google-flow

name	google-flow
description	Use when navigating and operating Google Flow (labs.google/fx/tools/flow) - an AI video generation tool. Helps with project management, scenebuilder interface, prompt entry, preset selection, model configuration, and video generation workflow.
domain	productivity
author	oyi77
license	Apache-2.0
subdomain	productivity
tags	["flow","google","productivity","time-management","tools","video","workflow"]
version	1.0.0

persona: name: "Domain Expert" title: "Master of Google Flow" expertise: ['Specialized Knowledge', 'Best Practices', 'Industry Standards'] philosophy: "Excellence through expertise." credentials: ['Industry leader', 'Practiced expert', 'Thought leader'] principles: ['Quality first', 'Continuous improvement', 'Evidence-based decisions', 'Customer focus']

Google Flow Skill

Overview

Google Flow is an AI video generation tool that creates videos from text prompts using Google's Veo 3.1 model. This skill provides detailed automation guidance for the Flow interface.

Access: https://labs.google/fx/tools/flow
Model: Veo 3.1 - Fast
Credit Cost: 20 credits per generation (with 1 output)

Anti-Rationalization Table

Rationalization	Reality
"I'll figure it out as I go"	A structured approach saves time and reduces errors. Follow the workflow in this skill rather than improvising.
"I already know this topic"	Familiarity breeds shortcuts. Use the checklist to verify you haven't missed critical steps.
"This doesn't apply to my situation"	The patterns here generalize across contexts. Adapt, don't skip — the underlying principles hold.
"One more tool will fix it"	Adding complexity rarely solves process gaps. Master the core workflow first.

When to Use

Trigger phrases:

• "google flow"

• "When generating AI videos from text prompts"

• "When automating Google Flow project management"

• "When configuring video generation settings"

• When generating AI videos from text prompts

• When automating Google Flow project management

• When configuring video generation settings

• When building video scenes programmatically

When NOT to Use

• When you need image generation (use content/gemini-image-generator)
• When you don't have Google Flow access
• When credits are low/empty

---

Complete Video Generation Workflow

1. Receive input and validate format
2. Route to appropriate handler based on input type
3. Execute core operation with monitoring
4. Transform output to expected format
5. Return results or trigger follow-up actions

Step 1: Navigate to Google Flow

URL: https://labs.google/fx/tools/flow

Expected State: Flow home page with existing projects or "New project" button

Step 2: Create New Project

Method 1: Click Button

// Find and click "New project" button
const buttons = Array.from(document.querySelectorAll('button'));
const newProjectButton = buttons.find(b => b.innerText.includes('New project'));
if (newProjectButton) {
  newProjectButton.click();
}

Method 2: Direct Navigation

URL: https://labs.google/fx/tools/flow/project/new

Result: Redirects to Scenebuilder view with default project name (e.g., "Feb 16 - 23:39")

Step 3: Rename Project (Optional but Recommended)

Click Edit Project Button:

// Click the pencil (edit) icon next to project name
const editButton = document.querySelector('button[aria-label="Edit project"]') || 
                   Array.from(document.querySelectorAll('button')).find(b => b.innerText.includes('edit'));
if (editButton) {
  editButton.click();
}

Type New Name:

// Type project name (input field appears after clicking edit)
// Example: "Ocean Waves Video"

Save Project Name:

• Click checkmark icon to save
• Or press Enter to confirm

Step 4: Configure Settings (Optimize Credits)

Open Settings Dialog:

// Click Settings (tune) icon
const tuneButton = Array.from(document.querySelectorAll('i, span, button'))
  .find(el => el.innerText === 'tune');
if (tuneButton) {
  tuneButton.click();
}

Settings Panel Options:

• Aspect Ratio: Portrait (9:16), Landscape (16:9), Square (1:1)
• Outputs per prompt: 1, 2, 3, or 4 videos
  • Default: 2 outputs = 40 credits
  • Recommended: 1 output = 20 credits (saves 50% credits)
• Model: Veo 3.1 - Fast (default)

Change Outputs to 1 (Credit Saving):

// Find and click the "1" option for outputs
// This reduces cost from 40 to 20 credits per generation

Close Settings:

• Click outside the dialog
• Or press Escape key

Step 5: Enter Video Prompt

Click Prompt Textarea:

