Skills free-text-to-video-editor

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 "$T/skills/bwbernardweston18/free-text-to-video-editor" ~/.claude/skills/clawdbot-skills-free-text-to-video-editor && rm -rf "$T"

manifest: skills/bwbernardweston18/free-text-to-video-editor/SKILL.md

source content

Getting Started

Share your text prompts and I'll get started on AI video creation. Or just tell me what you're thinking.

Try saying:

"convert my text prompts"
"export 1080p MP4"
"turn this blog paragraph into a"

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.

Free Text to Video Editor — Convert Text into Shareable Videos

Drop your text prompts in the chat and tell me what you need. I'll handle the AI video creation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 150-word product description, ask for turn this blog paragraph into a 30-second explainer video with visuals and background music, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — shorter, clearer text produces more accurate scene generation.

Matching Input to Actions

User prompts referencing free text to video editor, 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
```
:
```
free-text-to-video-editor
```
```
X-Skill-Version
```
: from frontmatter
```
version
```

X-Skill-Platform

: detect from install path (

~/.clawhub/

→

clawhub

~/.cursor/skills/

→

cursor

, else

unknown

)

All requests must include:

Authorization: Bearer <NEMO_TOKEN>

X-Skill-Source

X-Skill-Version

X-Skill-Platform

. Missing attribution headers will cause export to fail with 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=<id>` (get `<id>` 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 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)

Common Workflows

Quick edit: Upload → "turn this blog paragraph into a 30-second explainer video with visuals and background music" → Download MP4. Takes 1-2 minutes 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn this blog paragraph into a 30-second explainer video with visuals and background music" — concrete instructions get better results.

Max file size is 500MB. Stick to TXT, DOCX, PDF, plain text for the smoothest experience.

Export as MP4 for widest compatibility across social platforms.