AGENT SKILLBY EACHLABS

UGC video generation

AT A GLANCE

UGC video generation is an agent skill for content. Generate authentic user-generated content (UGC) style videos using the each::sense API. It is published by eachlabs in the eachlabs/skills GitHub repository (18 stars), which does not specify a license. To add it, run npx skills add eachlabs/skills --skill "UGC Video Generation"

FIG. 01 · CONTENT

SOURCE REPOSITORY: eachlabs/skills (opens GitHub in a new tab)
REPO STARS: SOURCE REPOSITORY
LICENSE: Not specifiedCHECK THE REPO
CATEGORIES: Content
SKILL.MD SIZE: 26 KB867 LINES

§03

QUICK ANSWER

WHAT IT IS01: Generate authentic user-generated content (UGC) style videos using the each::sense API. It stands out by giving content production a defined shape, so the agent asks for better context and returns a more usable result.
INPUTS02: Context for content production: your goals, audience, constraints, and any source material the skill asks for.
OUTPUT03: A ready-to-use result for content production: the analysis, copy, or recommendations the agent produces.

§04

INSTALL

One command adds this skill from its source repository.

$ npx skills add eachlabs/skills --skill "UGC Video Generation"

READ THE SKILL.MD BELOW BEFORE YOU RUN IT. SKILLS INSTRUCT YOUR AGENT.

§05

SKILL.MD

The full file, as published in the source repository. Copy it, download it or open it on GitHub.

Download SKILL.md Open on GitHub View raw markdown

ON THIS PAGE · 16

UGC Video Generation#

Generate authentic user-generated content (UGC) style videos using the each::sense API. Create testimonials, unboxing videos, product reviews, tutorials, and selfie-style content that feels natural and relatable.

Overview#

UGC videos are characterized by their authentic, casual feel - as if recorded by a real person on their phone. This skill enables you to generate:

Testimonial Videos: Talking head style content with genuine-feeling endorsements
Unboxing Videos: First impressions and product reveals
Product Reviews: Honest-feeling assessments and demonstrations
Before/After Content: Transformation reveals and comparisons
Tutorial Videos: How-to and instructional content
Day-in-Life: Lifestyle content featuring products naturally
Get Ready With Me (GRWM): Personal routine content
Reaction Videos: Authentic responses and first impressions

Quick Start#

bash · 10 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a UGC testimonial video of a woman in her 30s talking about how this skincare product changed her skin. Casual iPhone footage look, natural lighting, filmed in her bathroom. She should be excited but genuine."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

UGC Video Formats#

Format	Description	Best For
Testimonial	Talking head, direct to camera	Product endorsements, service reviews
Unboxing	First-time product reveal	E-commerce, subscription boxes, tech
Tutorial	Step-by-step demonstration	Beauty, DIY, software, cooking
Review	In-depth product assessment	Electronics, apps, services
Before/After	Transformation reveal	Fitness, beauty, home improvement
Day-in-Life	Lifestyle integration	Wellness, productivity, fashion
GRWM	Personal routine showcase	Beauty, fashion, lifestyle
Reaction	First impression response	Entertainment, products, reveals

Use Case Examples#

1. Testimonial Video (Talking Head)#

Generate a genuine-feeling customer testimonial.

bash · 10 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a UGC testimonial video. A young professional man in his late 20s sits on his couch, talking directly to camera. He shares how the meal prep service saved him hours every week. iPhone selfie camera angle, living room setting with natural window light. Casual clothes, authentic delivery - not scripted feeling. He should occasionally look away thinking, then back at camera. 15-20 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

2. Product Unboxing#

Create an authentic unboxing experience video.

bash · 10 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Generate an unboxing video UGC style. A college-age woman opens a subscription beauty box on her bed. POV angle showing her hands and reactions. She pulls items out one by one, showing genuine excitement and surprise. Natural bedroom lighting, casual setting with some clutter visible. She comments on each product as she discovers it. iPhone footage aesthetic, 20-25 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

3. Before/After Transformation#

Show a transformation with authentic reveal moment.

bash · 10 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a before/after UGC video for a fitness app. Split format or transition style. Person films themselves in mirror - first clip shows them at the start of their journey (tired, unsure), then cut/transition to 3 months later (confident, energetic, visible progress). Bathroom or bedroom mirror, natural phone recording style. Include authentic facial expressions - nervous in before, proud in after. 15 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

4. Tutorial/How-To#

Generate step-by-step instructional content.

bash · 10 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a UGC tutorial video showing how to use a face serum. POV hands-on demonstration. Woman applies product step by step - cleanser first, then serum application technique, gentle patting motions. Bathroom counter setup, ring light visible in reflection for authenticity. She explains each step casually like talking to a friend. Some minor mistakes are okay - keeps it real. 25-30 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

5. Review Style#

Create an honest-feeling product review.

bash · 10 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Generate a UGC product review video. Man in his 40s reviews wireless earbuds from his home office. He shows the product, tests features, shares honest pros and cons. Webcam quality footage, casual home office background with some personalization visible. He demonstrates the fit, tests the sound, mentions battery life from his experience. Conversational tone, not overly polished. 30 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

6. Day in the Life#

Show natural product integration into daily routine.

bash · 10 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a day-in-the-life UGC video featuring a productivity app. Quick montage style - morning routine checking the app with coffee, using it during commute, referencing it during work, end of day review. Young professional woman, various locations throughout her day. iPhone footage, some clips handheld, some propped up. Natural lighting varies by scene. Lifestyle content feel, 20-25 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

7. Get Ready With Me (GRWM)#

Generate personal routine content.

bash · 10 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a GRWM (Get Ready With Me) UGC video. Woman does her morning skincare and makeup routine while casually chatting to camera. Bathroom vanity setup, phone propped against mirror. She applies each product naturally, mentioning what she uses and why. Soft morning light, slightly messy counter with various products. Relaxed, friendly vibe like catching up with a friend. 30-35 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

8. Reaction Video#

Capture authentic first impression responses.

bash · 10 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Generate a reaction video UGC style. Teen reacts to trying a new snack for the first time. Selfie angle, bedroom background with posters visible. Initial skepticism, first bite, genuine surprise at the taste, enthusiastic recommendation. Raw, unfiltered reactions - could be positive or comically disgusted. Natural facial expressions, authentic Gen-Z energy. 15 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

9. Consistent Character with Image Reference#

Use image_urls to maintain consistent presenter across videos.

bash · 11 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a UGC testimonial video using the person in the reference image. They should be in their kitchen, talking about their experience with a cooking app. Natural morning light, casual pajamas, coffee in hand. Genuine enthusiasm about how the app helped them learn to cook. iPhone front camera angle, 20 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "image_urls": ["https://example.com/your-presenter-reference.jpg"],
    "mode": "max"
  }'

10. Product-Focused UGC with Visual Reference#

Include product images for consistent product appearance.

bash · 11 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create an unboxing and first impressions UGC video featuring this product. Young woman opens the package at her desk, examines the product from the reference image, tests it out, shares initial thoughts. Home office setting, afternoon light from window, laptop visible in background. Authentic excitement, genuine reactions. 25 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "image_urls": ["https://example.com/your-product-image.jpg"],
    "mode": "max"
  }'

Best Practices for Authentic UGC Feel#

Visual Authenticity#

Request "iPhone footage" or "phone camera quality" in prompts
Include natural lighting variations (window light, bathroom lighting)
Allow for slight camera shake or imperfect framing
Show real environments with some clutter or personalization

Performance Authenticity#

Ask for "genuine" or "authentic" reactions
Include natural pauses, thinking moments, looking away
Request conversational, not scripted-sounding delivery
Allow for minor imperfections - they add credibility

Setting Authenticity#

Use real-life locations: bedrooms, bathrooms, kitchens, offices
Include background elements that feel lived-in
Match lighting to location (ring light for beauty, natural for lifestyle)
Show products in natural use contexts

Prompt Tips#

For iPhone Footage Look#

Include phrases like:

"iPhone selfie camera angle"
"Front-facing camera perspective"
"Phone propped up on surface"
"Handheld phone footage"
"Vertical video format"

For Natural Lighting#

Specify:

"Natural window light"
"Morning bathroom lighting"
"Soft afternoon light"
"Ring light visible in background" (for beauty content)

For Casual Settings#

Describe:

"Bedroom with unmade bed visible"
"Bathroom counter with products scattered"
"Living room couch, relaxed setting"
"Kitchen counter, morning routine"

For Authentic Delivery#

Request:

"Conversational tone, like talking to a friend"
"Genuine reactions, not over-performed"
"Natural pauses and thinking moments"
"Casual speech with some filler words"

Mode Selection#

Mode	Best For	Quality
`max`	Final content, campaign assets	Highest quality, longer processing
`eco`	Drafts, testing concepts, iterations	Faster, lower cost

bash · 5 LINES

# High quality for final assets
"mode": "max"

# Quick draft for concept testing
"mode": "eco"

Multi-Turn Iteration with Session ID#

Use session_id to maintain context and create consistent content across a series.

Initial Video#

bash · 11 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a UGC testimonial. Young woman talks about discovering a new vitamin brand. Casual, in her kitchen, morning light. She explains why she decided to try it."}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "ugc-campaign-001",
    "mode": "max"
  }'

Follow-Up Video (Same Presenter)#

bash · 11 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a follow-up video with the same presenter. Now she has been using the vitamins for 2 weeks. Same kitchen setting but different outfit. She shares her experience so far - more energy, better sleep. Still casual and genuine."}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "ugc-campaign-001",
    "mode": "max"
  }'

Series Conclusion#

bash · 11 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Final video in the series with our presenter. One month update. She gives her honest final review, would she recommend it? Kitchen setting, but this time shes making her morning smoothie while talking. Natural integration of the product into her routine."}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "ugc-campaign-001",
    "mode": "max"
  }'

Error Handling#

Error	Cause	Solution
401 Unauthorized	Invalid or missing API key	Verify `EACHLABS_API_KEY` is set correctly
400 Bad Request	Malformed request body	Check JSON syntax and required parameters
413 Payload Too Large	Image files too large	Compress images or use smaller files
429 Rate Limited	Too many requests	Implement backoff, reduce request frequency
500 Server Error	Processing failure	Retry with exponential backoff

Retry Example#

bash · 22 LINES

# Simple retry with delay
for i in 1 2 3; do
  response=$(curl -s -w "%{http_code}" -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
    -H "Content-Type: application/json" \
    -H "X-API-Key: $EACHLABS_API_KEY" \
    -H "Accept: text/event-stream" \
    -d '{
      "messages": [{"role": "user", "content": "Create a quick UGC testimonial video, casual selfie style, 10 seconds."}],
      "model": "eachsense/beta",
    "stream": true,
      "mode": "eco"
    }')

  http_code="${response: -3}"
  if [ "$http_code" = "200" ]; then
    echo "Success"
    break
  fi

  echo "Attempt $i failed with code $http_code, retrying..."
  sleep $((i * 2))
done

Video Generation: General video creation capabilities
Image Generation: Create reference images for consistent characters
Voice Audio: Generate voiceovers for UGC content
Video Edit: Post-process and edit generated UGC videos

Supporting file: references/SSE-EVENTS.md#

SSE Event Reference#

Detailed documentation for all Server-Sent Events (SSE) returned by the each::sense /v1/chat/completions endpoint.

