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muapi-freeze-effect-video

Generate a cinematic "freeze effect" video where time stops mid-scene, the subject walks through the frozen world, then time resumes with a snap.

Install / Use

npx skills add SamurAIGPT/Generative-Media-Skills --skill freeze-effect-video

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

82/100

Supported Platforms

Universal

Our assessment of muapi-freeze-effect-video

muapi-freeze-effect-video scores 82/100 on our quality scale, 1715th of 3,168 Development & Engineering skills we index.

Its SKILL.md is 4.8 KB long, split into 7 sections and no code examples: a solid amount of guidance for an agent.

With 4,329 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
11/20
Description
15/15
Adoption
15/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 19 days ago, so muapi-freeze-effect-video is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

Review

Our scan of the whole file found 1 pattern worth reviewing before you install muapi-freeze-effect-video.

  • mediumSends the output of a local command to a remote serverline 99
    …CLI alias yet, fall back to the raw endpoint via `curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'con…

Automated pattern scan on 2026-09-28. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

muapi-freeze-effect-video compared with similar skills

All 4 of these similar skills score higher than muapi-freeze-effect-video; compare them before choosing.

SkillScoreStarsUpdatedFormat
muapi-freeze-effect-video (this skill)by SamurAIGPT824.3k19d agoSKILL.md
Agent-Reachby Panniantong10085.9k13d agoCLAUDE.md
headroomby headroomlabs-ai10074.0k1d agoCLAUDE.md
ai-job-searchby MadsLorentzen10044.3ktodayCLAUDE.md
claude-howtoby luongnv8910041.7k2d agoCLAUDE.md

Frequently asked questions

How do I install muapi-freeze-effect-video?
Run npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-freeze-effect-video. The install tabs above show the steps for each supported agent.
Which AI agents does muapi-freeze-effect-video work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is muapi-freeze-effect-video safe to use?
Our scan of the whole file found 1 pattern worth reviewing before you install muapi-freeze-effect-video. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is muapi-freeze-effect-video still maintained?
The repository was last updated 19 days ago, so muapi-freeze-effect-video is actively maintained.

slug: muapi-freeze-effect-video name: muapi-freeze-effect-video version: "1.0.0" description: Generate a cinematic "freeze effect" video where time stops mid-scene, the subject walks through the frozen world, then time resumes with a snap. acceptLicenseTerms: true

Freeze Effect Video

Generate a cinematic "freeze effect" video where time stops mid-scene, the subject walks through the frozen world, then time resumes with a snap.

Inputs

| Name | Type | Required | Default | Description | |:---|:---|:---|:---|:---| | photo | image_url | yes | — | Reference photo of the main character (face/body) whose appearance must remain consistent across all shots. | | scene | text | no | a packed, dimly lit sports bar with neon accents, blurred TVs showing a championship celebration | The setting where time will freeze (e.g. "a busy nightclub", "a wedding reception", "a stadium crowd"). | | freeze_moment | text | no | golden arcs of beer suspended midair, popcorn floating motionless, people frozen mid-cheer | The signature frozen visual — what hangs in the air when time stops. | | closing_line | text | no | perfect | A short word/phrase the character whispers before resuming time. | | aspect_ratio | text | no | 16:9 | Output aspect ratio — "16:9" for cinematic, "9:16" for vertical/social. | | duration | text | no | 15 | Target duration in seconds (10 or 15 recommended). |

Steps

Phase A — Generate the Freeze Effect Video

Submit the plan with ONE step:

  1. Freeze effect video — muapi video from-image (model=seedance-v2.0-i2v, quality=high, generate_audio=true):
    • Reference image: {{photo}}
    • Aspect ratio: {{aspect_ratio}}
    • Duration: {{duration}}
    • Resolution: 720p
    • Prompt:
      Ultra-realistic, shot on Arri Alexa Mini, 35mm lens, {{scene}}, volumetric haze, dynamic hard shadows, shallow depth of field.
      
      Main Character:
      The person from @image1. Facial features and body proportions remain consistent across all shots.
      
      [0:00–0:03]
      {{scene}}. Time flows normally.
      Steadicam frontal medium shot tracking the person walking confidently through the crowd.
      The crowd erupts in euphoria around them.
      As the person walks, they raise their right hand and snap.
      
      [0:03–0:06]
      At the snap, a subtle spherical shockwave bursts from their fingertips — air distortion and light refraction ripple outward.
      Everything freezes mid-motion.
      {{freeze_moment}}.
      Neon light catches dust and liquid in the air.
      Absolute silence.
      
      [0:06–0:09]
      Only the person moves.
      Soft, echoing footsteps.
      Camera tracks backward as they walk through the frozen scene, observing calmly.
      They reach out and pluck a single suspended detail from the air.
      
      [0:09–0:11]
      They stop in front of a frozen onlooker, face locked in an ecstatic expression.
      The person tilts their head, gently observes.
      Softly: "{{closing_line}}".
      
      [0:11–0:15]
      They turn, face the camera, smirk, and snap again.
      A stronger reverse shockwave ripples outward.
      Motion instantly resumes — sounds explode back, people land mid-jump.
      The person walks away as the camera pushes through the celebrating crowd.
      
      Fade to black.
      
      Sound Design:
      Deafening ambient celebration → snap → deep shockwave/bass drop → absolute silence → footsteps → soft whisper → snap → reverse shockwave → deafening celebration returns.
      

After generation, present the video to the user.

Notes

  • The character's identity is anchored by @image1 — the reference photo must clearly show the main subject's face.
  • For best results, choose a scene with crowd energy and lots of small objects (liquid, confetti, sparks) that can plausibly "freeze" in midair.
  • If the model rejects realistic human likeness, switch to the Global tier model (seedance-2-image-to-video-fast) which allows looser identity matching.
  • For vertical/social delivery, set aspect_ratio=9:16 and keep duration=10 for tighter pacing.
  • Always keep generate_audio=true — the snap → silence → snap audio arc is the signature of this effect and should not be muted.

Trigger Keywords

freeze effect, time freeze video, time stop video, snap freeze, frozen world, bullet time crowd, time stand still, pause time effect


Notes for the Executing Agent

  • This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is unset.
  • For model IDs without a CLI alias yet, fall back to the raw endpoint via curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait <request_id>.
  • Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.

Related Skills

View on GitHub
GitHub Stars4.3k
CategoryDevelopment
Updated19d ago
Forks496

Languages

Shell

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions