Explorar skills

Auto-activate for Dockerfile, docker-compose.yml, railway.json, railway.toml, Procfile, cloudbuild.yaml, app.yaml, service.yaml, deploy.sh, systemd units, Kubernetes manifests, Terraform, or granian/litestar run in deployment context. Use when deploying Litestar apps to containers, Railway, Cloud Run, GKE, systemd, or CI/CD release targets. Not for non-Litestar Python apps or build artifact packag

Auto-activate for get_env, dataclass settings, pydantic_settings, BaseSettings, lru_cache settings factories, app.state settings, LITESTAR_APP, env var parsing, or typed app config. Use when defining Litestar settings, config factories, env loading, or settings injection. Not for frontend environment variables or deployment secrets management alone.

Challenges the user's reasoning, assumptions, or proposals — a thinking sparring partner that pokes holes without the full critic workflow. Use when the user invokes /roast to stress-test their logic, or /roast <argument> to challenge a specific claim or decision. Not a review of artefacts — a challenge to thinking.

Auto-activate for Google ADK, LlmAgent, Runner, SQLSpecSessionService, Vertex AI, agent chat endpoints, streaming AI responses, tool-calling endpoints, or Litestar-hosted model workflows. Use when serving AI agents or model-backed workflows from Litestar. Not for offline ML training or non-Litestar agent servers.

Auto-activate for litestar.toml, [tool.litestar], pyproject.toml with a litestar dependency, or app creation with Litestar(). Use when orienting a Litestar project, choosing the right Litestar subskill, or scaffolding app-level structure. Not for focused routing, DTO, auth, DI, data, settings, exceptions, middleware, plugin, realtime, AI, deployment, or testing work - use the narrower skill.

<!-- @include templates/prompts/iron-law.md --> 对指定服务或应用进行性能分析并提出优化方案。 数据库层: ? ?查询、N+1 问题、缺失索引、? ?表扫描 缓存层: 缓存命中率、缓存策略（过期/淘汰）、缓存穿透/击穿/雪崩 接口层: 响应时间、并发处理、连接池? ?置 代码层: 算法复杂度、? 存泄漏、不? 要的序列化/反序列化 加载性能: 首屏时间、资源体积、代码分割、懒加载…

<!-- @include templates/prompts/iron-law.md --> 根据需求文档，生成 UI/UX 设计方案，? 含页面布局、交互流程、组件规范。 须执行，不可跳过） 从用户输? ?中提取功能名称? ?键词 在 docs/01requirements/prd/ 目录下搜索? 含该? ?键词的 PRD 文档 匹? ?新格式：F<日期>-<NN>-<? ?键词>-prd.md 匹?…

Auto-activate for alembic/, alembic.ini, advanced_alchemy imports, SQLAlchemyAsyncRepositoryService, SQLAlchemyAsyncConfig, UUIDAuditBase, repository_type, service_class, or web framework Advanced Alchemy extensions. Use when working with Advanced Alchemy ORM models, repositories, services, Alembic migrations, filters, pagination, framework session wiring, custom types, caching, replicas, or file

<!-- @include templates/prompts/iron-law.md --> 根据 db-design 文档管理数据库迁移脚本，支持生成、执行、回滚和状态查看。 从 $ARGUMENTS 中解析子命令和参数： 执行的迁移 | 执行的迁移 | 如果未提供子命令或子命令无法识别，输出以上帮助信息后停止。 --- generate 和 diff 子命令） 当子命令为 generate 或 diff 时执行： 从用户输?…

Auto-activate for msgspec imports, msgspec.Struct, msgspec.Meta, msgspec.json, msgspec.msgpack, tagged unions, enc_hook, dec_hook, or convert(). Use when defining msgspec models, serialization codecs, validation constraints, discriminated unions, or Litestar DTO data shapes. Not for Pydantic, dataclasses, attrs, or ORM models unless converting at a boundary.

端到端测试（生成或执行 E2E 用例）

Use when you need to diagnose the health of a team-shinchan project setup. Runs 7 deterministic checks (workflow state, hooks config, core scripts, runtime files, test directory) and reports PASS/WARN/FAIL per check with remediation hints.