Getting Started

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.

Edit Smarter — Let AI Do the Heavy Lifting

Most video editing tools hand you a blank timeline and expect you to figure the rest out. This skill works differently. Describe your footage, your goal, or the platform you're targeting — and get back a structured edit plan, caption suggestions, scene-by-scene cut recommendations, and even b-roll ideas tailored to your content.

Whether you're trimming a long interview into a punchy 60-second reel, adapting a landscape video for TikTok, or building a product demo from scratch, this skill guides every decision. You don't need to be a professional editor to produce something that looks like you are.

This is especially useful for solo creators, small marketing teams, and agencies juggling multiple video projects at once. Instead of staring at raw clips wondering where to start, you get a clear editing roadmap — complete with pacing notes, text overlay ideas, and platform-specific formatting guidance — so you can move from footage to final cut in a fraction of the usual time.

Routing Edits to the Right Engine

Each request — whether you're triggering smart cuts, generating auto-captions, applying B-roll suggestions, or exporting a polished timeline — is parsed and routed to the appropriate AI processing pipeline based on the detected edit intent and media context.

Cloud Processing API Reference

All render jobs, transcription requests, and scene-detection tasks are handled via ClawHub's cloud backend, which offloads heavy frame analysis and model inference away from your local machine. Latency varies by clip length, resolution, and queue depth — longer timelines with 4K assets will take more processing cycles than short-form vertical cuts.

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

• X-Skill-Source: ai-video-editing-software
• 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.

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

~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.

Backend Response Translation

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

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

Best Practices for AI-Assisted Video Editing

Get the most out of this skill by being specific about your footage before asking for edit suggestions. Instead of saying 'help me edit my video,' describe the content type, approximate length, target platform, and the emotional tone you want — for example, 'I have a 7-minute cooking tutorial I want to cut to 2 minutes for YouTube Shorts with an upbeat feel.'

For caption and text overlay requests, mention your brand voice. Casual and punchy captions for TikTok look very different from professional subtitles for a corporate training video — giving that context upfront produces much sharper results.

When planning cuts, share the rough structure of your footage (e.g., 'the first 3 minutes are setup, minutes 3-6 are the main demo, the last minute is a call to action'). This lets the skill generate a precise scene-by-scene edit plan rather than generic advice. Use the output as a blueprint you bring into your actual editing software — whether that's Premiere, DaVinci Resolve, CapCut, or anything else.

Frequently Asked Questions

Can this skill actually edit my video files? This skill works with text — it creates edit plans, scripts, captions, transition notes, and structure guides. You then apply those decisions in your preferred video editing software. Think of it as your AI editor who tells you exactly what to do, cut by cut.

What platforms can I optimize videos for? You can request formatting and pacing guidance for YouTube, Instagram Reels, TikTok, LinkedIn, Facebook, X (Twitter), and more. Each platform has different aspect ratio, length, and caption style norms — just mention your target platform.

Can it help with voiceovers and scripts? Yes — if you need a narration script, a spoken intro, or a voiceover to lay over b-roll, describe your footage and audience and the skill will write it for you.

Is this useful if I'm a complete beginner? Absolutely. The skill is designed to translate your raw idea or footage description into a clear, actionable edit plan — no prior editing knowledge required to get value from it.