How do I install the Loom Workflow skill?

Run npx skillmds@latest add dvcrn/loom-workflow in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Loom Workflow safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Loom Workflow?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Loom Workflow free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Loom Workflow?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Loom Workflow by dvcrn — Agent Skill

Name: Loom Workflow
Rating: 4.2 (5 reviews)
Author: dvcrn

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

dvcrn Updated Sep 8, 2026 32 repo stars

File contents

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

Download - Fetches Loom video via yt-dlp
Smart Extract - Captures frames at scene changes + transcript timing
Transcribe - Whisper transcription with word-level timestamps
Analyze - Multimodal AI analysis (requires vision model)
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.

---name: loom-workflowdescription: 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 AnalyzerTransforms Loom recordings into structured, automatable workflows.## Quick Start```bash# 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```## Pipeline1. **Download** - Fetches Loom video via yt-dlp2. **Smart Extract** - Captures frames at scene changes + transcript timing3. **Transcribe** - Whisper transcription with word-level timestamps4. **Analyze** - Multimodal AI analysis (requires vision model)5. **Generate** - Creates Lobster workflow with approval gates## Smart Frame ExtractionFrames 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 OutputThe analyzer produces:- `workflow-analysis.json` - Structured workflow definition- `workflow-summary.md` - Human-readable summary- `*.lobster` - Executable Lobster workflow file### Ambiguity DetectionThe analyzer flags:- Unclear mouse movements- Implicit knowledge ("the usual process")- Decision points ("depending on...")- Missing credentials/context- Tool dependencies## Vision Analysis StepAfter extraction, use the generated prompt with a vision model:```bash# 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:```bash{baseDir}/scripts/loom-workflow generate ./output/workflow-analysis.json```## Lobster IntegrationGenerated 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 SupportWorks with any language - Whisper auto-detects and transcribes.Analysis should be prompted in the video's language for best results.

Frequently asked questions