Event Format#

Events are wrapped in OpenAI chat.completion.chunk format with an eachlabs extension field:

TEXT

data: {"id":"chatcmpl-123","object":"chat.completion.chunk","choices":[{"delta":{"content":""}}],"eachlabs":{"type":"event_type",...}}\n\n

Stream ends with:

TEXT

data: [DONE]\n\n

Event Types (18 Total)#

thinking_delta#

AI reasoning streamed in real-time. Use this to show users what the AI is thinking.

json · 4 LINES

{
  "type": "thinking_delta",
  "content": "Let me find the best model for portrait generation..."
}

Field	Type	Description
`content`	string	Incremental thinking text

text_response#

Assistant message content (explanations, answers, plans).

json · 4 LINES

{
  "type": "text_response",
  "content": "I'll create a stunning portrait for you with cinematic lighting and a warm mood."
}

Field	Type	Description
`content`	string	Text response content

status#

Current operation being executed. Shows tool usage and parameters.

json · 6 LINES

{
  "type": "status",
  "message": "Searching for image generation models...",
  "tool_name": "search_models",
  "parameters": {"use_case": "text to image portrait"}
}

Field	Type	Description
`message`	string	Human-readable status message
`tool_name`	string	Internal tool being used
`parameters`	object	Tool parameters (optional)

tool_call#

Details of a tool being called. Useful for debugging and transparency.

json · 11 LINES

{
  "type": "tool_call",
  "name": "execute_model",
  "input": {
    "model_name": "flux-2-max",
    "inputs": {
      "prompt": "A beautiful woman portrait...",
      "aspect_ratio": "1:1"
    }
  }
}

Field	Type	Description
`name`	string	Tool name
`input`	object	Tool input parameters

message#

Informational message from the agent.

json · 4 LINES

{
  "type": "message",
  "content": "Your video is being processed. This typically takes 2-3 minutes."
}

Field	Type	Description
`content`	string	Message content

progress#

Progress update with percentage completion.

json · 5 LINES

{
  "type": "progress",
  "message": "Generating image...",
  "percent": 65
}

Field	Type	Description
`message`	string	Progress description
`percent`	number	Completion percentage

generation_response#

Generated media URL (image, video, audio). This is the primary output event.

json · 7 LINES

{
  "type": "generation_response",
  "url": "https://storage.eachlabs.ai/outputs/abc123.png",
  "generations": ["https://storage.eachlabs.ai/outputs/abc123.png"],
  "model": "flux-2-max",
  "execution_time_ms": 8500
}

Field	Type	Description
`url`	string	Primary output URL
`generations`	array	All generated URLs
`model`	string	Model used for generation
`execution_time_ms`	number	Processing time in milliseconds

clarification_needed#

AI needs more information to proceed. Present options to the user.

json · 12 LINES

{
  "type": "clarification_needed",
  "question": "What type of edit would you like to make to this image?",
  "options": [
    "Remove the background",
    "Apply a style transfer",
    "Upscale to higher resolution",
    "Add or modify elements"
  ],
  "context": "I can see you've uploaded an image, but I need to understand what changes you'd like.",
  "requires_response": true
}

Field	Type	Description
`question`	string	The question to ask the user
`options`	array	Suggested options (can be displayed as buttons)
`context`	string	Additional context about the clarification
`requires_response`	boolean	Whether a response is required to proceed

Handling: Display the question and options to the user. Send their response in a follow-up request with the same session_id.

web_search_query#

Web search being executed.

json · 5 LINES

{
  "type": "web_search_query",
  "query": "best AI video generation models 2024",
  "recency": "month"
}

Field	Type	Description
`query`	string	Search query
`recency`	string	Time filter (day, week, month, year)

web_search_citations#

Citations from web search results.

json · 6 LINES

{
  "type": "web_search_citations",
  "citations": [
    {"title": "AI Video Comparison", "url": "https://example.com/ai-video", "snippet": "..."}
  ]
}

Field	Type	Description
`citations`	array	Array of objects with `title`, `url`, `snippet`

workflow_created#

New workflow was created for complex multi-step generation.

json · 6 LINES

{
  "type": "workflow_created",
  "workflow_id": "wf_abc123",
  "version_id": "v1",
  "steps_count": 5
}

Field	Type	Description
`workflow_id`	string	Unique workflow identifier
`version_id`	string	Workflow version
`steps_count`	number	Number of steps in workflow

workflow_fetched#

Existing workflow was loaded (when workflow_id is provided in request).

json · 6 LINES

{
  "type": "workflow_fetched",
  "workflow_name": "Product Video Generator",
  "existing_steps": 3,
  "existing_definition": {}
}

Field	Type	Description
`workflow_name`	string	Name of the workflow
`existing_steps`	number	Number of existing steps
`existing_definition`	object	Current workflow definition

workflow_built#

Workflow definition was constructed.

json · 9 LINES

{
  "type": "workflow_built",
  "steps_count": 4,
  "definition": {
    "version": "v1",
    "input_schema": {},
    "steps": []
  }
}

Field	Type	Description
`steps_count`	number	Number of steps
`definition`	object	Full workflow definition

workflow_updated#

Workflow was pushed to the EachLabs API.

json · 7 LINES

{
  "type": "workflow_updated",
  "success": true,
  "workflow_id": "wf_abc123",
  "version_id": "v1",
  "definition": {}
}

Field	Type	Description
`success`	boolean	Whether update succeeded
`workflow_id`	string	Workflow identifier
`version_id`	string	Version identifier
`definition`	object	Updated definition

execution_started#

Workflow execution has begun.

json · 5 LINES

{
  "type": "execution_started",
  "execution_id": "exec_xyz789",
  "workflow_id": "wf_abc123"
}

