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Bun Macros

Community
secondsky
bun-macros

Evaluate JavaScript at bundle time and inline results. Use when optimizing compile-time code generation, embedding files, inlining environment variables, or executing code during the bundling process.

Overview

Publishersecondsky
Repositoryclaude-skills
Skill namebun-macros
Stars
219
Forks
31
Bundled files
Instructions only
LicenseMIT
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 secondsky on GitHub. Read the source before you install it.

Installation

Install the Bun Macros 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/secondsky/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/plugins/bun/skills/bun-macros .claude/skills/bun-macros
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bun Macros 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 Bun Macros 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 Bun Macros 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.

Bun Macros

Bun macros run JavaScript at bundle time and inline the results into the output.

Quick Start

typescript
// src/config.ts (macro file)
export function getVersion() {
  return "1.0.0";
}

export function getBuildTime() {
  return new Date().toISOString();
}

// src/index.ts (consumer)
import { getVersion, getBuildTime } from "./config" with { type: "macro" };

// At bundle time, these become:
const version = "1.0.0";
const buildTime = "2024-01-15T12:00:00.000Z";

Macro Syntax

typescript
// Import with macro attribute
import { fn } from "./macro-file" with { type: "macro" };

// Call the macro (evaluated at build time)
const result = fn();

Common Use Cases

Environment Inlining

typescript
// macros/env.ts
export function env(key: string): string {
  return process.env[key] ?? "";
}

// src/index.ts
import { env } from "./macros/env" with { type: "macro" };

const apiUrl = env("API_URL");
// Becomes: const apiUrl = "https://api.example.com";

Git Information

typescript
// macros/git.ts
export function gitCommit(): string {
  return Bun.spawnSync(["git", "rev-parse", "HEAD"])
    .stdout.toString().trim();
}

export function gitBranch(): string {
  return Bun.spawnSync(["git", "branch", "--show-current"])
    .stdout.toString().trim();
}

// src/index.ts
import { gitCommit, gitBranch } from "./macros/git" with { type: "macro" };

const BUILD_INFO = {
  commit: gitCommit(),
  branch: gitBranch(),
};
// Inlined at build time

File Embedding

typescript
// macros/embed.ts
export function embedFile(path: string): string {
  return Bun.file(path).text();
}

export function embedJSON(path: string): unknown {
  return Bun.file(path).json();
}

// src/index.ts
import { embedFile, embedJSON } from "./macros/embed" with { type: "macro" };

const license = embedFile("./LICENSE");
const config = embedJSON("./config.json");

Build Constants

typescript
// macros/constants.ts
export function isDev(): boolean {
  return process.env.NODE_ENV !== "production";
}

export function buildDate(): number {
  return Date.now();
}

export function randomId(): string {
  return Math.random().toString(36).slice(2);
}

// src/index.ts
import { isDev, buildDate, randomId } from "./macros/constants" with { type: "macro" };

if (isDev()) {
  console.log("Development mode");
}

const BUILD_ID = randomId();

Directory Listing

typescript
// macros/files.ts
import { readdirSync } from "fs";

export function listRoutes(): string[] {
  return readdirSync("./src/routes")
    .filter(f => f.endsWith(".tsx"))
    .map(f => f.replace(".tsx", ""));
}

// src/router.ts
import { listRoutes } from "./macros/files" with { type: "macro" };

const routes = listRoutes();
// Becomes: const routes = ["home", "about", "users"];

Code Generation

typescript
// macros/codegen.ts
export function generateTypes(schema: string): string {
  // Parse schema and generate types at build time
  const types = parseSchemaToTypes(schema);
  return types;
}

export function generateAPI(spec: string): string {
  const openapi = JSON.parse(Bun.file(spec).text());
  // Generate API client code
  return generateClientFromOpenAPI(openapi);
}

Return Types

Macros can return:

typescript
// Primitives
export function getString(): string { return "hello"; }
export function getNumber(): number { return 42; }
export function getBoolean(): boolean { return true; }
export function getNull(): null { return null; }