// Focus the main prompt input
const promptTextarea = document.getElementById('PINHOLE_TEXT_AREA_ELEMENT_ID');
if (promptTextarea) {
  promptTextarea.focus();
  promptTextarea.click();
}

Alternative Selector:

// Find by placeholder text
const textarea = document.querySelector('textarea[placeholder*="Generate a video"]');

Type Your Prompt:

// Example prompt
const prompt = "A peaceful ocean wave rolling onto a sandy beach at golden hour";
promptTextarea.value = prompt;

// Or use browser_press_key to type naturally

Prompt Writing Tips:

• Be specific about subjects, actions, environments
• Include camera movements: "slow pan", "tracking shot", "aerial view"
• Describe lighting and mood: "golden hour", "dramatic lighting", "soft shadows"
• Mention style: "cinematic", "documentary", "animated", "photorealistic"
• Specify duration hints: "slow motion", "time-lapse"

Example Prompts:

"A serene mountain landscape at sunset with clouds moving slowly across the sky"
"A close-up of a coffee cup with steam rising, cinematic lighting"
"An aerial view of a winding river through a forest, slow pan"
"A time-lapse of a flower blooming, macro photography style"

Step 6: Generate Video

Click Create Button:

// Find and click the Create button (arrow_forward icon)
const createButton = Array.from(document.querySelectorAll('button'))
  .find(b => b.innerText.includes('Create') || b.querySelector('i')?.innerText === 'arrow_forward');
if (createButton) {
  createButton.click();
}

Alternative Method:

// Direct selector for Create button
const createBtn = document.querySelector('button:has(i:contains("arrow_forward"))');

Expected Behavior:

1. Button becomes disabled
2. Progress indicator appears
3. Percentage counter shows progress: "1%... 23%... 62%... 100%"
4. Generation typically takes 60-90 seconds

Step 7: Monitor Generation Progress

Progress Indicators:

• Percentage counter in UI
• Progress bar animation
• Notification area updates

Wait for Completion:

// Wait for generation to complete (60-90 seconds typical)
// Progress will show: 1% → 100%

Check for Notifications:

• Credit usage notification appears
• Example: "30 credits left" (if started with 50)

Step 8: View Generated Video

Video Appears in Asset Panel:

• Right side panel shows generated video(s)
• Thumbnail preview available
• Click to play full video

Video Actions:

• Preview: Click thumbnail to play
• Download: Click download icon
• Favorite: Click star icon
• Delete: Click trash icon

---

Key Element Selectors

This section covers key element selectors for the google-flow skill. Key operations include input validation, core processing, and output verification. Refer to the skill overview for detailed usage instructions.

Critical Elements

Element	Selector	Alternative
Prompt Textarea	#PINHOLE_TEXT_AREA_ELEMENT_ID	textarea[placeholder*="Generate a video"]
Create Button	button:has(i:contains("arrow_forward"))	Button with text "Create"
Settings Button	button:has(i:contains("tune"))	Button with "Settings" text
New Project Button	Button with text "New project"	-
Edit Project Button	button[aria-label="Edit project"]	Button with edit icon

JavaScript Helper Functions

// Click element by text content
function clickByText(text) {
  const buttons = Array.from(document.querySelectorAll('button'));
  const button = buttons.find(b => b.innerText.includes(text));
  if (button) button.click();
  return button;
}

// Click element by icon name
function clickByIcon(iconName) {
  const elements = Array.from(document.querySelectorAll('i, span, button'));
  const element = elements.find(el => el.innerText === iconName);
  if (element) element.click();
  return element;
}

// Type in prompt textarea
function enterPrompt(promptText) {
  const textarea = document.getElementById('PINHOLE_TEXT_AREA_ELEMENT_ID');
  if (textarea) {
    textarea.focus();
    textarea.value = promptText;
     ;
  }
   ;
}


  () {
  
  (promptText);
  
  
    ( (r, ));
  
  
  ();
  
   ;
}

---

Credit Management

This section covers credit management for the google-flow skill. Key operations include input validation, core processing, and output verification. Refer to the skill overview for detailed usage instructions.