Field	Type	Description
`execution_id`	string	Unique execution identifier
`workflow_id`	string	Workflow being executed

execution_progress#

Progress update during workflow execution.

json · 6 LINES

{
  "type": "execution_progress",
  "step_id": "step2",
  "completed_steps": 2,
  "total_steps": 5
}

Field	Type	Description
`step_id`	string	Current step identifier
`completed_steps`	number	Steps completed so far
`total_steps`	number	Total steps in workflow

execution_completed#

Workflow execution finished.

json · 11 LINES

{
  "type": "execution_completed",
  "execution_id": "exec_xyz789",
  "output": "https://storage.eachlabs.ai/outputs/final.mp4",
  "all_outputs": {
    "step1": "https://storage.eachlabs.ai/outputs/step1.png",
    "step2": "https://storage.eachlabs.ai/outputs/step2.png",
    "step3": "https://storage.eachlabs.ai/outputs/final.mp4"
  },
  "total_time_ms": 45000
}

Field	Type	Description
`execution_id`	string	Execution identifier
`output`	string	Final output URL
`all_outputs`	object	All step outputs keyed by step_id
`total_time_ms`	number	Total execution time in milliseconds

complete#

Final event with summary. Always sent when stream completes.

json · 7 LINES

{
  "type": "complete",
  "task_id": "chat_1708345678901",
  "status": "ok",
  "generations": ["https://storage.eachlabs.ai/outputs/abc123.png"],
  "model": "flux-2-max"
}

Field	Type	Description
`task_id`	string	Unique task identifier
`status`	string	Final status (ok, error, clarification_needed)
`generations`	array	All generated output URLs
`model`	string	Primary model used

Status values:

ok - Completed successfully
clarification_needed - Waiting for user clarification
error - An error occurred

error#

An error occurred during processing.

json · 6 LINES

{
  "type": "error",
  "message": "Failed to generate image: Invalid aspect ratio",
  "error_code": "INVALID_INPUT",
  "details": {}
}

Field	Type	Description
`message`	string	Error message
`error_code`	string	Error code identifier
`details`	object	Additional error details

Event Flow Examples#

Simple Image Generation#

TEXT · 7 LINES

thinking_delta → "I'll create a beautiful portrait..."
status → "Searching for models..."
status → "Getting model details..."
text_response → "Here's your generated image..."
generation_response → {url: "https://...", model: "flux-2-max", execution_time_ms: 8500}
complete → {status: "ok", generations: [...]}
[DONE]

Clarification Flow#

TEXT · 4 LINES

thinking_delta → "I see an image, but need to know what edit..."
clarification_needed → {question: "What edit?", options: [...]}
complete → {status: "clarification_needed"}
[DONE]

Workflow Execution#

TEXT · 11 LINES

thinking_delta → "Creating a multi-step workflow..."
status → "Searching for models..."
workflow_created → {workflow_id: "wf_123", steps_count: 5}
execution_started → {execution_id: "exec_456"}
execution_progress → {completed_steps: 1, total_steps: 5}
execution_progress → {completed_steps: 2, total_steps: 5}
execution_progress → {completed_steps: 3, total_steps: 5}
execution_progress → {completed_steps: 4, total_steps: 5}
execution_completed → {output: "https://...", all_outputs: {...}, total_time_ms: 45000}
complete → {status: "ok"}
[DONE]

Web Search#

TEXT · 7 LINES

thinking_delta → "Let me search for current information..."
web_search_query → {query: "best AI models 2024"}
status → "Searching the web..."
web_search_citations → {citations: [{title, url, snippet}, ...]}
text_response → "Based on current information..."
complete → {status: "ok"}
[DONE]

SHOWING THE FIRST PART OF 26 KB · THE FULL TEXT IS ON THIS PAGE

§06

FAQ

07 QUESTIONS

01What is the UGC video generation agent skill?

Generate authentic user-generated content (UGC) style videos using the each::sense API. It is listed under content in the 100xLab agent skills directory.

02How do I install UGC video generation in Cursor, Claude Code, or Codex?

Run npx skills add eachlabs/skills --skill "UGC Video Generation" in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only UGC video generation, not every skill in the repository.

03What does the UGC video generation SKILL.md cover?

The SKILL.md includes sections on Overview, Quick Start, UGC Video Formats, Use Case Examples, Testimonial Video (Talking Head) and Product Unboxing. Read the full text on this page or in plain markdown at /resources/agent-skills/eachlabs-skills--ugc-video-generation--1e19pgd/raw.

04Which agents can use UGC video generation?

UGC video generation installs with the cross-agent skills installer (npx skills add), which sets it up for agents such as Claude Code, Cursor and Codex. Each agent loads the SKILL.md when you ask for the skill by name.

05What license is UGC video generation under?

No license was detected on the eachlabs/skills repository, so the license is not specified. Check with eachlabs before you redistribute or build on the skill.

06Is UGC video generation free to use?

Reading and installing UGC video generation costs nothing, because it is published in a public GitHub repository. The repository specifies no license, so ask eachlabs before you reuse or redistribute it.

07Where is the source of UGC video generation?

UGC video generation comes from https://github.com/eachlabs/skills, which has 18 GitHub stars. The SKILL.md is at https://github.com/eachlabs/skills/blob/HEAD/skills/ugc-video-generation/SKILL.md. The author is eachlabs.

Need an agent workflow built around your stack?

Tell us the workflow you want automated. We reply within 4 working hours (IST).

BOOK A CALL

§09

ATTRIBUTION

UGC video generation was written by its original authors and is published in eachlabs/skills (opens GitHub in a new tab) under no license stated in the repository. All rights stay with the original authors.

100xLab did not write, maintain or endorse this skill. This page lists it for discovery. Repo stars belong to the source repository, not to the skill. Review any skill before you install it.

