Dataloader
DataLoader provides a consistent API to fetch data from various backends, reducing requests through batching and caching, thus improving application performance.
- •When your application needs to fetch data from multiple APIs or databases
- •When you want to reduce the number of requests to external services
- •When you need to implement caching to improve application performance
const DataLoader = require('dataloader'); const batchLoadFn = (keys) => Promise.all(keys.map((key) => fetch(`https://api.example.com/${key}`))); const loader = new DataLoader(batchLoadFn); const data = await loader.load('user123');Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/dataloader && curl -fsSL https://workflowstacks.com/api/skills/dataloader/claude-skill -o ~/.claude/skills/dataloader/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Dataloader is a small JavaScript project (~1.6k lines across 6 code files, plus 5 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit a month ago, MIT license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2src/index.jsWhere the program starts running
- 3package.jsonDependencies and the commands it exposes
- 4examples/CouchDB.mdA worked example — copy this to get going
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/dataloader && curl -fsSL https://workflowstacks.com/api/skills/dataloader/claude-skill -o ~/.claude/skills/dataloader/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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