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Ai For Video Generation

v1.0.0

Turn a text prompt describing a product launch scene into 1080p AI-generated videos just by typing what you need. Whether it's generating videos from text pr...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for mhogan2013-9/ai-for-video-generation.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Ai For Video Generation" (mhogan2013-9/ai-for-video-generation) from ClawHub.
Skill page: https://clawhub.ai/mhogan2013-9/ai-for-video-generation
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 ai-for-video-generation

ClawHub CLI

Package manager switcher

npx clawhub@latest install ai-for-video-generation
Security Scan
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OpenClawOpenClaw
Suspicious
medium confidence
Purpose & Capability
Requires a NEMO_TOKEN and calls a remote 'nemovideo' API to render videos — this aligns with a video-generation skill.
Instruction Scope
SKILL.md instructs the agent to obtain/store an anonymous token, create sessions, upload user files, call SSE endpoints, and poll render status — all expected for a cloud render pipeline. However the skill also says it will derive X-Skill-Platform by detecting install paths (e.g. ~/.clawhub/, ~/.cursor/skills/) which implicitly requires reading the user's home filesystem; this filesystem check is not declared elsewhere and broadens the agent's scope.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk.
Credentials
Only NEMO_TOKEN is required (primary credential) which is proportionate for an API-backed video service. Minor inconsistency: SKILL.md frontmatter lists a config path (~/.config/nemovideo/) in its metadata but the registry metadata earlier indicated no required config paths. This mismatch is unexplained.
Persistence & Privilege
always is false and there is no install; the skill will store a session_id/token for API use which is normal for such integrations. Nothing requests elevated or permanent platform-wide privileges.
What to consider before installing
This skill appears to do what it says (call a remote NemoVideo service to generate videos) and only needs a single NEMO_TOKEN. Before installing: (1) confirm the external domain (mega-api-prod.nemovideo.ai) is a trusted service you want to send files to; (2) be aware the skill may inspect your home directory to detect install paths (it derives an X-Skill-Platform header from paths like ~/.clawhub/), so if you prefer avoid that behavior set NEMO_TOKEN yourself and/or run in an environment where the agent cannot read your home directory; (3) avoid uploading sensitive or private media to the service unless you trust its privacy policy; (4) the SKILL.md mentions a config path (~/.config/nemovideo/) in its frontmatter but the registry shows none — ask the author to clarify where session/tokens are persisted. If you need stronger assurance, request the publisher/maintainer identity or an explicit privacy/storage description before use.

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

Runtime requirements

🎬 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk97adc3172vzj5y7ehsgb7zwh984r4kw
67downloads
0stars
1versions
Updated 2w ago
v1.0.0
MIT-0

Getting Started

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

Try saying:

  • "generate my images or prompts"
  • "export 1080p MP4"
  • "generate a 30-second video from my"

First-Time Connection

When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").

Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.

  1. Obtain a free token: Generate a random UUID as client identifier. POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id set to that UUID. The response data.token is your NEMO_TOKEN — 100 free credits, valid 7 days.
  2. Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer <token>, Content-Type: application/json, and body {"task_name":"project","language":"<detected>"}. Store the returned session_id for all subsequent requests.

Keep setup communication brief. Don't display raw API responses or token values to the user.

AI for Video Generation — Generate Videos from Text or Images

Send me your images or prompts and describe the result you want. The AI video creation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a text prompt describing a product launch scene, type "generate a 30-second video from my product description and three images", and you'll get a 1080p MP4 back in roughly 1-3 minutes. All rendering happens server-side.

Worth noting: detailed text prompts produce more accurate and consistent video results.

Matching Input to Actions

User prompts referencing ai for video generation, 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.

Every API call needs Authorization: Bearer <NEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is ai-for-video-generation, 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).

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

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.

Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

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 "generate a 30-second video from my product description and three images" — concrete instructions get better results.

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

Export as MP4 for widest compatibility across platforms and devices.

Common Workflows

Quick edit: Upload → "generate a 30-second video from my product description and three images" → Download MP4. Takes 1-3 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.

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