Agent skill

Av Sync Workflow

Audio-to-video synchronization workflow: analyze audio (beats, tempo, emotion, mood), find/match video clips to match scene and feeling, sync cuts to music beats, generate beat-marked videos.

MITAuto-check passedMedia & Creative

Install Av Sync Workflow

skills CLI

$ npx skills add aAAaqwq/AGI-Super-Team --skill av-sync-workflow -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team av-sync-workflow --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/av-sync-workflow .claude/skills/av-sync-workflow && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "av-sync-workflow" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/av-sync-workflow into .claude/skills/av-sync-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "av-sync-workflow", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/av-sync-workflow

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add aAAaqwq/AGI-Super-Team --skill av-sync-workflow -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team av-sync-workflow --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/av-sync-workflow .agents/skills/av-sync-workflow && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "av-sync-workflow" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/av-sync-workflow into .agents/skills/av-sync-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "av-sync-workflow", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add aAAaqwq/AGI-Super-Team --skill av-sync-workflow -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team av-sync-workflow --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/av-sync-workflow .cursor/skills/av-sync-workflow && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "av-sync-workflow" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/av-sync-workflow into .cursor/skills/av-sync-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "av-sync-workflow", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/aAAaqwq/AGI-Super-Team.git --path skills/av-sync-workflow

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add aAAaqwq/AGI-Super-Team --skill av-sync-workflow -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team av-sync-workflow --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/av-sync-workflow .gemini/skills/av-sync-workflow && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "av-sync-workflow" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/av-sync-workflow into .gemini/skills/av-sync-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "av-sync-workflow", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team av-sync-workflow

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add aAAaqwq/AGI-Super-Team --skill av-sync-workflow -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/av-sync-workflow .github/skills/av-sync-workflow && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "av-sync-workflow" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/av-sync-workflow into .github/skills/av-sync-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "av-sync-workflow", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add aAAaqwq/AGI-Super-Team --skill av-sync-workflow -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team av-sync-workflow --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/av-sync-workflow .opencode/skills/av-sync-workflow && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "av-sync-workflow" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/av-sync-workflow into .opencode/skills/av-sync-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "av-sync-workflow", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: av-sync-workflow
GitHub stars: 105
Token cost: ~1.4k tokens
SKILL.md length: 443 words
Files: 4 (incl. scripts, references)
Skills in repo: 152
Repo updated: Sep 27, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Audio-to-video synchronization workflow: analyze audio (beats, tempo, emotion, mood), find/match video clips to match scene and feeling, sync cuts to music beats, generate beat-marked videos.

Works in 5 steps: Analyze Audio → Gather Video Clips → Analyze Each Clip → …
Turn a song into a music video
SKILL.md covers Workflow Overview, Step 1: Analyze Audio, Step 2: Gather Video Clips and Step 3: Analyze Each Clip, plus 8 more sections
Runs Python scripts from its folder; calls python3, yt-dlp and ffmpeg; reaches pexels.com and pixabay.com

What it does

Av Sync Workflow is an agent skill from aAAaqwq/AGI-Super-Team. Audio-to-video synchronization workflow: analyze audio (beats, tempo, emotion, mood), find/match video clips to match scene and feeling, sync cuts to music beats, generate beat-marked videos. Use when user wants to: (1) turn a song into a music video, (2) sync video clips to music beats, (3) create a video that matches audio mood/scene/rhythm, (4) do beat-matching video editing. Triggers: "制作音乐视频", "音频转视频", "beat matching", "卡点视频", "音视频同步", "视频踩点", "music video creation", "sync video to audio"

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/beat_sync_principles.md`, `scripts/audio_analysis.py` and `scripts/simple_sync.py`).

It sits in Media & Creative, covering Video production. The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.

