Best Video Merger

Turn three separate 30-second MP4 clips into 1080p merged MP4 video just by typing what you need. Whether it's combining multiple video clips into one seamle...

Security Scan

The skill's requirements and runtime instructions are coherent with a cloud-based video merging service, but there are small inconsistencies and a few privacy-relevant behaviors you should understand before installing.

Purpose & Capability

The skill claims to merge video clips via a cloud backend and only requests a single service token (NEMO_TOKEN). The runtime steps (session creation, upload, render, download) match that purpose.

Instruction Scope

Instructions are focused on talking to the nemo video API, uploading user files, and handling SSE. They also direct the agent to read this SKILL.md frontmatter for attribution and to detect install path (~/.clawhub, ~/.cursor/skills) which requires reading the agent's filesystem — this is not necessary for core merging and is scope creep worth noting.

Install Mechanism

No install spec or external downloads — instruction-only skill (lowest install risk).

Credentials

The only declared credential is NEMO_TOKEN, which is appropriate for a cloud video API. The SKILL.md also documents creating an anonymous token via the service if no token is present. Minor inconsistency: SKILL.md frontmatter lists a configPath (~/.config/nemovideo/) while registry metadata indicated no required config paths.

Persistence & Privilege

The skill is not always-enabled and makes no requests to modify other skills or system settings. It stores session_id for ongoing operations (expected for a cloud session) but does not request elevated installation privileges.

Assessment

This skill uploads your video files to an external service (mega-api-prod.nemovideo.ai) and uses a NEMO_TOKEN bearer token to authenticate. If you don't provide a token it will request an anonymous token from the service, so installation does not require you to paste a secret but data will still go to their cloud. The skill will also read its own frontmatter and attempt to detect the agent install path (it may read some filesystem locations) — not strictly needed for merging. Before installing: confirm you trust the nemo video service and its privacy/retention policy, avoid uploading sensitive video or files you don't want mirrored externally, and be comfortable that the skill will make network calls to the listed API endpoints. If you need higher assurance, ask the author for a privacy notice or a deployed service URL and review any terms for the anonymous token behavior.

Getting Started

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

Try saying:

• "combine my video clips"
• "export 1080p MP4"
• "merge all three clips into one"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

• Generate a UUID as client identifier
• POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
• Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

Best Video Merger — Merge Clips into One Video

Drop your video clips in the chat and tell me what you need. I'll handle the AI video merging on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a three separate 30-second MP4 clips, ask for merge all three clips into one continuous video with smooth transitions, and about 30-60 seconds later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — arrange clips in order before uploading to avoid manual reordering.

Matching Input to Actions

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

User says...	Action	Skip 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.

Skill attribution — read from this file's YAML frontmatter at runtime:

• X-Skill-Source: best-video-merger
• X-Skill-Version: from frontmatter version
• X-Skill-Platform: detect from install path (~/.clawhub/ → clawhub, ~/.cursor/skills/ → cursor, else unknown)

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

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.

SSE Event Handling

Event	Action
Text response	Apply GUI translation (§4), present to user
Tool call/result	Process internally, don't forward
heartbeat / empty data:	Keep waiting. Every 2 min: "⏳ 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.

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

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)

Error Handling

Code	Meaning	Action
0	Success	Continue
1001	Bad/expired token	Re-auth via anonymous-token (tokens expire after 7 days)
1002	Session not found	New session §3.0
2001	No credits	Anonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up credits in your account"
4001	Unsupported file	Show supported formats
4002	File too large	Suggest compress/trim
400	Missing X-Client-Id	Generate Client-Id and retry (see §1)
402	Free plan export blocked	Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429	Rate limit (1 token/client/7 days)	Retry in 30s once

Common Workflows

Quick edit: Upload → "merge all three clips into one continuous video with smooth transitions" → Download MP4. Takes 30-60 seconds 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 "merge all three clips into one continuous video with smooth transitions" — concrete instructions get better results.

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

Export as MP4 for widest compatibility across platforms and devices.