// Objects (serializable)
export function getObject(): object {
  return { key: "value", nested: { a: 1 } };
}

// Arrays
export function getArray(): string[] {
  return ["a", "b", "c"];
}

// Response (for bundler plugins)
export function getResponse(): Response {
  return new Response("content", {
    headers: { "Content-Type": "text/plain" },
  });
}

Async Macros

typescript
// macros/fetch.ts
export async function fetchSchema(): Promise<object> {
  const response = await fetch("https://api.example.com/schema.json");
  return response.json();
}

// src/index.ts
import { fetchSchema } from "./macros/fetch" with { type: "macro" };

const schema = await fetchSchema();
// Fetched at build time, inlined as object literal

Parameters

typescript
// macros/parameterized.ts
export function repeat(str: string, count: number): string {
  return str.repeat(count);
}

export function formatDate(format: string): string {
  return new Date().toLocaleDateString("en-US", {
    dateStyle: format as any,
  });
}

// src/index.ts
import { repeat, formatDate } from "./macros/parameterized" with { type: "macro" };

const separator = repeat("-", 20);
const date = formatDate("long");

Conditional Code

typescript
// macros/platform.ts
export function platform(): "node" | "bun" | "browser" {
  if (typeof Bun !== "undefined") return "bun";
  if (typeof process !== "undefined") return "node";
  return "browser";
}

// src/index.ts
import { platform } from "./macros/platform" with { type: "macro" };

if (platform() === "bun") {
  // This block is kept or removed at build time
  console.log("Running on Bun");
}

Bundle-Only Execution

Macros ONLY run during bundling:

bash
# Macros executed
bun build src/index.ts --outdir=dist

# Macros NOT executed (runtime)
bun run src/index.ts

Error Handling

typescript
// macros/safe.ts
export function requireEnv(key: string): string {
  const value = process.env[key];
  if (!value) {
    throw new Error(`Missing required env var: ${key}`);
  }
  return value;
}

// Build fails if env var missing
import { requireEnv } from "./macros/safe" with { type: "macro" };
const secret = requireEnv("API_SECRET");

Debugging Macros

typescript
// macros/debug.ts
export function debug(label: string, value: unknown): unknown {
  console.log(`[MACRO] ${label}:`, value);
  return value;
}

// See output during build
bun build src/index.ts --outdir=dist
// [MACRO] config: { ... }

Best Practices

  1. Keep macros pure - Avoid side effects
  2. Return serializable values - Must be JSON-compatible
  3. Handle errors - Throw meaningful errors for build failures
  4. Document dependencies - Note what files/env vars are required
  5. Test separately - Macros can be tested as regular functions

Common Errors

ErrorCauseFix
Cannot find moduleWrong import pathCheck macro file location
Not serializableFunction/class returnedReturn plain data
Macro failedRuntime error in macroDebug macro separately
Not evaluatedMissing with { type: "macro" }Add import attribute

When to Load References

Load references/advanced-patterns.md when:

  • Complex code generation
  • Plugin integration
  • Build pipelines Retrieve and present patterns for custom macro implementations, integration examples with build systems, and advanced bundler plugin workflows.

Load references/debugging.md when:

  • Macro not evaluating
  • Unexpected output
  • Performance issues Retrieve debugging techniques, provide step-by-step diagnostics, and offer optimization strategies tied to the user's specific issue.

Frequently asked questions

What does the Bun Macros AI skill do?

Evaluate JavaScript at bundle time and inline results. Use when optimizing compile-time code generation, embedding files, inlining environment variables, or executing code during the bundling process.

Why use Bun Macros on TypingMind?

Because you install it once and use it with any model. Bun Macros 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 Bun Macros in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/secondsky/claude-skills/tree/main/plugins/bun/skills/bun-macros. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Bun Macros?

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 Bun Macros?

As many as you like. As long as a model supports skills, you can use Bun Macros with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bun Macros AI skill free?

Yes. It is published on GitHub by secondsky under the MIT 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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