convert text prompts into text-based videos with this skill. Works with TXT, DOCX, PDF, plain text files up to 200MB. content creators use it for converting...
---
name: free-free-text
version: "1.0.0"
displayName: "Free Free Text β Convert Text Into Videos"
description: >
convert text prompts into text-based videos with this skill. Works with TXT, DOCX, PDF, plain text files up to 200MB. content creators use it for converting written content into shareable videos β processing takes 1-2 minutes on cloud GPUs and you get 1080p MP4 files.
metadata: {"openclaw": {"emoji": "π", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "greeting_v2"}}
---
## Getting Started
> Got text prompts to work with? Send it over and tell me what you need β I'll take care of the AI video creation.
**Try saying:**
- "convert a plain text description of a product launch into a 1080p MP4"
- "turn this text into a 30-second video with visuals and music"
- "converting written content into shareable videos for content creators"
### Getting Connected
Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".
**If `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 β 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 Free Text β Convert Text Into Videos
Drop your text prompts in the chat and tell me what you need. I'll handle the AI video creation on cloud GPUs β you don't need anything installed locally.
Here's a typical use: you send a a plain text description of a product launch, ask for turn this text into a 30-second video with visuals and 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 β shorter and clearer text prompts produce more accurate video results.
## Matching Input to Actions
User prompts referencing free free text, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.
| User says... | Action | Skip SSE? |
|-------------|--------|----------|
| "export" / "ε―ΌεΊ" / "download" / "send me the video" | β Β§3.5 Export | β
|
| "credits" / "η§―ε" / "balance" / "δ½ι’" | β Β§3.3 Credits | β
|
| "status" / "ηΆζ" / "show tracks" | β Β§3.4 State | β
|
| "upload" / "δΈδΌ " / user sends file | β Β§3.2 Upload | β
|
| Everything else (generate, edit, add BGMβ¦) | β Β§3.1 SSE | β |
## 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.
Include `Authorization: Bearer <NEMO_TOKEN>` and all attribution headers on every request β omitting them triggers a 402 on export.
Skill attribution β read from this file's YAML frontmatter at runtime:
- `X-Skill-Source`: `free-free-text`
- `X-Skill-Version`: from frontmatter `version`
- `X-Skill-Platform`: detect from install path (`~/.clawhub/` β `clawhub`, `~/.cursor/skills/` β `cursor`, else `unknown`)
**API base**: `https://mega-api-prod.nemovideo.ai`
**Create session**: POST `/api/tasks/me/with-session/nemo_agent` β body `{"task_name":"project","language":"<lang>"}` β returns `task_id`, `session_id`.
**Send message (SSE)**: POST `/run_sse` β body `{"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}}` with `Accept: text/event-stream`. Max timeout: 15 minutes.
**Upload**: POST `/api/upload-video/nemo_agent/me/<sid>` β file: multipart `-F "files=@/path"`, or URL: `{"urls":["<url>"],"source_type":"url"}`
**Credits**: GET `/api/credits/balance/simple` β returns `available`, `frozen`, `total`
**Session state**: GET `/api/state/nemo_agent/me/<sid>/latest` β key fields: `data.state.draft`, `data.state.video_infos`, `data.state.generated_media`
**Export** (free, no credits): POST `/api/render/proxy/lambda` β body `{"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}`. Poll GET `/api/render/proxy/lambda/<id>` every 30s until `status` = `completed`. Download URL at `output.url`.
Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.
### Error Codes
- `0` β success, continue normally
- `1001` β token expired or invalid; re-acquire via `/api/auth/anonymous-token`
- `1002` β session not found; create a new one
- `2001` β out of credits; anonymous users get a registration link with `?bind=<id>`, registered users top up
- `4001` β unsupported file type; show accepted formats
- `4002` β file too large; suggest compressing or trimming
- `400` β missing `X-Client-Id`; generate one and retry
- `402` β free plan export blocked; not a credit issue, subscription tier
- `429` β rate limited; wait 30s and retry once
### Backend Response Translation
The backend assumes a GUI exists. Translate these into API actions:
| Backend says | You do |
|-------------|--------|
| "click [button]" / "ηΉε»" | Execute via API |
| "open [panel]" / "ζεΌ" | Query session state |
| "drag/drop" / "ζζ½" | Send edit via SSE |
| "preview in timeline" | Show track summary |
| "Export button" / "ε―ΌεΊ" | Execute export workflow |
### SSE Event Handling
| Event | Action |
|-------|--------|
| Text response | Apply GUI translation (Β§4), present to user |
| Tool call/result | Process internally, don't forward |
| `heartbeat` / empty `data:` | Keep waiting. Every 2 min: "β³ 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.
**Draft field mapping**: `t`=tracks, `tt`=track type (0=video, 1=audio, 7=text), `sg`=segments, `d`=duration(ms), `m`=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 "turn this text into a 30-second video with visuals and music" β concrete instructions get better results.
Max file size is 200MB. Stick to TXT, DOCX, PDF, plain text for the smoothest experience.
Export as MP4 for widest compatibility.
## Common Workflows
**Quick edit**: Upload β "turn this text into a 30-second video with visuals and music" β 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.
don't have the plugin yet? install it then click "run inline in claude" again.