Skills ai-subtitle-free

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/bwbernardweston18/ai-subtitle-free" ~/.claude/skills/clawdbot-skills-ai-subtitle-free && rm -rf "$T"

manifest: skills/bwbernardweston18/ai-subtitle-free/SKILL.md

source content

Getting Started

Send me your video files and I'll handle the AI subtitle generation. Or just describe what you're after.

Try saying:

"generate a 3-minute YouTube tutorial video into a 1080p MP4"
"automatically generate and burn in subtitles for free"
"adding subtitles to videos without paying for tools for YouTubers and content creators"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

NEMO_TOKEN

is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

Generate a UUID as client identifier

POST to

https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token

with the

X-Client-Id

header

The response includes a
```
token
```
with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to

https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent

with Bearer authorization and body

{"task_name":"project","language":"en"}

. The

session_id

in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

AI Subtitle Free — Generate Subtitles for Videos Free

Send me your video files and describe the result you want. The AI subtitle generation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 3-minute YouTube tutorial video, type "automatically generate and burn in subtitles for free", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

Worth noting: shorter clips under 5 minutes process significantly faster.

Matching Input to Actions

User prompts referencing ai subtitle free, 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":"<lang>"}` . 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/<sid>`	POST	Upload a file (multipart) or URL.
`/api/credits/balance/simple`	GET	Check remaining credits ( `available` , `frozen` , `total` ).
`/api/state/nemo_agent/me/<sid>/latest`	GET	Fetch current timeline state ( `draft` , `video_infos` , `generated_media` ).
`/api/render/proxy/lambda`	POST	Start export. Body: `{"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"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
```
:
```
ai-subtitle-free
```
```
X-Skill-Version
```
: from frontmatter
```
version
```

X-Skill-Platform

: detect from install path (

~/.clawhub/

→

clawhub

~/.cursor/skills/

→

cursor

, else

unknown

)

Every API call needs

Authorization: Bearer <NEMO_TOKEN>

plus the three attribution headers above. If any header is missing, exports return 402.

Error Codes

```
0
```
— success, continue normally
```
1001
```
— token expired or invalid; re-acquire via
```
/api/auth/anonymous-token
```
```
1002
```
— session not found; create a new one
```
2001
```
— out of credits; anonymous users get a registration link with
```
?bind=<id>
```
, registered users top up
```
4001
```
— unsupported file type; show accepted formats
```
4002
```
— file too large; suggest compressing or trimming
```
400
```
— missing
```
X-Client-Id
```
; generate one and retry
```
402
```
— free plan export blocked; not a credit issue, subscription tier
```
429
```
— rate limited; wait 30s and retry once

SSE Event Handling

Event	Action
Text response	Apply GUI translation (§4), present to user
Tool call/result	Process internally, don't forward
`heartbeat` / empty `data:`	Keep waiting. Every 2 min: "⏳ Still working..."
Stream closes	Process final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

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 field mapping:

=tracks,

tt

=track type (0=video, 1=audio, 7=text),

sg

=segments,

=duration(ms),

=metadata.

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 "automatically generate and burn in subtitles for free" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.

Export as MP4 for widest compatibility across platforms.

Common Workflows

Quick edit: Upload → "automatically generate and burn in subtitles for free" → 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.