LaunchKit · 2026
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clawdbites

Extract recipes from Instagram reels.

0
1.7k downloads
by @kylelol

Setup & Installation

openclaw skills install @kylelol/clawdbites

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install clawdbites

What This Skill Does

Extracts recipes from Instagram reels using a three-stage pipeline: caption parsing, local audio transcription with Whisper, and video frame analysis. Works on public reels without an Instagram login. Infers missing measurements when quantities aren't stated in the source.

Automatically chains caption, audio, and frame analysis in one pass rather than stopping at an incomplete caption, which covers the common pattern where creators put ingredients in the description and instructions in the voiceover.

When to use it

  • Getting a recipe from a reel someone sent you
  • Recovering cooking steps when a creator speaks instructions but only lists ingredients in the caption
  • Extracting macro breakdowns from fitness cooking reels
  • Building a saved recipe wishlist from Instagram content
  • Parsing a recipe card shown as text overlay in a video

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Can you get the recipe from this reel? https://www.instagram.com/reel/ABC123/

AGENT
  1. 1Runs yt-dlp --dump-json to fetch reel metadata and caption
  2. 2Parses caption for ingredient patterns and instruction sections
  3. 3Detects missing instructions, downloads video and extracts audio with ffmpeg
  4. 4Transcribes audio using local Whisper base model
  5. 5Merges caption ingredients with spoken instructions and infers any unstated measurements
OUTPUT

Formatted recipe with named sections for ingredients and steps, macros if present, and *(estimated)* markers on any inferred quantities

Requirements

Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.

yt-dlp — install via brew install yt-dlpffmpeg — install via brew install ffmpegopenai-whisper — install via pip3 install openai-whisper