AGENT SKILLBY EACHLABS

UGC video generation

AT A GLANCE

FIG. 01 · CONTENT

SOURCE REPOSITORY: eachlabs/skills (opens GitHub in a new tab)
REPO STARS: SOURCE REPOSITORY
LICENSE: Not specifiedCHECK THE REPO
CATEGORIES: Content
SKILL.MD SIZE: 26 KB867 LINES

§03

QUICK ANSWER

WHAT IT IS01: Generate authentic user-generated content (UGC) style videos using the each::sense API. It stands out by giving content production a defined shape, so the agent asks for better context and returns a more usable result.
INPUTS02: Context for content production: your goals, audience, constraints, and any source material the skill asks for.
OUTPUT03: A ready-to-use result for content production: the analysis, copy, or recommendations the agent produces.

§04

INSTALL

One command adds this skill from its source repository.

$ npx skills add eachlabs/skills --skill "UGC Video Generation"

READ THE SKILL.MD BELOW BEFORE YOU RUN IT. SKILLS INSTRUCT YOUR AGENT.

§05

SKILL.MD

The full file, as published in the source repository. Copy it, download it or open it on GitHub.

Download SKILL.md Open on GitHub View raw markdown

ON THIS PAGE · 16

UGC Video Generation#

Overview#

UGC videos are characterized by their authentic, casual feel - as if recorded by a real person on their phone. This skill enables you to generate:

Testimonial Videos: Talking head style content with genuine-feeling endorsements
Unboxing Videos: First impressions and product reveals
Product Reviews: Honest-feeling assessments and demonstrations
Before/After Content: Transformation reveals and comparisons
Tutorial Videos: How-to and instructional content
Day-in-Life: Lifestyle content featuring products naturally
Get Ready With Me (GRWM): Personal routine content
Reaction Videos: Authentic responses and first impressions

Quick Start#

bash · 10 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a UGC testimonial video of a woman in her 30s talking about how this skincare product changed her skin. Casual iPhone footage look, natural lighting, filmed in her bathroom. She should be excited but genuine."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

UGC Video Formats#

Format	Description	Best For
Testimonial	Talking head, direct to camera	Product endorsements, service reviews
Unboxing	First-time product reveal	E-commerce, subscription boxes, tech
Tutorial	Step-by-step demonstration	Beauty, DIY, software, cooking
Review	In-depth product assessment	Electronics, apps, services
Before/After	Transformation reveal	Fitness, beauty, home improvement
Day-in-Life	Lifestyle integration	Wellness, productivity, fashion
GRWM	Personal routine showcase	Beauty, fashion, lifestyle
Reaction	First impression response	Entertainment, products, reveals

Use Case Examples#

1. Testimonial Video (Talking Head)#

Generate a genuine-feeling customer testimonial.

bash · 10 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a UGC testimonial video. A young professional man in his late 20s sits on his couch, talking directly to camera. He shares how the meal prep service saved him hours every week. iPhone selfie camera angle, living room setting with natural window light. Casual clothes, authentic delivery - not scripted feeling. He should occasionally look away thinking, then back at camera. 15-20 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

2. Product Unboxing#

Create an authentic unboxing experience video.

bash · 10 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Generate an unboxing video UGC style. A college-age woman opens a subscription beauty box on her bed. POV angle showing her hands and reactions. She pulls items out one by one, showing genuine excitement and surprise. Natural bedroom lighting, casual setting with some clutter visible. She comments on each product as she discovers it. iPhone footage aesthetic, 20-25 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

3. Before/After Transformation#

Show a transformation with authentic reveal moment.

bash · 10 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a before/after UGC video for a fitness app. Split format or transition style. Person films themselves in mirror - first clip shows them at the start of their journey (tired, unsure), then cut/transition to 3 months later (confident, energetic, visible progress). Bathroom or bedroom mirror, natural phone recording style. Include authentic facial expressions - nervous in before, proud in after. 15 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

4. Tutorial/How-To#

Generate step-by-step instructional content.

bash · 10 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a UGC tutorial video showing how to use a face serum. POV hands-on demonstration. Woman applies product step by step - cleanser first, then serum application technique, gentle patting motions. Bathroom counter setup, ring light visible in reflection for authenticity. She explains each step casually like talking to a friend. Some minor mistakes are okay - keeps it real. 25-30 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

5. Review Style#

Create an honest-feeling product review.

bash · 10 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Generate a UGC product review video. Man in his 40s reviews wireless earbuds from his home office. He shows the product, tests features, shares honest pros and cons. Webcam quality footage, casual home office background with some personalization visible. He demonstrates the fit, tests the sound, mentions battery life from his experience. Conversational tone, not overly polished. 30 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

6. Day in the Life#

Show natural product integration into daily routine.

bash · 10 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a day-in-the-life UGC video featuring a productivity app. Quick montage style - morning routine checking the app with coffee, using it during commute, referencing it during work, end of day review. Young professional woman, various locations throughout her day. iPhone footage, some clips handheld, some propped up. Natural lighting varies by scene. Lifestyle content feel, 20-25 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

7. Get Ready With Me (GRWM)#

Generate personal routine content.

bash · 10 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a GRWM (Get Ready With Me) UGC video. Woman does her morning skincare and makeup routine while casually chatting to camera. Bathroom vanity setup, phone propped against mirror. She applies each product naturally, mentioning what she uses and why. Soft morning light, slightly messy counter with various products. Relaxed, friendly vibe like catching up with a friend. 30-35 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

8. Reaction Video#

Capture authentic first impression responses.

bash · 10 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Generate a reaction video UGC style. Teen reacts to trying a new snack for the first time. Selfie angle, bedroom background with posters visible. Initial skepticism, first bite, genuine surprise at the taste, enthusiastic recommendation. Raw, unfiltered reactions - could be positive or comically disgusted. Natural facial expressions, authentic Gen-Z energy. 15 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

