Start single-chunk or multi-chunk file uploads to NovaDB and return upload tokens.
npx skills add https://github.com/novadb/claude-plugins --skill upload-file-novadb
Please help me install this Agent Skill. Skill: upload-file Source: https://github.com/novadb/claude-plugins/tree/main/consulting/skills/upload-file Command: npx skills add https://github.com/novadb/claude-plugins --skill upload-file-novadb
This skill handles the initial step of uploading files into NovaDB so users can reliably begin single-chunk uploads or create the first chunk and obtain an upload token for multi-chunk transfers.
Start a single-chunk upload for file photo.jpg with extension jpg and commit it immediately.
High-intent search queries and answers about installing and using this skill.
To start a file upload to NovaDB, you initiate the transfer to generate an upload token and file identifier. This token supports single-chunk completion or the first chunk of multi-chunk ingestion workflows.
A single-chunk file upload completes immediately by setting the commit flag during initiation. This returns the final file identifier for downstream download and reference without needing continuation operations.
You need multi-chunk uploads for content management ingestion when handling large files that exceed single-chunk limits. The initial request returns an upload token to pass to continuation operations for subsequent chunks.
Yes, you can retrieve a download hash after ingesting documents into NovaDB. When the file upload completes, the process returns a file identifier for downstream download and later access reference.
Yes, NovaDB upload supports programmatic image ingestion with immediate commit. You can start a single-chunk upload for files like images and set the commit flag to finalize the transfer instantly.
vm0-aiUpload images to Imgur and return public URLs via HTTP POST.
novadbContinue chunked file uploads with a token and finalize via commit.
Nero-kkIngest documents into an Obsidian wiki as interconnected pages.
khetansarveshCache file processing results using SHA-256 content hashes.
