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AGENTS.md Gains Traction as an Open Format for AI Coding Agents
AGENTS.md is a fast-growing open format giving AI coding agents a shared, predictable way to understand project setup, style, and workflows.
@ollopa/cedar
Advanced tools
Psst — looking for an app template? Go here --> sveltejs/template
A base for building shareable Svelte components. Clone it with degit:
npx degit sveltejs/component-template my-new-component
cd my-new-component
npm install # or yarn
Your component's source code lives in src/Component.svelte
.
You can create a package that exports multiple components by adding them to the src
directory and editing src/index.js
to reexport them as named exports.
TODO
degit
so that it automates some of the setup worknpm init
(or yarn init
)Your package.json has a "svelte"
field pointing to src/index.js
, which allows Svelte apps to import the source code directly, if they are using a bundler plugin like rollup-plugin-svelte or svelte-loader (where resolve.mainFields
in your webpack config includes "svelte"
). This is recommended.
For everyone else, npm run build
will bundle your component's source code into a plain JavaScript module (dist/index.mjs
) and a UMD script (dist/index.js
). This will happen automatically when you publish your component to npm, courtesy of the prepublishOnly
hook in package.json.
FAQs
Ollopa's component library, cedar. Written in vanilla Svelte
The npm package @ollopa/cedar receives a total of 15 weekly downloads. As such, @ollopa/cedar popularity was classified as not popular.
We found that @ollopa/cedar demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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AGENTS.md is a fast-growing open format giving AI coding agents a shared, predictable way to understand project setup, style, and workflows.
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