeline

Create a GitHub issue, commit, tag, and push a release. Detects repo type and runs mode-specific validation checks with user confirmation at every step.

Inicia o servidor WebSocket askdiff para revisão interativa de diferenças.

<!-- @include templates/prompts/iron-law.md --> 对项目代码执行静态分析、风格检查和质量度量，自动修复可安? ?修复的问题，输出结构化报告。 从 $ARGUMENTS 中解析子命令和参数： ?量检查，输出报告（默认子命令） | ?修复的问题 | ?置 lint 工? ?链（检测技术栈，生成? ?置文件） | 目标 可选，支持：服务名、应用名、目录路径、文件路径。不传则检查整个项目。…

Auto-activate for Provide, dependencies=, dependency maps, litestar.di, scoped providers, Dishka FromDishka, Inject, provider modules, or request/session/app scope wiring. Use when wiring Litestar dependencies, service factories, app state dependencies, or external DI integration. Not for plain function parameters or unrelated IoC containers.

代码重构（保持外部行为不变，改善内部结构）

Auto-activate for litestar_saq imports, SAQPlugin, SAQConfig, QueueConfig, TaskQueues, CronJob, litestar workers run, background jobs, scheduled jobs, or SAQ web UI. Use when adding first-party SAQ background work to Litestar. Not for Celery, RQ, Dramatiq, raw SAQ outside Litestar, or custom PostgreSQL-native queues unless explicitly chosen.

Auto-activate for polyfactory imports, ModelFactory, DataclassFactory, MsgspecFactory, AttrsFactory, Use, Fixture, register_fixture, polyfactory.pytest_plugin, __random_seed__, or coverage(). Use when generating typed mock data for tests or pytest fixtures. Not for production seeding or property-based testing.

全自动 PDLC 新功能开发（串联 PRD→设计→TDD→实现→评审→发布）

Generate a personalized reading tour and verified architecture spine for any codebase.

Auto-activate for Provide, dependencies=, dependency maps, litestar.di, scoped providers, Dishka FromDishka, Inject, provider modules, or request/session/app scope wiring. Use when wiring Litestar dependencies, service factories, app state dependencies, or external DI integration. Not for plain function parameters or unrelated IoC containers.

Systematic methodology for issue debugging including root cause analysis, impact mapping, tiered validation plans, and confidence assessment. Use when analyzing bugs, fixing issues, or validating fixes.