Loom Workflow

AI-native workflow analyzer for Loom recordings. Breaks down recorded business processes into structured, automatable workflows. Use when: - Analyzing Loom videos to understand workflows - Extracting steps, tools, and decision points from screen recordings - Generating Lobster workflow files from video walkthroughs - Identifying ambiguities and human intervention points in processes

Loom Workflow Analyzer

Transforms Loom recordings into structured, automatable workflows.

Quick Start

# Full pipeline - download, extract, transcribe, analyze
{baseDir}/scripts/loom-workflow analyze https://loom.com/share/abc123

# Individual steps
{baseDir}/scripts/loom-workflow download https://loom.com/share/abc123
{baseDir}/scripts/loom-workflow extract ./video.mp4
{baseDir}/scripts/loom-workflow generate ./analysis.json

Pipeline

1. Download - Fetches Loom video via yt-dlp
2. Smart Extract - Captures frames at scene changes + transcript timing
3. Transcribe - Whisper transcription with word-level timestamps
4. Analyze - Multimodal AI analysis (requires vision model)
5. Generate - Creates Lobster workflow with approval gates

Smart Frame Extraction

Frames are captured when:

• Scene changes - Significant visual change (ffmpeg scene detection)
• Speech starts - New narration segment begins
• Combined - Speech + visual change = high-value moment
• Gap fill - Max 10s without a frame

Analysis Output

The analyzer produces:

• workflow-analysis.json - Structured workflow definition
• workflow-summary.md - Human-readable summary
• *.lobster - Executable Lobster workflow file

Ambiguity Detection

The analyzer flags:

• Unclear mouse movements
• Implicit knowledge ("the usual process")
• Decision points ("depending on...")
• Missing credentials/context
• Tool dependencies

Vision Analysis Step

After extraction, use the generated prompt with a vision model:

# The prompt is at: output/workflow-analysis-prompt.md
# Attach frames from: output/frames/

# Example with Claude:
cat output/workflow-analysis-prompt.md | claude --images output/frames/*.jpg

Save the JSON response to workflow-analysis.json, then:

{baseDir}/scripts/loom-workflow generate ./output/workflow-analysis.json

Lobster Integration

Generated workflows use:

• approve gates for destructive/external actions
• llm-task for classification/decision steps
• Resume tokens for interrupted workflows
• JSON piping between steps

Requirements

• yt-dlp - Video download
• ffmpeg - Frame extraction + scene detection
• whisper - Audio transcription
• Vision-capable LLM for analysis step

Multilingual Support

Works with any language - Whisper auto-detects and transcribes. Analysis should be prompted in the video's language for best results.