migrate-to-shoehorn
Skill27 starsChanged 3 months agoMITView on GitHub
将测试文件中的 `as` 类型断言迁移到 @total-typescript/shoehorn。当用户提到 shoehorn、想替换测试中的 `as`,或需要部分测试数据时使用。
- Installs packages
Files
迁移到 Shoehorn
为什么用 shoehorn?
shoehorn 让你在测试中传入部分数据,同时让 TypeScript 满意。它用类型安全的替代方案取代 as 断言。
仅限测试代码。 永远不要在生产代码中使用 shoehorn。
在测试中使用 as 的问题:
- 被训练成不要使用它
- 必须手动指定目标类型
- 对于故意错误的数据需要双重 as(
as unknown as Type)
安装
npm i @total-typescript/shoehorn迁移模式
只需要少数属性的大对象
之前:
type Request = {
body: { id: string };
headers: Record<string, string>;
cookies: Record<string, string>;
// ...还有 20 多个属性
};
it("gets user by id", () => {
// 只关心 body.id,但必须伪造整个 Request
getUser({
body: { id: "123" },
headers: {},
cookies: {},
// ...伪造全部 20 个属性
});
});之后:
import { fromPartial } from "@total-typescript/shoehorn";
it("gets user by id", () => {
getUser(
fromPartial({
body: { id: "123" },
}),
);
});as Type → fromPartial()
之前:
getUser({ body: { id: "123" } } as Request);之后:
import { fromPartial } from "@total-typescript/shoehorn";
getUser(fromPartial({ body: { id: "123" } }));as unknown as Type → fromAny()
之前:
getUser({ body: { id: 123 } } as unknown as Request); // 故意用错误的类型之后:
import { fromAny } from "@total-typescript/shoehorn";
getUser(fromAny({ body: { id: 123 } }));各函数何时使用
| 函数 | 使用场景 |
fromPartial() | 传入仍能通过类型检查的部分数据 |
fromAny() | 传入故意错误的数据(保留自动补全) |
fromExact() | 强制要求完整对象(之后可换成 fromPartial) |
工作流程
- 收集需求 —— 询问用户:
- 哪些测试文件里的
as断言造成了问题? - 它们是否在处理只有部分属性重要的大对象?
- 是否需要传入故意错误的数据来做错误测试?
- 哪些测试文件里的
- 安装并迁移:
- 安装:
npm i @total-typescript/shoehorn - 找出带
as断言的测试文件:grep -r " as [A-Z]" --include="*.test.ts" --include="*.spec.ts" - 将
as Type替换为fromPartial() - 将
as unknown as Type替换为fromAny() - 添加来自
@total-typescript/shoehorn的导入 - 运行类型检查以验证
- 安装:
Other versions84 projects use a version of this.
Word for word · 0
None found.
Edited · 83
- mattpocock/skills★ 309k18% same
- vinvcn/mattpocock-skills-zh-CN★ 5.5k26% same
- devcxl/mattpocock-skills-zh★ 52245% same
- mxyhi/ok-skills★ 50918% same
- amazingloft999-droid/mattpocock-skills★ 42218% same
- InditexTech/weavejs★ 26618% same
- loulanyue/skills★ 23118% same
- tt-a1i/matt-skills-with-to-goal★ 19218% same
- aurorasoft2/Matt_Pocock_Skills★ 13318% same
- VisualxIntelligence/mattpocok-skills★ 5518% same
73 more not listed
Wrote their own version · 1
- imMamdouhaboammar/matts-skills-into-chatgpt★ 8same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use ubiquitous-language, batch-grill-me and 1 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
kennethkeimSkillubiquitous-language
Extract a DDD-style ubiquitous language glossary from the current conversation, flagging ambiguities and proposing canonical terms. Saves to UBIQUITOUS_LANGUAGE.md. Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions "domain model" or "DDD".
Also in 31 projects that use this
boyingliu01Skillbatch-grill-me
A relentless interview that asks every frontier question at once, round by round. Thin alias of `grilling` (#540) — upstream mattpocock/skills absorbed this protocol into grilling; XP-Gate keeps this name as the sprint-flow Phase 2 entry point so orchestration docs stay stable.
Also in 6 projects that use this
FabienDehopreSkilldecision-mapping
Turn a loose idea into a sequenced map of investigation tickets, then drive them to resolution one at a time.
Also in 4 projects that use this
In this repository36 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- ask-mattSkill
- codebase-designSkill
- code-reviewSkill
- diagnosing-bugsSkill
- domain-modelingSkill
- grill-with-docsSkill
- implementSkill
- improve-codebase-architectureSkill
- prototypeSkill
- researchSkill
- resolving-merge-conflictsSkill
- setup-matt-pocock-skillsSkill
- tddSkill
- to-specSkill
- to-ticketsSkill
- triageSkill
- wayfinderSkill
- wizardSkill
- claude-handoffSkill
- loop-meSkill
- setup-ts-deep-modulesSkill
- writing-beatsSkill
- writing-fragmentsSkill
- writing-shapeSkill
- git-guardrails-claude-codeSkill
- scaffold-exercisesSkill
- setup-pre-commitSkill
- grillingSkill
- grill-meSkill
- handoffSkill
- teachSkill
- to-questionnaireSkill
- wait-whatSkill
- writing-for-agentsSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

