Ai Video Maker Free Gemini

Skip the learning curve of professional editing software. Describe what you want — create a 30-second video from this script using Gemini AI — and get AI-gen...

Security Scan

The skill mostly does what it says (wraps a remote video-generation API) but the runtime instructions ask the agent to obtain and persist tokens, detect install paths, and reference a config path not declared in the registry metadata — these inconsistencies and the fact that user content and tokens will be sent to an external service deserve caution.

Purpose & Capability

The skill's name/description (AI video generation) matches the network calls and API endpoints in SKILL.md (nemovideo.ai). Requiring a NEMO_TOKEN is proportionate. However, SKILL.md frontmatter includes a required config path (~/.config/nemovideo/) while the registry metadata reported no config paths — this mismatch should be clarified. The external API host (mega-api-prod.nemovideo.ai) is not documented elsewhere (homepage/source unknown), which is a trust consideration but not a direct coherence failure.

Instruction Scope

Runtime instructions tell the agent to create anonymous tokens, POST user data and uploads to the external API, save session_id and tokens, and derive headers by inspecting install paths (~/.clawhub/, ~/.cursor/skills/). That requires reading filesystem state and persisting session information; SKILL.md does not specify where/how tokens/session IDs are stored. The agent will transmit user text and uploaded files to an external service — expected for this kind of skill, but it is sensitive behavior and scope-creep (filesystem inspection + persistent token storage) is present.

Install Mechanism

This is an instruction-only skill with no install spec and no code files. That minimizes on-disk install risk.

Credentials

Only one environment variable (NEMO_TOKEN) is declared as primaryEnv — appropriate for an API-backed service. But SKILL.md frontmatter also lists a config path (~/.config/nemovideo/) that the registry metadata omitted; the discrepancy should be resolved. No other unrelated secrets are requested.

Persistence & Privilege

always:false and normal autonomous invocation. The instructions explicitly tell the agent to 'save session_id' and to generate/store anonymous tokens if NEMO_TOKEN is absent; where these are stored is unspecified. Persisting tokens/session state to disk or agent storage increases residual access risk and should be confirmed before installation.

What to consider before installing

This skill will send any text and file uploads you give it to mega-api-prod.nemovideo.ai and will either use a provided NEMO_TOKEN or obtain an anonymous token (short-lived) and save session IDs/tokens. Before installing, consider: (1) Do you trust the external domain (no homepage/source provided)? (2) Avoid uploading sensitive or private data — uploads and prompts are transmitted to that service. (3) Ask where the skill will persist tokens/session IDs (in-memory only vs written to disk) and whether the agent will create ~/.config/nemovideo/. (4) Confirm the small metadata inconsistency (config path present only in SKILL.md). If you are uncomfortable with an unknown third-party receiving your content or with persistent tokens, do not install or run the skill until those questions are answered.

Getting Started

Ready when you are. Drop your text or prompts here or describe what you want to make.

Try saying:

• "generate a short text description of a product launch into a 1080p MP4"
• "create a 30-second video from this script using Gemini AI"
• "generating videos from text prompts using Gemini AI for free for content creators"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: <uuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

AI Video Maker Free Gemini — Generate Videos with Gemini AI

Send me your text or prompts and describe the result you want. The AI video generation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a short text description of a product launch, type "create a 30-second video from this script using Gemini AI", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: shorter, clearer prompts produce more accurate video results.

Matching Input to Actions

User prompts referencing ai video maker free gemini, 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.

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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is ai-video-maker-free-gemini, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

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.

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

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

• "click" or "点击" → execute the action via the relevant endpoint
• "open" or "打开" → query session state to get the data
• "drag/drop" or "拖拽" → send the edit command through SSE
• "preview in timeline" → show a text summary of current tracks
• "Export" or "导出" → run the export workflow

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.

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)

Common Workflows

Quick edit: Upload → "create a 30-second video from this script using Gemini AI" → 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "create a 30-second video from this script using Gemini AI" — concrete instructions get better results.

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

Export as MP4 for widest compatibility across platforms and devices.