MIT 授權的 agent skill，以 Atlas Cloud 與本機 ffmpeg 將單一選題自動製成 Vox 風拼貼解說影片；可安裝到任何 coding agent 的 skills 目錄，包括 DeepSeek Harness 工作流。
DSH 整合
相容
自動推斷
安全稽核
未稽核
最後核實
2026-08-21
授權條款
MIT
01它能幫你完成什麼？
Turn a one-line topic into a finished Vox-style paper-collage explainer or ad video
A final MP4 with script, collage keyframes, motion, voice-over, music and captions, assembled at out/<project>/final.mp4 after two human approval gates
Creators and marketers using DeepSeek Harness or another coding agent who need editorial-style explainer/ad videos without hand-editing them
Re-style existing footage or photos into the collage look (A-roll / C-roll)
Talking-head videos re-styled frame-for-frame while keeping the real face, lip-sync and gestures; still photos cut out as photographic stickers anchored into generated posters, with optional voice-cloned narration
Video producers and brand teams that already have talking-head footage or product shots and want the Vox collage aesthetic
02如何將外掛接入 DeepSeek Harness？
先決條件
- A coding agent — Claude Code, Codex, or similar
- An Atlas Cloud API key
- ffmpeg + ffprobe (e.g. `brew install ffmpeg`)
- Python 3 with Pillow (`pip install pillow`) for caption/watermark overlays
安裝步驟
- 01
Option A — clone the repo as a skill: `git clone https://github.com/Alisa0808/vox-director.git ~/.claude/skills/vox-director`
$ git clone https://github.com/Alisa0808/vox-director.git ~/.claude/skills/vox-director
- 02
Option B — download `vox-director.skill` and install it via your Claude skills UI
- 03
Set your Atlas Cloud API key: `export ATLASCLOUD_API_KEY="sk-..."`
驗證整合成功
作者未說明
03DSH 整合程度與能力邊界
Agent skill (SKILL.md workflow + scripts) installed into a coding agent's skills directory; the README targets any coding agent and does not mention DeepSeek Harness explicitly, though the repo is tagged dsh-plugin.
End-to-end video pipeline with human gates
A one-line topic (B-roll), a talking-head video (A-roll), or a still photo (C-roll)→beat map → style bake-off → collage keyframes → motion → voice + music → ffmpeg assembly → final.mp4
Sends prompts and media to the Atlas Cloud API (network calls to api.atlascloud.ai)Writes generated assets and final.mp4 under out/<project>/Three input modalities (B-roll / A-roll / C-roll)
a topic, a talking-head video, or a still photo→fully generated film; talking-head re-styled with face/lip-sync preserved; photo anchored as a photographic sticker with optional voice cloning
Voice cloning (bytedance/seed-audio-1.0) processes a real person's voice via Atlas CloudLocal ffmpeg assembly & overlays
generated clips, narration, music and captions→final.mp4 with concatenated clips, music ducked under VO, burned-in captions and watermark
Requires local ffmpeg/ffprobe and Python 3 + Pillow for caption/watermark overlays
04適合誰？何時不該用？
適合
- Creators and marketers using DeepSeek Harness or another coding agent who need editorial-style explainer/ad videos without hand-editing them
- Video producers and brand teams that already have talking-head footage or product shots and want the Vox collage aesthetic
不適合
- All image, video, voice and music generation runs through the Atlas Cloud API — you need an Atlas Cloud API key and network access, and model usage is billed against your Atlas Cloud account.
05相容性、維護與安全提醒
- All image, video, voice and music generation runs through the Atlas Cloud API — you need an Atlas Cloud API key and network access, and model usage is billed against your Atlas Cloud account.
- Model IDs on Atlas Cloud drift over time; the skill fetches the live model list before every run, and the model table is only verified on Atlas Cloud.
- Final assembly and caption/watermark overlays depend on locally installed ffmpeg + ffprobe and Python 3 with Pillow; the skill cannot produce the final MP4 without them.
MIT · actively maintained (last push 2026-08-11, no tagged releases yet)
06常見問題
Vox Director 如何接入 DeepSeek Harness？是原生還是 MCP？
都不是——它是 agent skill，不是 MCP 伺服器或原生執行環境。README 表示任何能讀取工作流並執行腳本的 coding agent 都可用：複製到 skills 目錄（Claude Code 會自動發現），或安裝打包好的 .skill 檔；其他 agent 則讀取 AGENTS.md → SKILL.md。README 並未特別提及 DeepSeek Harness。
安裝前需要準備什麼？
一個 coding agent（Claude Code、Codex 或類似工具）、Atlas Cloud API key、ffmpeg + ffprobe，以及安裝了 Pillow 的 Python 3（用於字幕／浮水印疊加）。
我的資料和請求會傳到哪裡？
所有生成環節——關鍵幀、動畫、配音、配樂——都會傳送到 Atlas Cloud API（api.atlascloud.ai），每次執行前還會取得即時模型清單；最終合成在本機以 ffmpeg 完成，輸出到 out/<project>/final.mp4。
製作過程中我能保留多少控制權？
兩個人工決策關卡：你需要確認節拍圖（敘事結構），並從 3–4 種主題的風格比選中挑選視覺風格；之後的所有步驟全部自動完成。
07相關的 DSH 工作流程
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作者 beiyege-01
語音 AI 女友（Voice AI girlfriend for DeepSeek Harness）：Whisper 語音輸入 + Qwen3-TTS 聲音克隆 + 句子級流式朗讀 + 數字人動畫窗。插話/排隊雙模式，說話即打斷。
dsh-plugin-tts
作者 1624318455
Edge TTS 語音朗讀外掛：朗讀回覆、自動朗讀開關，免費無需 API key
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DeepSeek Harness 語音輸入外掛，支援多後端打磨語音輸入能力（ASR/Whisper）
dsh-speak
作者 alan2z
一種能讓你的harness開口說話的方案/Make your AI harness speak — a verified voice-announcement solution
08資料與來源
usable by any coding agent (Claude Code, Codex, etc.). You give it a one-line topic; it gives you an `mp4`.
This is an **agent skill** — it works with any coding agent that can read a workflow and run scripts (Claude Code, Codex…
此頁面根據專案公開文件、儲存庫中繼資料與 DSH Plugins 的結構化解析所產生；最後核實於 2026-08-21。發現錯誤？提交更正。