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No Bare Casts

OrganizationPopular
prisma
no-bare-casts

Writing `as` in TypeScript or TSX production code, modifying a file that contains a bare `as` cast, silencing a type error with a cast, encountering `as unknown as`, or reviewing a cast site.

Overview

Publisherprisma
Repositoryorm
Skill nameno-bare-casts
Stars
47.6K
Forks
2.5K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by prisma on GitHub. Read the source before you install it.

Installation

Install the No Bare Casts AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/prisma/orm.git /tmp/orm
mkdir -p .claude/skills
cp -r /tmp/orm/skills-contrib/no-bare-casts .claude/skills/no-bare-casts
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable No Bare Casts in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads No Bare Casts on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so No Bare Casts is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

No bare as casts

Any bare as in production TypeScript is a signal to stop and work through the decision tree below. Test files (*.test.ts, *.test-d.ts, test/**/*.ts) are exempt — tests use as for stubbing and type assertions and that's fine.

Decision tree

Work through these in order before writing or keeping a cast:

  1. Tighten the input type. Can the parameter, generic bound, or return type at the source be made more specific so the cast is unnecessary?
  2. Add a runtime check. Can a type predicate (function isUser(x): x is User) narrow the type at runtime, eliminating the cast?
  3. Restructure a generic. Can a bound or constraint carry the needed information, making the cast unnecessary?
  4. Use satisfies. expr satisfies T checks the type without coercing it and is unaffected by this rule. Prefer it when you want a type-check, not a coercion.
  5. Use castAs<T>(value). When the value already satisfies T and the assertion is purely declarative, castAs is the right form.
  6. Only if none of the above: use blindCast<T, "Reason">(value). The Reason literal must name the specific compromise in language a reviewer can evaluate.

Import

typescript
import { blindCast, castAs } from '@internal/utils/casts';

Helper signatures

typescript
// Escape hatch — the value is genuinely opaque or unrelated to the target type.
// The Reason literal documents the compromise; the reviewer evaluates it.
function blindCast<TargetType, Reason extends string>(input: unknown): TargetType

// Declarative assertion — the value already satisfies T at runtime.
function castAs<T>(value: T): T

The Reason bar

blindCast is the auditable escape hatch of last resort — not a convenience wrapper. Reach for it only after the decision tree above has been exhausted. The second type argument must be a string literal that a reviewer can act on:

typescript
// ✅  Names the specific constraint
blindCast<User, "deserialized from contract validator; shape has already been checked">(raw)

// ❌  Adds no information — reviewer has nothing to evaluate
blindCast<User, "trust me">(raw)

A vague reason is the reviewer's signal to push back and the author's signal to revisit the type design.

"Convert when you touch"

When you touch a file that contains a bare as cast — even as part of unrelated work — convert it to one of the accepted forms or eliminate it. The CI ratchet (pnpm lint:casts) rejects per-PR cast-count increases; converting on contact is how the total comes down over time.

Frequently asked questions

What does the No Bare Casts AI skill do?

Writing `as` in TypeScript or TSX production code, modifying a file that contains a bare `as` cast, silencing a type error with a cast, encountering `as unknown as`, or reviewing a cast site.

Why use No Bare Casts on TypingMind?

Because you install it once and use it with any model. No Bare Casts is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install No Bare Casts in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/prisma/orm/tree/main/skills-contrib/no-bare-casts. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use No Bare Casts?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with No Bare Casts?

As many as you like. As long as a model supports skills, you can use No Bare Casts with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the No Bare Casts AI skill free?

Yes. It is published on GitHub by prisma under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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