Video Editing Generator

Skip the learning curve of professional editing software. Describe what you want — trim the pauses, add transitions, and sync background music — and get edit...

Security Scan

The skill's required token, API calls, and file uploads align with a remote video-editing service; nothing in the instructions requests unrelated credentials or system-wide privileges.

Purpose & Capability

Name and description match the runtime instructions: the skill uploads user video files to a remote API, creates sessions, streams edits, and returns rendered MP4s. Requesting a single service token (NEMO_TOKEN) and supporting anonymous token flow is consistent with a cloud video-rendering service.

Instruction Scope

Most instructions stay within expected bounds (upload files, create session, poll render status, read SSE). The skill also instructs the agent to read its own frontmatter for X-Skill-Version and to detect an install path (e.g., ~/.clawhub/ or ~/.cursor/skills/) to populate X-Skill-Platform; this requires reading local paths and could reveal which agent platform is installed. That behavior is explainable for attribution headers but is more invasive than purely network-only actions.

Install Mechanism

Instruction-only skill with no install spec or code files; nothing is written to disk by an installer. This is the lowest-risk install profile.

Credentials

Only NEMO_TOKEN is declared as required and used. The SKILL.md defines an anonymous-token fallback flow so the skill can operate without user secrets. No unrelated credentials or broad environment access are requested.

Persistence & Privilege

always:false and no instructions ask to modify other skills or system-wide settings. The skill does not request permanent presence or elevated privileges beyond normal network access.

Assessment

This skill appears to be a straightforward client for a remote video-rendering service. Before installing or using it: (1) Understand that any video you upload will be sent to https://mega-api-prod.nemovideo.ai — review that service's privacy and retention policy if you are uploading sensitive footage. (2) The skill uses NEMO_TOKEN for authorization but can fall back to an anonymous token flow; if you provide a real NEMO_TOKEN it grants the service access tied to that account. (3) The skill will attempt to detect your agent install path and read its own frontmatter to set X-Skill-Platform/X-Skill-Version headers — this reveals which local agent platform you use; if you prefer not to expose that, ask for an option to set these headers manually or decline the skill. (4) If you need higher assurance, verify the API domain and HTTPS certificate, or run uploads through a controlled account and test with non-sensitive clips first. If you want a deeper review, provide the full SKILL.md (complete, untruncated) and any additional documentation or the service's privacy/TOS links.

Getting Started

Share your raw video footage and I'll get started on AI automated editing. Or just tell me what you're thinking.

Try saying:

• "edit my raw video footage"
• "export 1080p MP4"
• "trim the pauses, add transitions, and"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

• Generate a UUID as client identifier
• POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
• The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

Video Editing Generator — Edit and Export Polished Videos

Send me your raw video footage and describe the result you want. The AI automated editing runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 3-minute unedited phone recording, type "trim the pauses, add transitions, and sync background music", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: shorter clips under 2 minutes process significantly faster.

Matching Input to Actions

User prompts referencing video editing generator, 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.

Base URL: https://mega-api-prod.nemovideo.ai

Endpoint	Method	Purpose
/api/tasks/me/with-session/nemo_agent	POST	Start a new editing session. Body: {"task_name":"project","language":"<lang>"}. Returns session_id.
/run_sse	POST	Send a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min.
/api/upload-video/nemo_agent/me/<sid>	POST	Upload a file (multipart) or URL.
/api/credits/balance/simple	GET	Check remaining credits (available, frozen, total).
/api/state/nemo_agent/me/<sid>/latest	GET	Fetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambda	POST	Start export. Body: {"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s.

Accepted file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

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

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

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

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.

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend says	You do
"click [button]" / "点击"	Execute via API
"open [panel]" / "打开"	Query session state
"drag/drop" / "拖拽"	Send edit via SSE
"preview in timeline"	Show track summary
"Export button" / "导出"	Execute export workflow

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 "trim the pauses, add transitions, and sync background music" — concrete instructions get better results.

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

Export as MP4 with H.264 codec for the widest platform compatibility.

Common Workflows

Quick edit: Upload → "trim the pauses, add transitions, and sync background music" → 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.