loom-workflowAI-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
Install via ClawdBot CLI:
clawdbot install G9Pedro/loom-workflowTransforms Loom recordings into structured, automatable workflows.
# 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
Frames are captured when:
The analyzer produces:
workflow-analysis.json - Structured workflow definitionworkflow-summary.md - Human-readable summary*.lobster - Executable Lobster workflow fileThe analyzer flags:
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
Generated workflows use:
approve gates for destructive/external actionsllm-task for classification/decision stepsyt-dlp - Video downloadffmpeg - Frame extraction + scene detectionwhisper - Audio transcriptionWorks with any language - Whisper auto-detects and transcribes.
Analysis should be prompted in the video's language for best results.
Generated Mar 1, 2026
Analyze Loom recordings of software onboarding sessions to create structured, step-by-step workflow guides. This helps new users follow along without missing critical steps, reducing support tickets and improving user adoption rates.
Extract workflows from Loom videos of customer support interactions to identify common issues and automate repetitive tasks. This enables faster resolution times and frees up agents for complex cases.
Use Loom recordings of quality control inspections to break down inspection steps into automatable workflows. This ensures consistency across shifts and reduces human error in production lines.
Analyze screen recordings of financial audit processes to generate structured workflows that highlight decision points and required documentation. This aids in regulatory compliance and audit trail creation.
Transform Loom videos of medical procedures into detailed workflows to standardize practices across departments. This improves patient safety and training efficiency for new staff.
Offer the Loom Workflow Analyzer as a cloud-based SaaS tool with tiered subscriptions based on usage (e.g., videos analyzed per month). Target enterprises needing to document and automate internal processes, with add-ons for advanced analytics and integration support.
Provide consulting services to help businesses implement the analyzer for specific use cases, such as process optimization or compliance. This includes custom workflow design, training, and ongoing support, leveraging the tool as part of a broader service package.
Sell enterprise licenses for on-premise or private cloud deployment, integrating the analyzer with existing systems like CRM or ERP. This model targets large organizations with strict data privacy requirements, offering customization and dedicated support.
π¬ Integration Tip
Ensure yt-dlp and ffmpeg are properly installed and configured for video handling, and use a vision-capable LLM like Claude for the analysis step to extract detailed insights from frames.
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