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πŸ¦€ ClawHub

Best To Video Ai

by @vcarolxhberger

marketers, content creators, educators convert text or script into AI-generated videos using this skill. Accepts TXT, DOCX, PDF, MP4 up to 200MB, renders on...

Versionv1.0.0
Downloads282
TERMINAL
clawhub install best-to-video-ai

πŸ“– About This Skill


name: best-to-video-ai version: "1.0.0" displayName: "Best Text to Video AI β€” Convert Text into Shareable Videos" description: > marketers, content creators, educators convert text or script into AI-generated videos using this skill. Accepts TXT, DOCX, PDF, MP4 up to 200MB, renders on cloud GPUs at 1080p, and returns MP4 files in 1-2 minutes. Designed for converting text or ideas into ready-to-share videos. metadata: {"openclaw": {"emoji": "🎬", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "short_prompts"}}

Getting Started

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

Try saying:

  • "convert my text or script"
  • "export 1080p MP4"
  • "convert this article into a short"
  • 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.

    Best Text to Video AI β€” Convert Text into Shareable Videos

    Send me your text or script and describe the result you want. The AI video creation runs on remote GPU nodes β€” nothing to install on your machine.

    A quick example: upload a 200-word blog post summary, type "convert this article into a short explainer video with visuals and voiceover", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

    Worth noting: shorter, focused scripts produce more coherent videos than long unstructured text.

    Matching Input to Actions

    User prompts referencing best to video ai, 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―Όε‡Ί" / "download" / "send me the video" | β†’ Β§3.5 Export | βœ… | | "credits" / "η§―εˆ†" / "balance" / "余钝" | β†’ Β§3.3 Credits | βœ… | | "status" / "ηŠΆζ€" / "show tracks" | β†’ Β§3.4 State | βœ… | | "upload" / "上传" / user sends file | β†’ Β§3.2 Upload | βœ… | | Everything else (generate, edit, add BGM…) | β†’ Β§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.

    All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

    1. Session β€” POST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":""}. Gives you a session_id. 2. Chat (SSE) β€” POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min. 3. Upload β€” POST /api/upload-video/nemo_agent/me/ β€” multipart file or JSON with URLs. 4. Credits β€” GET /api/credits/balance/simple β€” returns available, frozen, total. 5. State β€” GET /api/state/nemo_agent/me//latest β€” current draft and media info. 6. Export β€” POST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/ every 30s for completed status and download URL.

    Formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

    Headers are derived from this file's YAML frontmatter. X-Skill-Source is best-to-video-ai, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

    Include Authorization: Bearer and all attribution headers on every request β€” omitting them triggers a 402 on export.

    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)
    

    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" / "ζ‹–ζ‹½" | Send edit via SSE | | "preview in timeline" | Show track summary | | "Export button" / "ε―Όε‡Ί" | Execute export workflow |

    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 β€” 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.

    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=, 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
  • Common Workflows

    Quick edit: Upload β†’ "convert this article into a short explainer video with visuals and voiceover" 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.

    Tips and Tricks

    The backend processes faster when you're specific. Instead of "make it look better", try "convert this article into a short explainer video with visuals and voiceover" β€” concrete instructions get better results.

    Max file size is 200MB. Stick to TXT, DOCX, PDF, MP4 for the smoothest experience.

    Export as MP4 for widest compatibility across social and web platforms.

    πŸ’‘ Examples

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

    Try saying:

  • "convert my text or script"
  • "export 1080p MP4"
  • "convert this article into a short"
  • 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.

    Best Text to Video AI β€” Convert Text into Shareable Videos

    Send me your text or script and describe the result you want. The AI video creation runs on remote GPU nodes β€” nothing to install on your machine.

    A quick example: upload a 200-word blog post summary, type "convert this article into a short explainer video with visuals and voiceover", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

    Worth noting: shorter, focused scripts produce more coherent videos than long unstructured text.