9. Consistent Character with Image Reference#

Use image_urls to maintain consistent presenter across videos.

bash · 11 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a UGC testimonial video using the person in the reference image. They should be in their kitchen, talking about their experience with a cooking app. Natural morning light, casual pajamas, coffee in hand. Genuine enthusiasm about how the app helped them learn to cook. iPhone front camera angle, 20 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "image_urls": ["https://example.com/your-presenter-reference.jpg"],
    "mode": "max"
  }'

10. Product-Focused UGC with Visual Reference#

Include product images for consistent product appearance.

bash · 11 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create an unboxing and first impressions UGC video featuring this product. Young woman opens the package at her desk, examines the product from the reference image, tests it out, shares initial thoughts. Home office setting, afternoon light from window, laptop visible in background. Authentic excitement, genuine reactions. 25 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "image_urls": ["https://example.com/your-product-image.jpg"],
    "mode": "max"
  }'

Best Practices for Authentic UGC Feel#

Visual Authenticity#

Request "iPhone footage" or "phone camera quality" in prompts
Include natural lighting variations (window light, bathroom lighting)
Allow for slight camera shake or imperfect framing
Show real environments with some clutter or personalization

Performance Authenticity#

Ask for "genuine" or "authentic" reactions
Include natural pauses, thinking moments, looking away
Request conversational, not scripted-sounding delivery
Allow for minor imperfections - they add credibility

Setting Authenticity#

Use real-life locations: bedrooms, bathrooms, kitchens, offices
Include background elements that feel lived-in
Match lighting to location (ring light for beauty, natural for lifestyle)
Show products in natural use contexts

Prompt Tips#

For iPhone Footage Look#

Include phrases like:

"iPhone selfie camera angle"
"Front-facing camera perspective"
"Phone propped up on surface"
"Handheld phone footage"
"Vertical video format"

For Natural Lighting#

Specify:

"Natural window light"
"Morning bathroom lighting"
"Soft afternoon light"
"Ring light visible in background" (for beauty content)

For Casual Settings#

Describe:

"Bedroom with unmade bed visible"
"Bathroom counter with products scattered"
"Living room couch, relaxed setting"
"Kitchen counter, morning routine"

For Authentic Delivery#

Request:

"Conversational tone, like talking to a friend"
"Genuine reactions, not over-performed"
"Natural pauses and thinking moments"
"Casual speech with some filler words"

Mode Selection#

Mode	Best For	Quality
`max`	Final content, campaign assets	Highest quality, longer processing
`eco`	Drafts, testing concepts, iterations	Faster, lower cost

bash · 5 LINES

# High quality for final assets
"mode": "max"

# Quick draft for concept testing
"mode": "eco"

Multi-Turn Iteration with Session ID#

Use session_id to maintain context and create consistent content across a series.

Initial Video#

bash · 11 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a UGC testimonial. Young woman talks about discovering a new vitamin brand. Casual, in her kitchen, morning light. She explains why she decided to try it."}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "ugc-campaign-001",
    "mode": "max"
  }'

Follow-Up Video (Same Presenter)#

bash · 11 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a follow-up video with the same presenter. Now she has been using the vitamins for 2 weeks. Same kitchen setting but different outfit. She shares her experience so far - more energy, better sleep. Still casual and genuine."}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "ugc-campaign-001",
    "mode": "max"
  }'

Series Conclusion#

bash · 11 LINES

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Final video in the series with our presenter. One month update. She gives her honest final review, would she recommend it? Kitchen setting, but this time shes making her morning smoothie while talking. Natural integration of the product into her routine."}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "ugc-campaign-001",
    "mode": "max"
  }'

Error Handling#

Error	Cause	Solution
401 Unauthorized	Invalid or missing API key	Verify `EACHLABS_API_KEY` is set correctly
400 Bad Request	Malformed request body	Check JSON syntax and required parameters
413 Payload Too Large	Image files too large	Compress images or use smaller files
429 Rate Limited	Too many requests	Implement backoff, reduce request frequency
500 Server Error	Processing failure	Retry with exponential backoff

Retry Example#

bash · 22 LINES

# Simple retry with delay
for i in 1 2 3; do
  response=$(curl -s -w "%{http_code}" -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
    -H "Content-Type: application/json" \
    -H "X-API-Key: $EACHLABS_API_KEY" \
    -H "Accept: text/event-stream" \
    -d '{
      "messages": [{"role": "user", "content": "Create a quick UGC testimonial video, casual selfie style, 10 seconds."}],
      "model": "eachsense/beta",
    "stream": true,
      "mode": "eco"
    }')

  http_code="${response: -3}"
  if [ "$http_code" = "200" ]; then
    echo "Success"
    break
  fi

  echo "Attempt $i failed with code $http_code, retrying..."
  sleep $((i * 2))
done

Video Generation: General video creation capabilities
Image Generation: Create reference images for consistent characters
Voice Audio: Generate voiceovers for UGC content
Video Edit: Post-process and edit generated UGC videos

Supporting file: references/SSE-EVENTS.md#

SSE Event Reference#

Detailed documentation for all Server-Sent Events (SSE) returned by the each::sense /v1/chat/completions endpoint.

