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Create Ai Video From Text

v1.0.0

create text prompts into AI generated videos with this create-ai-video-from-text skill. Works with TXT, DOCX, PDF, SRT files up to 500MB. marketers use it fo...

0· 81·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for francemichaell-15/create-ai-video-from-text.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Create Ai Video From Text" (francemichaell-15/create-ai-video-from-text) from ClawHub.
Skill page: https://clawhub.ai/francemichaell-15/create-ai-video-from-text
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: NEMO_TOKEN
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install create-ai-video-from-text

ClawHub CLI

Package manager switcher

npx clawhub@latest install create-ai-video-from-text
Security Scan
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OpenClawOpenClaw
Suspicious
medium confidence
Purpose & Capability
Name/description request access to a Nemo video processing service; SKILL.md instructs exact API endpoints and requires a NEMO_TOKEN — this is coherent with a video-generation integration.
!
Instruction Scope
The instructions tell the agent to automatically connect to an external API on first interaction (including generating an anonymous token if NEMO_TOKEN is missing) and to upload user files to mega-api-prod.nemovideo.ai. Automatic initialization before user confirmation and outbound file uploads are expected for this kind of skill but increase risk if users may send sensitive files or if they expect explicit consent prior to network activity.
Install Mechanism
This is an instruction-only skill with no install spec or downloaded code, so nothing is written to disk by an installer. That lowers install-time risk.
Credentials
The only required credential is NEMO_TOKEN (primaryEnv), which is appropriate for the described API. However there is an inconsistency: the registry metadata listed no required config paths, while SKILL.md metadata declares a config path (~/.config/nemovideo/). That mismatch should be clarified because the skill intends to save session state.
Persistence & Privilege
The skill does not request always:true and only describes storing a session_id (logical for sessions). It does not request elevated or cross-skill privileges in the instructions.
What to consider before installing
Things to consider before installing: - This skill will contact https://mega-api-prod.nemovideo.ai and may upload any files you provide (text, DOCX, PDF, SRT). Do not upload confidential data unless you trust that domain and its privacy policy. - The skill needs a NEMO_TOKEN; if you don't supply one it will call the service to obtain an anonymous token (creates a client UUID and requests a token). That means the agent will perform outbound network requests automatically on first use — be sure you are comfortable with that. - There is a metadata mismatch: the registry says no config paths are required, but SKILL.md declares ~/.config/nemovideo/ for saving session state. Clarify where session tokens/IDs are stored and how long they persist. - No source code or homepage is provided for this skill and the publisher identity is unknown. If provenance matters to you, ask for the upstream project URL, privacy/retention policy for uploaded files, and the exact behavior for storing tokens/session state before using. - If you proceed, prefer supplying your own service token (NEMO_TOKEN) from an account you control and avoid uploading sensitive documents until you verify the service's privacy/security posture.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

🎬 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk97bp20te04421ygqcz150bh7584j96t
81downloads
0stars
1versions
Updated 2w ago
v1.0.0
MIT-0

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:

  • "create my text prompts"
  • "export 1080p MP4"
  • "turn this product description into a"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: <uuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

Create AI Video From Text — Generate Videos From Text

This tool takes your text prompts and runs AI video creation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a 150-word product description and want to turn this product description into a 30-second promotional video with visuals and voiceover — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter, clearer text prompts produce more accurate and focused video output.

Matching Input to Actions

User prompts referencing create ai video from text, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says...ActionSkip 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.

Include Authorization: Bearer <NEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

Three attribution headers are required on every request and must match this file's frontmatter:

HeaderValue
X-Skill-Sourcecreate-ai-video-from-text
X-Skill-Versionfrontmatter version
X-Skill-Platformauto-detect: clawhub / cursor / unknown from install path

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"<lang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — 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> — file: multipart -F "files=@/path", or URL: {"urls":["<url>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/<sid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — 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 Handling

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up credits in your account"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429Rate limit (1 token/client/7 days)Retry in 30s once

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

  • "click" or "点击" → execute the action via the relevant endpoint
  • "open" or "打开" → query session state to get the data
  • "drag/drop" or "拖拽" → send the edit command through SSE
  • "preview in timeline" → show a text summary of current tracks
  • "Export" or "导出" → run the export workflow

SSE Event Handling

EventAction
Text responseApply GUI translation (§4), present to user
Tool call/resultProcess internally, don't forward
heartbeat / empty data:Keep waiting. Every 2 min: "⏳ Still working..."
Stream closesProcess 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)

Common Workflows

Quick edit: Upload → "turn this product description into a 30-second promotional video with visuals and voiceover" → 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 product description into a 30-second promotional video with visuals and voiceover" — concrete instructions get better results.

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

Export as MP4 for widest compatibility.

Comments

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