Video Editing Software

Drop a rough cut or describe your project and get expert guidance on video-editing-software in seconds. Whether you're stuck on color grading in DaVinci Reso...

Security Scan

The skill’s declared purpose (video-editing guidance with cloud processing) largely matches its instructions, but there are a few inconsistencies and privacy-relevant behaviors you should understand before installing.

Purpose & Capability

The skill claims to provide cloud-backed video editing guidance and rendering — requiring a NEMO_TOKEN and talking to mega-api-prod.nemovideo.ai is coherent with that purpose. However, the registry metadata marks NEMO_TOKEN as required while the SKILL.md explicitly generates an anonymous token if NEMO_TOKEN is absent, so the env-var requirement is effectively optional; this mismatch should be clarified.

Instruction Scope

Runtime instructions direct the agent to upload user video files and poll a third‑party render service, which fits the stated purpose. But the SKILL.md also instructs the agent to detect the agent's install path (checking ~/.clawhub/ and ~/.cursor/skills/) to set X-Skill-Platform — those paths are referenced in runtime instructions but are not declared in the skill's configPaths metadata. The skill also says to read its own YAML frontmatter at runtime for attribution headers. Reading system install paths that weren't declared is a scope creep and should be justified.

Install Mechanism

This is an instruction-only skill with no install spec and no code files, which is the lowest-risk install mechanism.

Credentials

Only one environment variable (NEMO_TOKEN) is declared as the primary credential, which is reasonable for a cloud service. However, the SKILL.md will generate and use an anonymous token when NEMO_TOKEN is missing, meaning the declared 'required' env var is not strictly required — an inconsistency. The skill also references a config path (~/.config/nemovideo/) in metadata; reading that directory could be normal for local config but the instructions do not explain what data will be read there.

Persistence & Privilege

The skill does not request always:true and does not declare any elevated or persistent system privileges. Autonomous invocation is enabled by default (normal).

What to consider before installing

This skill appears to do what it claims (cloud-backed video editing guidance and rendering), but review these points before installing: - Network & privacy: The skill uploads video and project data to mega-api-prod.nemovideo.ai and uses a bearer token (NEMO_TOKEN). That means your video and project metadata will be transmitted to a third party. Don’t upload sensitive footage unless you trust the service and have reviewed its privacy/retention policies. - Token behavior: The registry marks NEMO_TOKEN as required, but the SKILL.md will request an anonymous token if none is present. Decide whether you want to supply your own token (if you have an account) or allow the skill to obtain a short-lived anonymous token. - Filesystem access: The runtime instructions ask the agent to detect install paths (~/.clawhub/, ~/.cursor/skills/) and may read its own frontmatter and a config dir (~/.config/nemovideo/). The skill’s metadata declares only ~/.config/nemovideo/ as a config path — if you’re uncomfortable with the agent inspecting other home-directory paths, ask the maintainer to clarify why those checks are needed. - Attribution headers: The skill requires adding X-Skill-* headers taken from the skill frontmatter and install path. This is normal for attribution but means the agent will read the SKILL.md and local path data to populate headers. If you plan to use this skill, confirm the trustworthiness of the nemovideo service, avoid uploading confidential footage, and consider supplying your own account token rather than relying on anonymous tokens. If you need higher assurance, ask the publisher to resolve the metadata/instruction mismatches (required env vs. optional token generation, and undeclared install-path reads).

Getting Started

Welcome to your video editing co-pilot — whether you're wrestling with a timeline, picking the right software, or trying to nail your export settings, I've got you covered. Tell me what you're working on and let's get your project moving.

Try saying:

• "I'm using DaVinci Resolve and I can't figure out how to do a smooth J-cut transition between two interview clips — can you walk me through it?"
• "I need to compare Adobe Premiere Pro vs Final Cut Pro for editing YouTube vlogs. I'm on a Mac and upload twice a week. Which one should I use?"
• "My exported video from Premiere Pro looks washed out and pixelated when I upload it to Instagram. What export settings should I be using?"

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.

Your On-Demand Video Editing Coach Is Here

Editing video is equal parts craft and software literacy — and most people get stuck not because they lack creativity, but because the tools get in the way. This skill bridges that gap by giving you instant, practical guidance across the most popular video-editing-software platforms available today, from beginner-friendly apps like CapCut and iMovie to professional-grade tools like Adobe Premiere Pro, DaVinci Resolve, and Final Cut Pro.

Describe what you're trying to accomplish — cut a talking-head interview down to two minutes, add animated text overlays, sync audio to a beat, fix shaky footage — and get a clear, actionable walkthrough tailored to the software you're actually using. No generic advice. No hunting through YouTube tutorials. Just the exact steps for your exact tool.

Whether you're a content creator editing Reels, a small business owner producing product videos, or a filmmaker working on a short film, this skill adapts to your workflow and experience level. Think of it as having an experienced editor sitting next to you, ready to answer the question you're embarrassed to Google.

Routing Edits to the Right Tools

When you describe a task — trimming a clip, color grading a sequence, or exporting a final cut — your request is parsed and routed to the specific editing module, effect engine, or export pipeline best suited to handle it.

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 Processing API Reference

All render-heavy operations — including multicam syncing, proxy generation, and codec transcoding — are offloaded to a distributed cloud backend that processes frame data in parallel to keep your timeline responsive. API calls return job IDs you can poll for render status, progress percentage, and output file URIs once encoding completes.

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

• X-Skill-Source: 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

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.

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 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

Use Cases

This skill covers the full range of video editing software scenarios that real creators and professionals face daily. Content creators can get help choosing between CapCut, DaVinci Resolve Free, and Premiere Pro based on their platform and upload frequency. Small business owners producing product demos or testimonial videos can learn the fastest path from raw footage to a polished final cut without a steep learning curve.

Filmmakers and video students working on narrative projects can get guidance on advanced techniques — multicam editing, color grading with LUTs, noise reduction in Audition, or visual effects workflows using After Effects alongside Premiere. Educators and course creators can learn how to add captions, zoom effects, and screen recordings efficiently.

Event videographers, wedding editors, and social media managers each have distinct workflows, and this skill adapts its guidance to match — whether that means batch exporting in Final Cut Pro or building a template-based workflow in CapCut for consistent brand output.

Common Workflows

Some of the most frequently requested workflows include trimming and assembling a rough cut, syncing dual-camera or multi-mic audio, adding and styling lower-third text overlays, applying color correction and LUT-based color grading, and exporting for specific platforms like YouTube, TikTok, LinkedIn, or broadcast.

Users also frequently need help with: removing background noise from dialogue, stabilizing shaky handheld footage, creating smooth slow-motion sequences, building intro and outro animations, and converting horizontal footage to vertical 9:16 format without losing the subject in frame.

For software-specific workflows, this skill handles Premiere Pro sequence settings and proxy editing, DaVinci Resolve's Fusion and Color pages, Final Cut Pro's Magnetic Timeline and Roles system, and CapCut's template and auto-caption features. If your workflow involves multiple tools — say, editing in Premiere but compositing in After Effects — this skill can map out the handoff process step by step.