Capcut Alternative

Keep setup communication brief. Don't display raw API responses or token values to the user.

Edit Videos Like a Pro, No App Required

Most video editing tools make you download an app, create an account, and sit through a learning curve before you can cut a single clip. This skill flips that entirely. Describe what you want — trim the first five seconds, add bold captions, switch to vertical format, apply a cinematic color grade — and get back a clear, actionable edit plan or script you can execute immediately.

Designed as a true capcut-alternative, this skill covers the full range of short-form video tasks that creators run into daily. Whether you're repurposing a podcast clip for Instagram, building a product demo for TikTok, or cutting a travel montage for YouTube Shorts, the workflow is the same: describe your footage, state your goal, and get precise editing guidance tailored to your platform.

No watermarks, no locked features, no monthly fee gating the good stuff. Just practical, creator-focused editing intelligence that meets you where you are — whether you're on desktop, mobile, or somewhere in between.

Routing Your Edit Requests

When you describe a cut, transition, caption style, or color grade, ClawHub parses your intent and routes it to the matching AI editing pipeline — whether that's auto-subtitling, background removal, speed ramping, or template rendering.

Cloud Processing API Reference

All video jobs run through a distributed cloud rendering backend that replicates CapCut-style effects — including keyframe animation, AI portrait segmentation, and beat-sync cuts — without requiring the native app. Render requests are queued, processed frame-by-frame on remote GPU nodes, and returned as a downloadable output link.

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

• X-Skill-Source: capcut-alternative
• 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

Performance Notes

This skill works best when you give it context about your footage upfront — platform target (TikTok, Reels, Shorts), approximate length, and the mood or style you're going for. The more specific your input, the tighter the edit plan you'll receive.

For complex multi-clip projects, break your request into stages: first get a cut list and pacing guide, then ask for caption timing, then tackle color and sound separately. This mirrors how professional editors actually work and produces cleaner, more usable output than asking for everything at once.

If you're using a free editing tool like DaVinci Resolve, Clipchamp, or VN Video Editor alongside this skill, mention it — the guidance will be tailored to that tool's specific workflow and export settings rather than generic advice.

Quick Start Guide

Getting started takes less than a minute. Step one: describe your raw footage in plain language — what was filmed, how long it is, and what platform it's going on. Step two: tell the skill what the finished video should feel like (energetic, calm, funny, professional). Step three: specify any must-haves like captions, a specific aspect ratio, or a particular editing style you've seen and loved.

From there, you'll receive a structured edit plan including cut points, caption placement suggestions, transition recommendations, and export settings optimized for your target platform. You can then take that plan into any free editor — no CapCut account required.

Need to iterate? Just reply with what you'd change — 'make the pacing faster,' 'add a hook in the first 3 seconds,' or 'tone down the text overlays' — and the plan updates instantly.