Credit Costs (as of Feb 2026)

Configuration	Credits per Generation
1 output, Portrait 9:16	20 credits
2 outputs, Portrait 9:16	40 credits
3 outputs, Portrait 9:16	60 credits
4 outputs, Portrait 9:16	80 credits

Recommendation: Use 1 output for testing and iteration to save credits.

Check Credit Balance

View in Settings:

• Open Settings (tune icon)
• Credit cost shown at bottom
• Example: "20 credits" per generation

After Generation:

• Notification shows remaining credits
• Example: "30 credits left"

Credit Optimization Tips

1. Start with 1 output: Test prompts with single output first
2. Iterate prompts: Refine prompt before generating multiple outputs
3. Use presets: Leverage style presets for consistency
4. Delete failed attempts: Clean up to avoid confusion

---

Advanced Features

• Core operation execution with comprehensive error handling
• Input validation and output quality assurance
• Integration with existing workflows and toolchains
• Detailed logging for debugging and audit trails

Using Style Presets

Access Presets:

// Click Expand button (pen_spark icon)
clickByIcon('pen_spark');

Available Presets:

• Cinematic Preset: Film-like quality with depth of field
• Film Noir Preset: Black and white, high contrast
• Action Figure Preset: Toy-like aesthetic
• Create New Expander: Custom style preset

Apply Preset:

1. Click "Expand" button
2. Select preset from list
3. Preset applies to current and future prompts

Aspect Ratio Selection

Available Ratios:

• Portrait (9:16): Vertical video, ideal for mobile/social
• Landscape (16:9): Horizontal video, standard widescreen
• Square (1:1): Equal dimensions, social media friendly

Change Aspect Ratio:

// Click aspect ratio icon in settings
// Icon shows current ratio: crop_9_16, crop_16_9, crop_square

Model Selection

Current Model: Veo 3.1 - Fast (default and only option)

Future Models: May include quality vs. speed tradeoffs

---

Downloading Videos for Local Use

This section covers downloading videos for local use for the google-flow skill. Key operations include input validation, core processing, and output verification. Refer to the skill overview for detailed usage instructions.

Overview

Download generated videos to use with other skills/agents (e.g., sending via Telegram, editing, uploading to social media).

Step 1: Locate Generated Video

In Asset Panel:

// Find video elements in the asset panel
const videos = document.querySelectorAll('video, [role="img"]');
// Videos appear after generation completes

Video Card Elements:

• Thumbnail preview
• Download button (download icon)
• Video metadata (duration, timestamp)

Step 2: Download Video via UI

Click Download Button:

// Find and click download button for specific video
const downloadButtons = Array.from(document.querySelectorAll('button'))
  .filter(b => {
    const icon = b.querySelector('i');
    return icon && (icon.innerText === 'download' || icon.innerText === 'file_download');
  });

// Click the first download button
if (downloadButtons[0]) {
  downloadButtons[0].click();
}

Expected Behavior:

• Browser download dialog appears
• Video downloads to default Downloads folder
• Filename format: flow-video-{timestamp}.mp4

Step 3: Download Video Programmatically

Extract Video URL:

// Get video source URL from video element
async function getVideoUrl() {
  const videoElement = document.querySelector('video');
  if (videoElement) {
    return videoElement.src || videoElement.querySelector('source')?.src;
  }
  return null;
}

Download with Custom Filename:

// Download video with specific filename
async function downloadVideo(filename = 'google-flow-video.mp4') {
  const videoUrl = await getVideoUrl();
  if (!videoUrl) {
    return 'No video found';
  }
  
  // Fetch video blob
  const response = await fetch(videoUrl);
  const blob = await response.blob();
  
  // Create download link
  const url = URL.createObjectURL(blob);
  const a = document.createElement('a');
  a.href = url;
  a.download = filename;
  a.click();
  
  // Cleanup
  URL.revokeObjectURL(url);
  
  return `Downloaded: ${filename}`;
}

// Usage
await downloadVideo('ocean-waves-sunset.mp4');

Step 4: Save to Specific Directory

Using Browser Automation:

// Download and save to specific path
// Note: This requires browser automation with file system access
async function downloadToPath(videoUrl, savePath) {
  const response = await fetch(videoUrl);
  const arrayBuffer = await response.arrayBuffer();
  const buffer = Buffer.from(arrayBuffer);
  
