storage▌
15 indexed skills · max 10 per page
storage-format
tursodatabase/turso · Productivity
SQLite file format internals: pages, B-trees, cells, overflow chains, and freelist structure used in Turso. \n \n Database organized as fixed-size pages (default 4096 bytes) containing B-tree nodes, overflow pages, and freelist pages; header stores magic bytes, page size, encoding, and freelist pointers \n Two B-tree types: table B-trees use 64-bit rowid keys and store row data; index B-trees use arbitrary keys (index columns + rowid) \n Cells encode payloads with varint-prefixed rowid/keys; ove
cloud-storage-web
tencentcloudbase/skills · Cloud
Web-based file upload, download, and management for CloudBase cloud storage via the JavaScript SDK. \n \n Supports four core operations: uploading files from browsers with progress tracking, generating temporary download URLs, deleting files, and downloading to local storage \n Requires CORS configuration in CloudBase console; add your frontend domain to security domains to prevent errors \n Uses file IDs in the format cloud://env-id/path/filename and supports folder hierarchies with / separator
convex-file-storage
waynesutton/convexskills · Productivity
Complete file handling with uploads, URL serving, generated file storage, deletion, and metadata access in Convex. \n \n Supports three-step upload flow: generate upload URL via mutation, POST file to storage endpoint, save reference to database \n Serves files via automatic URL generation and handles diverse file types (images, PDFs, videos) with type-specific display logic \n Stores generated files from actions (PDFs, images) directly to storage using ctx.storage.store() with Blob conversion \
cloud-storage-optimization
aj-geddes/useful-ai-prompts · Cloud
Optimize cloud storage costs and performance across multiple cloud providers using compression, intelligent tiering, data partitioning, and lifecycle management. Reduce storage costs while maintaining accessibility and compliance requirements.
grepai-storage-qdrant
yoanbernabeu/grepai-skills · AI/ML
This skill covers using Qdrant as the storage backend for GrepAI, offering high-performance vector search.