bama
BAMA: Build Any Mac App. Agent skills to research, clone, design, build, optimize, and test native macOS apps with Swift and SwiftUI.
翻譯準備中
Creating datasets and data stories fast with AI
翻譯準備中
技能HTML · JavaScriptGitHub @datasets自行安裝營運者未確認
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個人 GitHub 帳號下公開儲存庫的擁有者可以登入並驗證所有權,自行管理介紹,無需管理員核准。
登入並產生驗證檔案,在 30 分鐘內將其提交至此儲存庫的預設分支。其他分支或分叉儲存庫中的檔案無效。然後在下方檢查檔案,即可無需管理員核准直接管理專案。請保留檔案以維持管理權限。
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安裝型專案無需部署網域也可驗證。個人儲存庫可透過 GitHub 登入驗證,組織儲存庫可使用上方的儲存庫驗證檔案。
正在載入完整 README。 以下為已儲存的摘錄。
AI agent skills for turning messy source data into reproducible datasets and clear data stories.
Give your AI coding assistant a source file or URL, and DataPressr's skills have it archive the original, build tidy CSVs with a rerunnable script, document the schema, sources and licence, and check the result. Then add analysis, charts or a short data story. The output is ordinary files in your own folder or Git repository; publishing to DataHub is optional.
You need Node.js (for npx) and an AI coding assistant that supports skills. From the folder where you want your datasets:檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
AI agent skills for turning messy source data into reproducible datasets and clear data stories.
Give your AI coding assistant a source file or URL, and DataPressr's skills have it archive the original, build tidy CSVs with a rerunnable script, document the schema, sources and licence, and check the result. Then add analysis, charts or a short data story. The output is ordinary files in your own folder or Git repository; publishing to DataHub is optional.
You need Node.js (for npx) and an AI coding assistant that supports skills. From the folder where you want your datasets:檢視完整 README ↗