  // Save using Node.js fs (in automation context)
  // fs.writeFileSync(savePath, buffer);
  
  return `Saved to: ${savePath}`;
}

Recommended Save Location:

/Users/paijo/Downloads/google-flow-videos/
  ├── ocean-waves-2026-02-16.mp4
  ├── mountain-sunset-2026-02-16.mp4
  └── coffee-steam-2026-02-16.mp4

Step 5: Integration with Other Skills

Example: Send via Telegram:

// Complete workflow: Generate → Download → Send
async function generateAndSendVideo(prompt, telegramChatId) {
  // 1. Generate video
  await generateVideo(prompt);
  
  // 2. Wait for completion (60-90s)
  await new Promise(r => setTimeout(r, 90000));
  
  // 3. Download video
  const videoPath = `/Users/paijo/Downloads/google-flow-videos/${Date.now()}.mp4`;
  await downloadToPath(await getVideoUrl(), videoPath);
  
  // 4. Use with telegram skill
  // await sendTelegramVideo(telegramChatId, videoPath);
  
  return videoPath;
}

Example: Batch Download Multiple Videos:

// Download all videos in current project
async function downloadAllVideos() {
  const videos = document.querySelectorAll('video');
  const downloads = [];
  
  for (let i = 0; i < videos.length; i++) {
    const videoUrl = videos[i].src;
    const filename = `flow-video-${i + 1}-${Date.now()}.mp4`;
    await downloadVideo(filename);
    downloads.push(filename);
    
    // Wait between downloads
    await new Promise(r => setTimeout(r, 1000));
  }
  
  return downloads;
}

---

Creating Longer Videos

This section covers creating longer videos for the google-flow skill. Key operations include input validation, core processing, and output verification. Refer to the skill overview for detailed usage instructions.

Overview

Google Flow generates short videos (~5-10 seconds). Create longer videos through:

1. Video Stitching - Combine multiple clips sequentially
2. Frame-to-Video - Extend duration using image sequences

Method 1: Video Stitching (Recommended)

Concept: Generate multiple related clips and stitch them together.

Step 1: Plan Video Sequence:

// Define scenes for a longer narrative
const scenes = [
  "Opening shot: Aerial view of a coastal highway at sunrise",
  "Medium shot: Red sports car driving along the coast",
  "Close-up: Car wheels on wet pavement",
  "Wide shot: Car approaching a cliff overlook",
  "Final shot: Car parked at overlook, ocean in background"
];

Step 2: Generate Each Clip:

// Generate all clips sequentially
async function generateVideoSequence(scenes) {
  const videoFiles = [];
  
  for (let i = 0; i < scenes.length; i++) {
    // Generate clip
    await generateVideo(scenes[i]);
    
    // Wait for completion
    await new Promise(r => setTimeout(r, 90000));
    
    // Download clip
    const filename = `scene-${i + 1}.mp4`;
    await downloadVideo(filename);
    videoFiles.push(filename);
    
    // Small delay before next generation
    await new Promise(r => setTimeout(r, 5000));
  }
  
  return videoFiles;
}

Step 3: Stitch Videos Using FFmpeg:

# Create file list
cat > filelist.txt << EOF
file 'scene-1.mp4'
file 'scene-2.mp4'
file 'scene-3.mp4'
file 'scene-4.mp4'
file 'scene-5.mp4'
EOF

# Concatenate videos
ffmpeg -f concat -safe 0 -i filelist.txt -c copy final-video.mp4

# Result: ~25-50 second video (5 clips × 5-10s each)

Step 4: Automated Stitching Function:

// Complete workflow: Generate sequence and stitch
async function createLongVideo(scenes, outputFilename) {
  // 1. Generate all clips
  const clips = await generateVideoSequence(scenes);
  
  // 2. Create ffmpeg command
  const fileList = clips.map(f => `file '${f}'`).join('\n');
  
  // 3. Execute stitching (requires shell access)
  // const command = `echo "${fileList}" > filelist.txt && ffmpeg -f concat -safe 0 -i filelist.txt -c copy ${outputFilename}`;
  // await executeShellCommand(command);
  
  return {
    clips: clips,
    output: outputFilename,
    totalClips: clips.length,
    estimatedDuration: `${clips.length * 7}s (approx)`
  };
}

// Usage
await createLongVideo(scenes, 'coastal-drive-full.mp4');

Method 2: Frame-to-Video Extension

Concept: Use Google Flow's image-to-video mode to extend existing clips.

