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Ai Video Editor Edimakor

by peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install ai-video-editor-edimakor
Description
Get polished edited clips ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, MKV, up to 500MB), say something lik...
README (SKILL.md)

Getting Started

Share your raw video footage and I'll get started on AI video editing. Or just tell me what you're thinking.

Try saying:

  • "edit my raw video footage"
  • "export 1080p MP4"
  • "cut out silences, add transitions, and"

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: \x3Cuuid>. 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 Editor Edimakor — Edit and Export Finished Videos

Drop your raw video footage in the chat and tell me what you need. I'll handle the AI video editing on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 3-minute unedited screen recording, ask for cut out silences, add transitions, and overlay background music, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — shorter clips under 2 minutes process significantly faster and use fewer credits.

Matching Input to Actions

User prompts referencing ai video editor edimakor, 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.

Base URL: https://mega-api-prod.nemovideo.ai

Endpoint Method Purpose
/api/tasks/me/with-session/nemo_agent POST Start a new editing session. Body: {"task_name":"project","language":"\x3Clang>"}. Returns session_id.
/run_sse POST Send a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min.
/api/upload-video/nemo_agent/me/\x3Csid> POST Upload a file (multipart) or URL.
/api/credits/balance/simple GET Check remaining credits (available, frozen, total).
/api/state/nemo_agent/me/\x3Csid>/latest GET Fetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambda POST Start export. Body: {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s.

Accepted file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is ai-video-editor-edimakor, 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).

Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

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=\x3Cid> (get \x3Cid> 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

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.

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

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 → "cut out silences, add transitions, and overlay background music" → 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 "cut out silences, add transitions, and overlay background music" — concrete instructions get better results.

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

Export as MP4 with H.264 codec for the widest platform compatibility.

Usage Guidance
This skill looks coherent for a cloud AI video editor, but consider these practical checks before installing: - Confirm you trust the endpoint domain (mega-api-prod.nemovideo.ai) and the service's privacy policy — you'll be uploading raw video. - The skill needs a NEMO_TOKEN (or it will obtain an anonymous token). Do not paste unrelated secrets into the chat. - Clarify the metadata mismatch: SKILL.md references ~/.config/nemovideo/ for configPaths while the registry showed none — ask the author whether the skill will read that path. - Understand token lifecycle: anonymous tokens expire and carry limited credits; registered accounts may be required for exports. - If you are concerned about automatic filesystem access, ask how X-Skill-Platform is detected (it implies reading an install path). If any of the above is unacceptable (privacy of uploaded media, unknown domain, ambiguous filesystem access), do not install or ask the publisher for clarification first.
Capability Analysis
Type: OpenClaw Skill Name: ai-video-editor-edimakor Version: 1.0.0 The skill bundle provides a legitimate integration for the Edimakor AI video editing service, facilitating video uploads and processing via the nemovideo.ai API. It contains detailed instructions for session management, token handling (NEMO_TOKEN), and error recovery consistent with its stated purpose, with no evidence of malicious intent, data exfiltration, or unauthorized execution.
Capability Assessment
Purpose & Capability
The name/description describe remote AI video editing and the SKILL.md exclusively details calls to nemovideo API endpoints and upload/render flows — requiring a NEMO_TOKEN is proportionate. Note: the SKILL.md frontmatter lists a configPaths entry (~/.config/nemovideo/) even though the registry metadata shown to the scanner reported no required config paths; this is an internal metadata mismatch that should be clarified but does not by itself indicate malicious intent.
Instruction Scope
Runtime instructions are narrowly scoped to creating/refreshing a nemo anonymous token, creating a session, uploading user media, streaming SSE edits, polling render status, and exporting downloads. The skill instructs including attribution headers and detecting an install path to set X-Skill-Platform (this may require reading agent install path or similar runtime metadata). There are no instructions to read arbitrary user files or other credentials. The only potential scope creep is the implied need to inspect an install path to set headers; confirm how that path is determined.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest-risk installation footprint (nothing is written/executed by an install step).
Credentials
The skill requires a single service credential (NEMO_TOKEN) which is appropriate for a cloud editing API. The SKILL.md also documents creating anonymous tokens via the API if no token is present (with limited credits/expiry). No other unrelated secrets or platform credentials are requested.
Persistence & Privilege
always is false and the skill does not request elevated or permanent presence. The SKILL.md asks to save session_id and to reuse tokens (normal for sessioned APIs) but does not instruct modifying other skills or system-wide configs.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ai-video-editor-edimakor
  3. After installation, invoke the skill by name or use /ai-video-editor-edimakor
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
AI Video Editor Edimakor launches with a streamlined workflow for AI-powered video editing and export. - Upload raw video footage (MP4, MOV, AVI, MKV, up to 500MB), describe your edit needs, and receive polished 1080p MP4 outputs. - No manual editing: Simply specify actions like "cut out silences" or "add transitions," and the cloud-based engine handles the rest. - Built for speed: Quick edits (1-2 minutes for short clips) and easy export, ideal for YouTubers and content creators. - Automatic connection setup, credit management, and clear error handling for a smooth experience. - Supports multiple file types, session-based workflows, and credit tracking.
Metadata
Slug ai-video-editor-edimakor
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Ai Video Editor Edimakor?

Get polished edited clips ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, MKV, up to 500MB), say something lik... It is an AI Agent Skill for Claude Code / OpenClaw, with 73 downloads so far.

How do I install Ai Video Editor Edimakor?

Run "/install ai-video-editor-edimakor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Ai Video Editor Edimakor free?

Yes, Ai Video Editor Edimakor is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Ai Video Editor Edimakor support?

Ai Video Editor Edimakor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Ai Video Editor Edimakor?

It is built and maintained by peandrover adam (@peand-rover); the current version is v1.0.0.

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