An automated tool to download Instagram Reels, extract metadata captions, and generate high-accuracy audio transcriptions using AI.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install instagram-reels
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install instagram-reels using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This powerful entry in the Openclaw Skills library enables developers and content creators to programmatically process social media content. By leveraging yt-dlp for extraction and Groq's high-speed Whisper model for transcription, it provides a seamless bridge between visual media and searchable text data. It is designed to work with public reels out of the box and supports authenticated requests for private content through cookie injection.
The skill is optimized for speed, utilizing the whisper-large-v3-turbo model to return full transcriptions in seconds. It handles the entire lifecycle of media processing, from fetching CDN URLs to converting audio formats, making it an essential utility for anyone building automated social media monitoring or content repurposing workflows.
To use this skill within the Openclaw Skills ecosystem, ensure you have the necessary dependencies and environment variables configured:
# Install required CLI tools and libraries
pip install yt-dlp
sudo apt install ffmpeg # Use 'brew install ffmpeg' on macOS
# Configure your API access
export GROQ_API_KEY="your-groq-api-key"
The skill organizes processed media and metadata using a structured temporary file system and JSON responses:
| Data Component | Format | Description |
|---|---|---|
reel.info.json |
JSON | Contains the original description, uploader name, duration, and format URLs. |
reel-audio.mp3 |
MP3 | The extracted and converted audio track used for AI processing. |
text |
String | The full, auto-detected language transcription from the Groq API. |
segments |
Array | Detailed timestamps and per-sentence data for precise caption alignment. |
Loading
A structured, staged educational agent designed to guide users from basic CLI operations to deep architectural understanding of OpenClaw.

A comprehensive CLI-driven skill for resolving locations, planning multi-modal routes, and monitoring real-time transit disruptions within the Île-de-France Mobilités network.

A high-performance skill for fetching real-time market data and stock quotes optimized for AI agents and LLM token efficiency.

An automated productivity framework that synchronizes tasks, calendars, and revenue data into structured daily briefings and evening reflections.

RenderKit enables AI agents to instantly generate polished, hosted web pages and interactive data-collection forms from structured JSON data.

A professional financial tracking tool for fetching real-time quotes, historical data, and managing asset watchlists via AI agents.








