Step 1: Extract Key Frames:

# Extract last frame from video
ffmpeg -sseof -1 -i scene-1.mp4 -update 1 -q:v 1 last-frame.jpg

# Extract first frame from video
ffmpeg -i scene-1.mp4 -vframes 1 first-frame.jpg

Step 2: Generate Extension Clips:

// Switch to Image-to-Video mode in Google Flow
async function generateFromFrame(frameImagePath, prompt) {
  // 1. Switch to "Images" tab
  const imagesTab = Array.from(document.querySelectorAll('button'))
    .find(b => b.innerText === 'Images');
  if (imagesTab) imagesTab.click();
  
  // 2. Upload frame image
  // (Upload functionality varies by UI)
  
  // 3. Enter continuation prompt
  await enterPrompt(prompt);
  
  // 4. Generate
  clickByText('Create');
}

// Usage
await generateFromFrame(
  'last-frame.jpg',
  'Continue the ocean wave motion, slow and peaceful'
);

Step 3: Stitch Original + Extension:

# Combine original clip with extension
ffmpeg -f concat -safe 0 -i <(echo "file 'original.mp4'"; echo "file 'extension.mp4'") -c copy extended.mp4

Method 3: Looping for Duration

Create Seamless Loops:

// Generate loop-friendly video
const loopPrompt = "Seamless loop: Ocean waves gently rolling, perfect loop, continuous motion";
await generateVideo(loopPrompt);

Repeat Video N Times:

# Loop video 5 times for longer duration
ffmpeg -stream_loop 4 -i ocean-loop.mp4 -c copy ocean-extended.mp4

# Result: 5× original duration

Video Stitching Best Practices

1. Maintain Consistency:

   • Use same aspect ratio for all clips
   • Keep similar lighting/color grading
   • Use same style preset

2. Smooth Transitions:

   • Plan scene flow logically
   • Use transition prompts: "fade to...", "cut to..."
   • Consider overlap frames

3. Credit Efficiency:

   • Generate all clips in one session
   • Use 1 output per scene
   • Total cost: 20 credits × number of scenes

4. Quality Control:

   • Review each clip before stitching
   • Re-generate poor quality clips
   • Test stitched video for continuity

Example: 60-Second Video Production

// Complete workflow for 1-minute video
async function create60SecondVideo(topic) {
  // 1. Define 8 scenes (8 × 7s ≈ 56s)
  const scenes = [
    `Opening: ${topic} establishing shot, cinematic`,
    `Scene 2: ${topic} detail shot, slow motion`,
    `Scene 3: ${topic} wide angle, dramatic lighting`,
    `Scene 4: ${topic} close-up, shallow depth of field`,
    `Scene 5: ${topic} medium shot, natural movement`,
    `Scene 6: ${topic} aerial view, sweeping motion`,
    `Scene 7: ${topic} artistic angle, golden hour`,
    `Closing: ${topic} final shot, fade to black`
  ];
  
  // 2. Generate all scenes
  console.log('Generating 8 scenes...');
  const clips = await generateVideoSequence(scenes);
  
  // 3. Stitch together
  console.log('Stitching clips...');
  await createLongVideo(clips, `${topic}-60s.mp4`);
  
  // 4. Return result
  return {
    topic: topic,
    scenes: 8,
    totalCredits: 160, // 8 × 20
    outputFile: ,
    : 
  };
}


 ();

---

Troubleshooting

Symptom	Cause	Fix
Operation times out	Network or service issue	Check connectivity and retry
Permission denied	Missing credentials	Verify API keys and access tokens
Invalid output	Input format mismatch	Validate input against expected schema

Common Issues

Issue: Create button is disabled

• Cause: Prompt textarea is empty
• Solution: Enter a text prompt first

Issue: "There doesn't seem to be a project here…"

• Cause: Project not saved
• Solution: Click "Edit project" → enter name → save

Issue: Settings dialog won't open

• Cause: Another dialog is already open
• Solution: Press Escape to close dialogs, then try again

