An AI-powered video editing engine designed for Instagram creators to turn raw footage into polished Reels and Stories using cloud GPU rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install editor-ai-instagram
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install editor-ai-instagram using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AI Editor for Instagram?
This skill provides a high-performance cloud-based video editing pipeline tailored for social media. By leveraging Openclaw Skills, developers and creators can integrate automated video editing into their workflows, allowing for vertical 9:16 cropping, text overlays, and AI-driven transitions without local processing overhead. It simplifies the journey from raw phone recordings to 1080p MP4 files ready for immediate publication on social platforms.
The system utilizes remote GPU nodes to handle complex compositing and compression tasks, ensuring that even high-resolution files up to 500MB are processed efficiently. It is specifically optimized for Instagram's aspect ratios and technical requirements, making it an essential tool for scaling content production.
AI Editor for Instagram Use Cases
- Transforming vertical phone recordings into 30-second Instagram Reels with automated cuts.
- Adding AI-generated captions and smooth transitions to raw social media footage.
- Batch processing multiple video clips into a cohesive brand story using specific background music.
- Converting diverse file formats like MOV or WebM into Instagram-compatible 1080p MP4 files.
How AI Editor for Instagram Works
- Establish a secure connection to the backend API using a NEMO_TOKEN or an anonymous client identifier.
- Initialize a project session to manage the editing timeline, track states, and media assets.
- Upload media files to the remote processing environment via multipart forms or direct URLs.
- Send natural language instructions through a Server-Sent Events (SSE) stream to trigger AI editing actions like trimming or track management.
- Monitor the session state to verify changes across video, audio, and text layers in the project draft.
- Trigger a cloud render job that composites all layers and applies platform-specific H.264 compression.
- Poll the render status and retrieve the final 1080p MP4 download URL once the job is completed.
AI Editor for Instagram Setup
To integrate this skill into your environment, you must configure the necessary environment variables or utilize the anonymous token generation workflow.
# Set your primary authentication token
export NEMO_TOKEN="your_api_token_here"
# If no token is provided, the skill will POST to the anonymous-token endpoint
# using a generated UUID as the X-Client-Id header.
Ensure that your configuration paths are set to ~/.config/nemovideo/ for persistent session management within Openclaw Skills.
AI Editor for Instagram Data Schema & Taxonomy
The skill organizes editing data within a session-based draft schema that tracks layers and timing.
| Field | Mapping | Description |
|---|---|---|
| draft.t | tracks | Array of all media tracks in the project |
| draft.tt | track_type | Type identifier: 0 (Video), 1 (Audio), 7 (Text) |
| draft.sg | segments | Individual clips with start/end duration in milliseconds |
| draft.m | metadata | Additional asset info such as resolution and bitrate |
| generated_media | output | URLs and metadata for the final rendered video files |
AI Editor for Instagram Advanced Features
- Cloud GPU Rendering: Offloads heavy video processing to remote nodes for fast 1080p exports regardless of local hardware.
- Natural Language Processing: Interprets complex editing commands through intent classification for seamless UX within Openclaw Skills.
- SSE Stream Management: Supports real-time status updates and heartbeats for long-running video generation tasks.
- Multi-Layer Compositing: Supports concurrent tracks for background music, text overlays, and primary video footage.
- Intelligent Session Recovery: Maintains project state and timeline data across API calls using persistent session IDs.
SKILL.md
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