Gemini Ai Video Editor

Tell me what you need and I'll help you craft, refine, and transform your video content using gemini-ai-video-editor. Whether you're trimming footage, writin...

Security Scan

The skill's behavior mostly matches a cloud-backed video editor but has inconsistencies (metadata vs manifest), a misleading 'Gemini' attribution vs a third‑party backend, and instructions that will automatically request anonymous tokens and upload local files — all of which warrant caution before install.

Purpose & Capability

Name/description claim an AI 'Gemini' video editor and the SKILL.md describes a cloud-backed editing pipeline — which aligns with requiring a NEMO_TOKEN and remote API calls. However, the skill attributes processing to 'Google's Gemini' while the actual backend endpoints point to mega-api-prod.nemovideo.ai (a third‑party domain). Also SKILL.md metadata includes a configPath (~/.config/nemovideo/) not reflected in the registry manifest — an inconsistency between what the skill says it needs and what the registry declares.

Instruction Scope

The runtime instructions direct the agent to perform network operations (create session, SSE message streaming) and to upload files using multipart form uploads (files=@/path). That is coherent for a video editor but means the agent will read user-supplied file paths and send potentially large/local media to an external service. The skill also instructs the agent to auto-generate an anonymous NEMO_TOKEN by POSTing to an external auth endpoint when no env var is present — this initiates network activity without an explicit separate permission step. The instructions also require detecting install paths on disk to set an X-Skill-Platform header, which involves peeking at the local filesystem.

Install Mechanism

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

Credentials

The skill declares a single primary credential NEMO_TOKEN, which is appropriate for a third‑party API. However, SKILL.md's frontmatter also lists a config path (~/.config/nemovideo/) even though the registry metadata reported no required config paths — inconsistent declarations. The agent will also create/obtain an anonymous token if NEMO_TOKEN is absent, which results in the skill gaining API credentials automatically. No other unrelated credentials are requested.

Persistence & Privilege

always:false and normal model invocation; the skill does not request permanent platform-wide presence nor does it request to modify other skills or system-wide settings. It does instruct storing a session_id for operations, which is expected for interactive sessions.

What to consider before installing

This skill is mostly coherent for a cloud-based video editor, but take these precautions before installing: (1) Verify the backend/service: confirm that nemovideo.ai is the legitimate vendor you expect and check its privacy/billing policy. (2) Supply your own NEMO_TOKEN only if you trust the service; otherwise the skill will request an anonymous token automatically (network call) — be aware it will create credentials and use an external API. (3) Avoid uploading sensitive local files; the skill's upload flow will send files you point it to. (4) Ask the author to clarify the apparent 'Gemini' branding vs the nemovideo.ai backend and to fix the inconsistent configPath/manifest declarations. (5) If you must test, run in a sandboxed environment and monitor outbound network calls and data uploaded. If you need higher confidence, request the skill source code or official vendor documentation before enabling.

Getting Started

Welcome to Gemini AI Video Editor — your AI-powered editing partner for smarter cuts, tighter scripts, and more compelling visuals. Tell me about your video project and let's start building something great together.

Try saying:

• "Write a YouTube intro script"
• "Suggest B-roll for my interview"
• "Cut this to 60 seconds"

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.

Edit Smarter, Not Harder With Gemini AI

Video editing has always demanded both technical skill and creative instinct. Gemini AI Video Editor bridges that gap by giving you an intelligent collaborator that understands your footage, your goals, and your audience — all at once.

Whether you're working on a YouTube documentary, a product launch reel, a short-form social clip, or a full-length brand film, this skill helps you think through your edit structure, generate narration scripts, suggest pacing improvements, and describe visual transitions that actually serve your story. You don't have to be a professional editor to produce professional-quality results.

Gemini AI Video Editor is designed for creators who move fast and think visually. Describe your raw footage, share your timeline, or paste in your script — and get back actionable editing direction, creative suggestions, and polished copy that makes your final cut land harder.

Routing Your Edit Requests

Every prompt you send — whether trimming a sequence, generating captions, or applying a color grade — is parsed by Gemini's multimodal understanding layer and routed to the appropriate editing pipeline based on intent, timeline context, and asset type.

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	❌

Gemini API Backend Reference

Gemini AI Video Editor offloads all heavy compute — frame analysis, generative B-roll synthesis, audio-visual alignment — to Google's Gemini cloud backend via authenticated API calls, so your local machine never bottlenecks the render. Processing latency scales with clip length and the complexity of your prompt, not your hardware.

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

• X-Skill-Source: gemini-ai-video-editor
• 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

Integration Guide for Gemini AI Video Editor

Gemini AI Video Editor works best as a creative layer on top of your existing editing workflow. Use it alongside tools like DaVinci Resolve, Adobe Premiere Pro, or CapCut — not as a replacement, but as your pre-edit planner and script generator.

Start your project by describing your raw footage to the skill and asking for an edit structure. Export that structure as a shot list or sequence outline, then use it to guide your actual timeline assembly in your editing software. This saves significant time during the rough cut phase.

For teams, Gemini AI Video Editor can serve as a shared creative brief generator. Have one team member run the footage description through the skill, generate a structured edit plan and narration draft, then hand that document off to editors and voiceover artists as a production reference.

Content creators running high-volume channels can use the skill to batch-generate intro scripts, outro CTAs, and chapter markers across multiple videos at once — keeping output consistent without burning creative energy on repetitive copy tasks.

Best Practices for Gemini AI Video Editor

To get the most precise and useful output from Gemini AI Video Editor, give it as much context as possible about your footage. Instead of saying 'edit my video,' describe what you've shot: the number of clips, their approximate length, the mood you're going for, and your target platform (Instagram Reels, YouTube, LinkedIn, etc.).

When asking for scripts or narration, specify your tone — casual, authoritative, emotional, energetic — and mention your audience. A script for a B2B SaaS demo needs completely different pacing than one for a travel vlog or a nonprofit appeal.

For structural editing guidance, share your current timeline or scene list if you have one. Gemini AI Video Editor can identify pacing issues, flag redundant sections, and recommend where to place music breaks or visual emphasis points when it knows what you're working with.

Finally, iterate. Use follow-up prompts to refine suggestions — ask for a shorter version, a different tone, or alternative transition ideas until the direction feels exactly right.