Issue: Video generation stuck at low percentage

• Cause: Network issue or server load
• Solution: Wait 2-3 minutes, refresh page if needed

Issue: "Not enough credits"

• Cause: Credit balance too low
• Solution: Purchase more credits or reduce outputs per prompt

Issue: Video quality is poor

• Cause: Vague or unclear prompt
• Solution: Add more specific details about scene, lighting, camera movement

---

Complete Automation Example

# Basic usage
invoke <skill-name> with appropriate parameters

# Advanced usage with options
invoke <skill-name> --option value --verbose

Generate Video from Scratch

// Complete workflow: Create project and generate video
async function createVideoProject(projectName, videoPrompt) {
  // 1. Navigate to new project
  window.location.href = 'https://labs.google/fx/tools/flow/project/new';
  await new Promise(r => setTimeout(r, 3000)); // Wait for page load
  
  // 2. Rename project
  const editBtn = document.querySelector('button[aria-label="Edit project"]');
  if (editBtn) {
    editBtn.click();
    await new Promise(r => setTimeout(r, 500));
    // Type project name here
  }
  
  // 3. Configure settings (1 output to save credits)
  const tuneBtn = Array.from(document.querySelectorAll('i, span, button'))
    .find(el => el.innerText === 'tune');
  if (tuneBtn) {
    tuneBtn.click();
    await new ( (r, ));
    
    
  }
  
  
   textarea = .();
   (textarea) {
    textarea.();
    textarea. = videoPrompt;
  }
  
  
   createBtn = .(.())
    .( b..());
   (createBtn) {
    createBtn.();
  }
  
   ;
}


(
  ,
  
);

---

Best Practices

This section covers best practices for the google-flow skill. Key operations include input validation, core processing, and output verification. Refer to the skill overview for detailed usage instructions.

Prompt Engineering

1. Start specific: "A red sports car" → "A red Ferrari 458 driving on a coastal highway"
2. Add camera work: "slow pan left", "tracking shot", "aerial view"
3. Describe lighting: "golden hour", "soft morning light", "dramatic sunset"
4. Include motion: "waves crashing", "leaves falling", "clouds drifting"
5. Specify style: "cinematic", "documentary", "animated", "photorealistic"

Project Organization

1. Name projects clearly: "Client-Campaign-Date" format
2. One project per concept: Keep related videos together
3. Delete test projects: Clean up failed attempts
4. Use favorites: Star best outputs for easy access

Credit Efficiency

1. Test with 1 output: Iterate prompts before bulk generation
2. Refine prompts: Get it right before generating multiple versions
3. Use presets: Maintain consistency without re-prompting
4. Monitor balance: Check credits before large batches

---

URL Patterns

Action	URL
Home	https://labs.google/fx/tools/flow
New Project	https://labs.google/fx/tools/flow/project/new
Existing Project	https://labs.google/fx/tools/flow/project/{uuid}
Help/Support	https://support.google.com/googleone?p=g1_ai_credit_menu

---

Reference Screenshots

See assets/flow-screenshot-main.png for complete UI layout.
See assets/flow-screenshot-expanded.png for preset panel view.

---

Common Rationalizations

Rationalization	Reality
"I'll do this later"	Explain why this excuse is wrong for this skill
"This is simple, skip steps"	Even simple tasks benefit from process

Red Flags

• Automation creates duplicate entries across connected platforms
• Agent does not handle timezone differences correctly
• Watch for shortcuts and skipped steps

Verification

After completing this skill, confirm:

• No duplicate entries are created across connected platforms
• Timezone handling is correct for all scheduling operations
• All required outputs generated
• Success criteria met

Related Skills

• content/gemini-image-generator - For static image generation
• marketing/content-creator - For video content strategy
• productivity/google-canvas - For collaborative brainstorming
• Video Editing: Use FFmpeg for stitching downloaded clips
• Telegram Integration: Send generated videos via messaging apps
• Social Media: Upload to platforms using automation skills

---

Last Updated: 2026-02-16
Tested: ✅ Video generation successful (20 credits, 60s generation time)
Model: Veo 3.1 - Fast

Process

1. Analyze the task requirements
2. Apply domain expertise
3. Verify output quality