HongMing-Huang

Dsh File Upload — Design skill for Claude Code

Design community

DeepSeek Harness (dsh) file-message plugin: Claude-style drag-and-drop / paperclip upload, content sniffing, document-to-Markdown via Microsoft MarkItDown (with built-in JS fallback), text inlining, r.

How to install Dsh File Upload

This entry records only its repository, not the path inside it, so there is no exact command to give. Open HongMing-Huang/dsh-file-upload and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Dsh File Upload does

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README

dsh-file-upload

**File-message plugin for DeepSeek Harness (dsh).** Claude/Codex-style uploads — drag-and-drop (files and folders), paperclip picker, paste-to-attach, multi-file support; content sniffing; fully bundled document → Markdown conversion (MarkItDown engine, 20+ formats, image OCR); Codex-style `@relative/path` references; automatic image explanations for text-only models; and a `read_document` tool for agents.

[![npm](https://img.shields.io/npm/v/dsh-file-upload)](https://www.npmjs.com/package/dsh-file-upload) [![CI](https://github.com/HongMing-Huang/dsh-file-upload/actions/workflows/ci.yml/badge.svg)](https://github.com/HongMing-Huang/dsh-file-upload/actions/workflows/ci.yml) [![license](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE) [![Awesome DSH Plugin](https://awesome-dsh-plugin.com/badge.svg)](https://awesome-dsh-plugin.com)

English | [中文](README.zh.md)

**Zero-config, install-and-use.** Every feature works out of the box with sensible defaults — no Python, no downloads, no picking backends. Image explanations auto-discover a vision endpoint (local Ollama → OpenAI-compatible key from the dsh credentials seam).

Features

Upload — composer paperclip button plus a global drag-and-drop overlay ("release to attach"), multi-file support.
Attachment cards — color-coded type badges (PDF red / DOC blue / XLS green / TXT gray / ZIP purple / JSON gold) with name and size; removable.
Codex-style file references — uploaded files appear in the message as @relative/path references (like OpenAI Codex), never as raw content dumped into the composer; the agent reads the file with read_document (converted to Markdown on demand).
Codex-style @ mentions — type @ in the composer to pick any uploaded file by its relative path; the reference inserts as a mention.
Document → Markdown, fully bundled — the MarkItDown engine ships inside the plugin (Microsoft MarkItDown TypeScript port, markitdown-node): P