Subtitle Generator Davinci
/install subtitle-generator-davinci
Getting Started
Send me your video clips and I'll handle the subtitle generation. Or just describe what you're after.
Try saying:
- "generate a 10-minute DaVinci Resolve project export into a 1080p MP4"
- "generate subtitles for my DaVinci Resolve video and sync them automatically"
- "adding auto-generated subtitles to DaVinci Resolve videos for video editors"
Quick Start Setup
This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").
Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:
- Generate a UUID as client identifier
- POST
https://mega-api-prod.nemovideo.ai/api/auth/anonymous-tokenwithX-Client-Idheader - Extract
data.tokenfrom the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)
Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.
Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.
Subtitle Generator for DaVinci — Generate Subtitles for DaVinci Videos
This tool takes your video clips and runs subtitle generation through a cloud rendering pipeline. You upload, describe what you want, and download the result.
Say you have a 10-minute DaVinci Resolve project export and want to generate subtitles for my DaVinci Resolve video and sync them automatically — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.
Tip: export your DaVinci Resolve timeline as MP4 first before uploading for best subtitle sync accuracy.
Matching Input to Actions
User prompts referencing subtitle generator davinci, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.
| User says... | Action | Skip SSE? |
|---|---|---|
| "export" / "导出" / "download" / "send me the video" | → §3.5 Export | ✅ |
| "credits" / "积分" / "balance" / "余额" | → §3.3 Credits | ✅ |
| "status" / "状态" / "show tracks" | → §3.4 State | ✅ |
| "upload" / "上传" / user sends file | → §3.2 Upload | ✅ |
| Everything else (generate, edit, add BGM…) | → §3.1 SSE | ❌ |
Cloud Render Pipeline Details
Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.
Base URL: https://mega-api-prod.nemovideo.ai
| Endpoint | Method | Purpose |
|---|---|---|
/api/tasks/me/with-session/nemo_agent |
POST | Start a new editing session. Body: {"task_name":"project","language":"\x3Clang>"}. Returns session_id. |
/run_sse |
POST | Send a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min. |
/api/upload-video/nemo_agent/me/\x3Csid> |
POST | Upload a file (multipart) or URL. |
/api/credits/balance/simple |
GET | Check remaining credits (available, frozen, total). |
/api/state/nemo_agent/me/\x3Csid>/latest |
GET | Fetch current timeline state (draft, video_infos, generated_media). |
/api/render/proxy/lambda |
POST | Start export. Body: {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s. |
Accepted file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.
Skill attribution — read from this file's YAML frontmatter at runtime:
X-Skill-Source:subtitle-generator-davinciX-Skill-Version: from frontmatterversionX-Skill-Platform: detect from install path (~/.clawhub/→clawhub,~/.cursor/skills/→cursor, elseunknown)
Every API call needs Authorization: Bearer \x3CNEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.
Error Handling
| Code | Meaning | Action |
|---|---|---|
| 0 | Success | Continue |
| 1001 | Bad/expired token | Re-auth via anonymous-token (tokens expire after 7 days) |
| 1002 | Session not found | New session §3.0 |
| 2001 | No credits | Anonymous: show registration URL with ?bind=\x3Cid> (get \x3Cid> from create-session or state response when needed). Registered: "Top up credits in your account" |
| 4001 | Unsupported file | Show supported formats |
| 4002 | File too large | Suggest compress/trim |
| 400 | Missing X-Client-Id | Generate Client-Id and retry (see §1) |
| 402 | Free plan export blocked | Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export." |
| 429 | Rate limit (1 token/client/7 days) | Retry in 30s once |
Reading the SSE Stream
Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.
About 30% of edit operations close the stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.
Backend Response Translation
The backend assumes a GUI exists. Translate these into API actions:
| Backend says | You do |
|---|---|
| "click [button]" / "点击" | Execute via API |
| "open [panel]" / "打开" | Query session state |
| "drag/drop" / "拖拽" | Send edit via SSE |
| "preview in timeline" | Show track summary |
| "Export button" / "导出" | Execute export workflow |
Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.
Example timeline summary:
Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)
Tips and Tricks
The backend processes faster when you're specific. Instead of "make it look better", try "generate subtitles for my DaVinci Resolve video and sync them automatically" — concrete instructions get better results.
Max file size is 500MB. Stick to MP4, MOV, AVI, MKV for the smoothest experience.
Export from DaVinci Resolve as H.264 MP4 for fastest processing and widest compatibility.
Common Workflows
Quick edit: Upload → "generate subtitles for my DaVinci Resolve video and sync them automatically" → Download MP4. Takes 30-60 seconds for a 30-second clip.
Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.
Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install subtitle-generator-davinci - 安装完成后，直接呼叫该 Skill 的名称或使用
/subtitle-generator-davinci触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
Subtitle Generator Davinci 是什么？
Turn a 10-minute DaVinci Resolve project export into 1080p captioned videos just by typing what you need. Whether it's adding auto-generated subtitles to DaV... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 52 次。
如何安装 Subtitle Generator Davinci？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install subtitle-generator-davinci」即可一键安装，无需额外配置。
Subtitle Generator Davinci 是免费的吗？
是的，Subtitle Generator Davinci 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Subtitle Generator Davinci 支持哪些平台？
Subtitle Generator Davinci 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Subtitle Generator Davinci？
由 vcarolxhberger（@vcarolxhberger）开发并维护，当前版本 v1.0.0。