Video Editing Online

Turn a 3-minute unedited screen recording into 1080p edited MP4 clips just by typing what you need. Whether it's trimming and polishing raw footage for socia...

Security Scan

The skill's instructions, required credential (NEMO_TOKEN), and external API usage are coherent with a cloud video-editing service and do not request unrelated system access.

Purpose & Capability

Name/description (cloud video editing) match the actions described in SKILL.md: uploading user video files, creating sessions, rendering on cloud GPUs, and returning download URLs. The single required env var (NEMO_TOKEN) and an optional nemo config path are proportionate to a hosted edit service.

Instruction Scope

The runtime instructions send user-uploaded video files and edit commands to mega-api-prod.nemovideo.ai and handle SSE streams and polling; that is expected for a cloud editor. The skill also instructs how to obtain an anonymous token from the service if NEMO_TOKEN is absent. This behavior is within scope but important for users to know because their media is transmitted to the remote service.

Install Mechanism

This is an instruction-only skill with no install spec or code files, so nothing is downloaded or written by an installer. Low install risk.

Credentials

Only NEMO_TOKEN is required (declared as primary credential), which is appropriate. The skill will create an anonymous NEMO_TOKEN by calling the service if none is present—reasonable but means the skill will perform network calls and may persist/use the returned token for subsequent requests.

Persistence & Privilege

always:false (no forced persistent inclusion). The SKILL.md metadata references a config path (~/.config/nemovideo/) and attempts to detect install path for an attribution header; this is not high privilege but is a minor inconsistency with the registry summary (which listed no required config paths) and means the agent may inspect its runtime environment to populate headers.

Assessment

This skill appears to do what it says: it uploads your videos to nemovideo's cloud API (mega-api-prod.nemovideo.ai) for editing and returns a download URL. Before using it, consider: 1) Your media is transmitted to an external service—review that service's privacy/storage policy if you are uploading sensitive content. 2) The skill will either use an existing NEMO_TOKEN or automatically request an anonymous token from the service (100 free credits, 7‑day expiry) — network access is required and a token may be cached for reuse. 3) There is a small metadata inconsistency (the skill's registry entry shows no config paths while the SKILL.md references ~/.config/nemovideo/ and detects install path for headers); this is not clearly harmful but worth noting. If you trust nemo video hosting and are comfortable with your files being processed remotely, the skill is coherent with its stated purpose. If you need guarantees about retention or deletion of uploaded media, ask the provider or avoid uploading sensitive content.

Getting Started

Got raw video clips to work with? Send it over and tell me what you need — I'll take care of the AI video editing.

Try saying:

• "edit a 3-minute unedited screen recording into a 1080p MP4"
• "trim the pauses, add background music, and export at 1080p"
• "trimming and polishing raw footage for social media or presentations for content creators and marketers"

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.

Video Editing Online — Edit and Export Videos Online

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

Here's a typical use: you send a a 3-minute unedited screen recording, ask for trim the pauses, add background music, and export at 1080p, 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 clips under 2 minutes process significantly faster.

Matching Input to Actions

User prompts referencing video editing online, 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is video-editing-online, 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).

All requests must include: Authorization: Bearer <NEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

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 Codes

• 0 — success, continue normally
• 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
• 1002 — session not found; create a new one
• 2001 — out of credits; anonymous users get a registration link with ?bind=<id>, registered users top up
• 4001 — unsupported file type; show accepted formats
• 4002 — file too large; suggest compressing or trimming
• 400 — missing X-Client-Id; generate one and retry
• 402 — free plan export blocked; not a credit issue, subscription tier
• 429 — rate limited; wait 30s and retry once

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "trim the pauses, add background music, and export at 1080p" — 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.

Common Workflows

Quick edit: Upload → "trim the pauses, add background music, and export at 1080p" → 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.