Video Maker Ai Best

v1.0.0

Skip the learning curve of professional editing software. Describe what you want — combine my clips into a polished video with music and transitions — and ge...

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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 tk8544-b/video-maker-ai-best.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Video Maker Ai Best" (tk8544-b/video-maker-ai-best) from ClawHub.
Skill page: https://clawhub.ai/tk8544-b/video-maker-ai-best
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 video-maker-ai-best

ClawHub CLI

Package manager switcher

npx clawhub@latest install video-maker-ai-best
Security Scan
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OpenClawOpenClaw
Benign
medium confidence
Purpose & Capability
Name/description (cloud AI video creation) aligns with the runtime instructions: all API calls, uploads, and exports target the nemovideo backend and require a service token (NEMO_TOKEN). No unrelated services or credentials are requested.
Instruction Scope
SKILL.md instructs the agent to upload user media to https://mega-api-prod.nemovideo.ai, create sessions, and poll render jobs. It also instructs automatic anonymous-token acquisition if NEMO_TOKEN is not present and to hide raw token values from users. Uploading user files and auto-creating tokens are expected for this purpose but are privacy-sensitive actions the user should be aware of.
Install Mechanism
No install spec and no code files (instruction-only). This is the lowest-risk install surface — nothing is downloaded or written by the skill itself.
Credentials
Only a single credential (NEMO_TOKEN) is required, which is proportional to a hosted video-rendering service. Minor inconsistency: the registry metadata shown with the skill reported no required config paths, but the SKILL.md frontmatter lists a config path (~/.config/nemovideo/). The skill also instructs storing session_id for requests but doesn't specify secure storage.
Persistence & Privilege
always:false and no special persistence or system-wide config changes. The skill can be invoked autonomously (platform default), which increases the blast radius only in the expected way for a network-backed skill.
Assessment
This skill will upload any files you drop into it to mega-api-prod.nemovideo.ai and will use or obtain a NEMO_TOKEN (it can auto-generate an anonymous token if you don't provide one). Before installing: (1) Confirm you're comfortable having your media sent to that external service and check its privacy/retention policy; (2) If you want control, supply your own NEMO_TOKEN rather than letting the skill auto-create one; (3) Note the small metadata mismatch (SKILL.md mentions ~/.config/nemovideo/ while registry metadata did not) — it's likely harmless but worth awareness; (4) The skill does not request other credentials or install code locally, so risk is limited to network transfers and token usage.

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

Runtime requirements

🎬 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk977mt1aa5ew3e6h57ybjhd0fh84nh8c
97downloads
0stars
1versions
Updated 2w ago
v1.0.0
MIT-0

Getting Started

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

Try saying:

  • "create my video clips or images"
  • "export 1080p MP4"
  • "combine my clips into a polished"

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.

Video Maker AI Best — Create and Export Finished Videos

Drop your video clips or images 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 five product photos and a 30-second voiceover, ask for combine my clips into a polished video with music and transitions, 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 source clips under 2 minutes produce the fastest and cleanest results.

Matching Input to Actions

User prompts referencing video maker ai best, 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is video-maker-ai-best, 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

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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "combine my clips into a polished video with music and transitions" — concrete instructions get better results.

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

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

Common Workflows

Quick edit: Upload → "combine my clips into a polished video with music and transitions" → 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.

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