Event Format#

Events are wrapped in OpenAI chat.completion.chunk format with an eachlabs extension field:

TEXT

data: {"id":"chatcmpl-123","object":"chat.completion.chunk","choices":[{"delta":{"content":""}}],"eachlabs":{"type":"event_type",...}}\n\n

Stream ends with:

TEXT

data: [DONE]\n\n

Event Types (18 Total)#

thinking_delta#

AI reasoning streamed in real-time. Use this to show users what the AI is thinking.

json · 4 LINES

{
  "type": "thinking_delta",
  "content": "Let me find the best model for portrait generation..."
}

Field	Type	Description
`content`	string	Incremental thinking text

text_response#

Assistant message content (explanations, answers, plans).

json · 4 LINES

{
  "type": "text_response",
  "content": "I'll create a stunning portrait for you with cinematic lighting and a warm mood."
}

Field	Type	Description
`content`	string	Text response content

status#

Current operation being executed. Shows tool usage and parameters.

json · 6 LINES

{
  "type": "status",
  "message": "Searching for image generation models...",
  "tool_name": "search_models",
  "parameters": {"use_case": "text to image portrait"}
}

Field	Type	Description
`message`	string	Human-readable status message
`tool_name`	string	Internal tool being used
`parameters`	object	Tool parameters (optional)

tool_call#

Details of a tool being called. Useful for debugging and transparency.

json · 11 LINES

{
  "type": "tool_call",
  "name": "execute_model",
  "input": {
    "model_name": "flux-2-max",
    "inputs": {
      "prompt": "A beautiful woman portrait...",
      "aspect_ratio": "1:1"
    }
  }
}

Field	Type	Description
`name`	string	Tool name
`input`	object	Tool input parameters

message#

Informational message from the agent.

json · 4 LINES

{
  "type": "message",
  "content": "Your video is being processed. This typically takes 2-3 minutes."
}

Field	Type	Description
`content`	string	Message content

progress#

Progress update with percentage completion.

json · 5 LINES

{
  "type": "progress",
  "message": "Generating image...",
  "percent": 65
}

Field	Type	Description
`message`	string	Progress description
`percent`	number	Completion percentage

generation_response#

Generated media URL (image, video, audio). This is the primary output event.

json · 7 LINES

{
  "type": "generation_response",
  "url": "https://storage.eachlabs.ai/outputs/abc123.png",
  "generations": ["https://storage.eachlabs.ai/outputs/abc123.png"],
  "model": "flux-2-max",
  "execution_time_ms": 8500
}

Field	Type	Description
`url`	string	Primary output URL
`generations`	array	All generated URLs
`model`	string	Model used for generation
`execution_time_ms`	number	Processing time in milliseconds

clarification_needed#

AI needs more information to proceed. Present options to the user.

json · 12 LINES

{
  "type": "clarification_needed",
  "question": "What type of edit would you like to make to this image?",
  "options": [
    "Remove the background",
    "Apply a style transfer",
    "Upscale to higher resolution",
    "Add or modify elements"
  ],
  "context": "I can see you've uploaded an image, but I need to understand what changes you'd like.",
  "requires_response": true
}

Field	Type	Description
`question`	string	The question to ask the user
`options`	array	Suggested options (can be displayed as buttons)
`context`	string	Additional context about the clarification
`requires_response`	boolean	Whether a response is required to proceed

Handling: Display the question and options to the user. Send their response in a follow-up request with the same session_id.

web_search_query#

Web search being executed.

json · 5 LINES

{
  "type": "web_search_query",
  "query": "best AI video generation models 2024",
  "recency": "month"
}

Field	Type	Description
`query`	string	Search query
`recency`	string	Time filter (day, week, month, year)

web_search_citations#

Citations from web search results.

json · 6 LINES

{
  "type": "web_search_citations",
  "citations": [
    {"title": "AI Video Comparison", "url": "https://example.com/ai-video", "snippet": "..."}
  ]
}

Field	Type	Description
`citations`	array	Array of objects with `title`, `url`, `snippet`

workflow_created#

New workflow was created for complex multi-step generation.

json · 6 LINES

{
  "type": "workflow_created",
  "workflow_id": "wf_abc123",
  "version_id": "v1",
  "steps_count": 5
}

Field	Type	Description
`workflow_id`	string	Unique workflow identifier
`version_id`	string	Workflow version
`steps_count`	number	Number of steps in workflow

workflow_fetched#

Existing workflow was loaded (when workflow_id is provided in request).

json · 6 LINES

{
  "type": "workflow_fetched",
  "workflow_name": "Product Video Generator",
  "existing_steps": 3,
  "existing_definition": {}
}

Field	Type	Description
`workflow_name`	string	Name of the workflow
`existing_steps`	number	Number of existing steps
`existing_definition`	object	Current workflow definition

workflow_built#

Workflow definition was constructed.

json · 9 LINES

{
  "type": "workflow_built",
  "steps_count": 4,
  "definition": {
    "version": "v1",
    "input_schema": {},
    "steps": []
  }
}

Field	Type	Description
`steps_count`	number	Number of steps
`definition`	object	Full workflow definition

workflow_updated#

Workflow was pushed to the EachLabs API.

json · 7 LINES

{
  "type": "workflow_updated",
  "success": true,
  "workflow_id": "wf_abc123",
  "version_id": "v1",
  "definition": {}
}

Field	Type	Description
`success`	boolean	Whether update succeeded
`workflow_id`	string	Workflow identifier
`version_id`	string	Version identifier
`definition`	object	Updated definition

execution_started#

Workflow execution has begun.

json · 5 LINES

{
  "type": "execution_started",
  "execution_id": "exec_xyz789",
  "workflow_id": "wf_abc123"
}

Field	Type	Description
`execution_id`	string	Unique execution identifier
`workflow_id`	string	Workflow being executed

execution_progress#

Progress update during workflow execution.

json · 6 LINES

{
  "type": "execution_progress",
  "step_id": "step2",
  "completed_steps": 2,
  "total_steps": 5
}

Field	Type	Description
`step_id`	string	Current step identifier
`completed_steps`	number	Steps completed so far
`total_steps`	number	Total steps in workflow

execution_completed#

Workflow execution finished.

json · 11 LINES

{
  "type": "execution_completed",
  "execution_id": "exec_xyz789",
  "output": "https://storage.eachlabs.ai/outputs/final.mp4",
  "all_outputs": {
    "step1": "https://storage.eachlabs.ai/outputs/step1.png",
    "step2": "https://storage.eachlabs.ai/outputs/step2.png",
    "step3": "https://storage.eachlabs.ai/outputs/final.mp4"
  },
  "total_time_ms": 45000
}

Field	Type	Description
`execution_id`	string	Execution identifier
`output`	string	Final output URL
`all_outputs`	object	All step outputs keyed by step_id
`total_time_ms`	number	Total execution time in milliseconds

complete#

Final event with summary. Always sent when stream completes.

json · 7 LINES

{
  "type": "complete",
  "task_id": "chat_1708345678901",
  "status": "ok",
  "generations": ["https://storage.eachlabs.ai/outputs/abc123.png"],
  "model": "flux-2-max"
}

Field	Type	Description
`task_id`	string	Unique task identifier
`status`	string	Final status (ok, error, clarification_needed)
`generations`	array	All generated output URLs
`model`	string	Primary model used

Status values:

ok - Completed successfully
clarification_needed - Waiting for user clarification
error - An error occurred

error#

An error occurred during processing.

json · 6 LINES

{
  "type": "error",
  "message": "Failed to generate image: Invalid aspect ratio",
  "error_code": "INVALID_INPUT",
  "details": {}
}

Field	Type	Description
`message`	string	Error message
`error_code`	string	Error code identifier
`details`	object	Additional error details

Event Flow Examples#

Simple Image Generation#

TEXT · 7 LINES

thinking_delta → "I'll create a beautiful portrait..."
status → "Searching for models..."
status → "Getting model details..."
text_response → "Here's your generated image..."
generation_response → {url: "https://...", model: "flux-2-max", execution_time_ms: 8500}
complete → {status: "ok", generations: [...]}
[DONE]

Clarification Flow#

TEXT · 4 LINES

thinking_delta → "I see an image, but need to know what edit..."
clarification_needed → {question: "What edit?", options: [...]}
complete → {status: "clarification_needed"}
[DONE]

Workflow Execution#

TEXT · 11 LINES

thinking_delta → "Creating a multi-step workflow..."
status → "Searching for models..."
workflow_created → {workflow_id: "wf_123", steps_count: 5}
execution_started → {execution_id: "exec_456"}
execution_progress → {completed_steps: 1, total_steps: 5}
execution_progress → {completed_steps: 2, total_steps: 5}
execution_progress → {completed_steps: 3, total_steps: 5}
execution_progress → {completed_steps: 4, total_steps: 5}
execution_completed → {output: "https://...", all_outputs: {...}, total_time_ms: 45000}
complete → {status: "ok"}
[DONE]

Web Search#

TEXT · 7 LINES

thinking_delta → "Let me search for current information..."
web_search_query → {query: "best AI models 2024"}
status → "Searching the web..."
web_search_citations → {citations: [{title, url, snippet}, ...]}
text_response → "Based on current information..."
complete → {status: "ok"}
[DONE]

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§06

FAQ

07 QUESTIONS

01What is the UGC video generation agent skill?

Generate authentic user-generated content (UGC) style videos using the each::sense API. It is listed under content in the 100xLab agent skills directory.

02How do I install UGC video generation in Cursor, Claude Code, or Codex?

03What does the UGC video generation SKILL.md cover?

04Which agents can use UGC video generation?

05What license is UGC video generation under?

No license was detected on the eachlabs/skills repository, so the license is not specified. Check with eachlabs before you redistribute or build on the skill.

06Is UGC video generation free to use?

07Where is the source of UGC video generation?

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§09

ATTRIBUTION

100xLab did not write, maintain or endorse this skill. This page lists it for discovery. Repo stars belong to the source repository, not to the skill. Review any skill before you install it.

UGC video generation

QUICK ANSWER

INSTALL

SKILL.MD

UGC Video Generation#

Overview#

Quick Start#

UGC Video Formats#

Use Case Examples#

1. Testimonial Video (Talking Head)#

2. Product Unboxing#

3. Before/After Transformation#

4. Tutorial/How-To#

5. Review Style#

6. Day in the Life#

7. Get Ready With Me (GRWM)#

8. Reaction Video#

9. Consistent Character with Image Reference#

10. Product-Focused UGC with Visual Reference#

Best Practices for Authentic UGC Feel#

Visual Authenticity#

Performance Authenticity#

Setting Authenticity#

Prompt Tips#

For iPhone Footage Look#

For Natural Lighting#

For Casual Settings#

For Authentic Delivery#

Mode Selection#

Multi-Turn Iteration with Session ID#

Initial Video#

Follow-Up Video (Same Presenter)#

Series Conclusion#

Error Handling#

Retry Example#

Related Skills#

Supporting file: references/SSE-EVENTS.md#

SSE Event Reference#

Event Format#

Event Types (18 Total)#

thinking_delta#

text_response#

status#

tool_call#

message#

progress#

generation_response#

clarification_needed#

web_search_query#

web_search_citations#

workflow_created#

workflow_fetched#

workflow_built#

workflow_updated#

execution_started#

execution_progress#

execution_completed#

complete#

error#

Event Flow Examples#

Simple Image Generation#

Clarification Flow#

Workflow Execution#

Web Search#

FAQ

RELATED SKILLS

More from eachlabs

More Content skills

Need an agent workflow built around your stack?

ATTRIBUTION

UGC video generation

QUICK ANSWER

INSTALL

SKILL.MD

UGC Video Generation#

Overview#

Quick Start#

UGC Video Formats#

Use Case Examples#

1. Testimonial Video (Talking Head)#