When your agent uses it

Turn a song into a music video
Sync video clips to music beats
Create a video that matches audio mood/scene/rhythm
Do beat-matching video editing

Example prompts

“制作音乐视频”
“beat matching”
“music video creation”
“/av-sync-workflow”

Requirements

Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

Analyze Audio
Gather Video Clips
Analyze Each Clip
Match Clips to Audio Sections
Generate Beat-Synced Video

What it can do on your machine

Read from SKILL.md and the folder at commit 331ecd3. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
- yt-dlp
- ffmpeg
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- pexels.com
- pixabay.com
- coverr.co
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Av Sync Workflow loads about 1.4k tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 129 tokens; SKILL.md has 443 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~129
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from aAAaqwq/AGI-Super-Team at commit 331ecd3, republished under its MIT licence (© aAAaqwq). 443 words, ~1,435 tokens.

Download SKILL.mdSave it as .claude/skills/av-sync-workflow/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: av-sync-workflow
description: Audio-to-video synchronization workflow: analyze audio (beats, tempo, emotion, mood), find/match video clips to match scene and feeling, sync cuts to music beats, generate beat-marked videos. Use when user wants to: (1) turn a song into a music video, (2) sync video clips to music beats, (3) create a video that matches audio mood/scene/rhythm, (4) do beat-matching video editing. Triggers: "制作音乐视频", "音频转视频", "beat matching", "卡点视频", "音视频同步", "视频踩点", "music video creation", "sync video to audio"

AV-Sync Workflow

Transform audio into a professionally edited video synchronized to beats, mood, and scene.

Workflow Overview

Audio → Analysis → Clip Matching → Beat Sync → Video Assembly → Export

Step 1: Analyze Audio

Use scripts/audio_analysis.py to extract:

Beats/BPM: Timestamp of each beat, overall tempo (BPM)
Sections: Verse, chorus, bridge, outro markers
Emotion/Mood: Energy level, valence (happy/sad), tempo category
Key moments: High-impact points (drops, climaxes, transitions)

bash

python3 scripts/audio_analysis.py /path/to/song.mp3 --output /tmp/analysis.json

Output structure:

json

{
  "bpm": 120,
  "duration": 214,
  "beats": [0.0, 0.5, 1.0, ...],
  "sections": [
    {"type": "intro", "start": 0, "end": 15},
    {"type": "verse", "start": 15, "end": 45},
    {"type": "chorus", "start": 45, "end": 75}
  ],
  "mood": {"energy": 0.7, "valence": 0.6, "danceability": 0.8},
  "key_moments": [
    {"time": 45.0, "type": "chorus_drop", "intensity": 1.0}
  ]
}

Step 2: Gather Video Clips

User provides video clips OR search for stock footage:

Stock footage sources:

Pexels: https://www.pexels.com/search/videos/{query}/
Pixabay: https://pixabay.com/videos/search/{query}/
Coverr: https://coverr.co/search/{query}

Download stock video:

bash

# Via yt-dlp (for pexels/pixabay)
yt-dlp -f "best[height<=1080]" -o "/tmp/clip_%(id)s.%(ext)s" "https://pexels.com/video/12345"

# Via direct URL
ffmpeg -i "https://example.com/video.mp4" -c copy /tmp/clip.mp4

Step 3: Analyze Each Clip

For each clip, extract:

Scene type (indoor/outdoor, city/nature, close-up/wide)
Mood/style (energetic/calm, happy/sad)
Duration and cut points
Visual elements (faces, motion, colors)

bash

python3 scripts/video_analysis.py /tmp/clip.mp4 --output /tmp/clip_analysis.json

Step 4: Match Clips to Audio Sections

Algorithm: Map clips to audio sections based on:

Emotion matching: High-energy chorus → energetic clips
Scene continuity: Smooth transitions between scenes
Beat alignment: Cut on beats for rhythm
Length fit: Clip duration matches section duration

bash

python3 scripts/match_clips.py \
  --audio-analysis /tmp/analysis.json \
  --clips /tmp/clip1.mp4,/tmp/clip2.mp4 \
  --clip-analyses /tmp/clip1_analysis.json,/tmp/clip2_analysis.json \
  --output /tmp/edit_plan.json

Step 5: Generate Beat-Synced Video

bash

python3 scripts/assemble_video.py \
  --edit-plan /tmp/edit_plan.json \
  --audio /path/to/song.mp3 \
  --output /tmp/final_video.mp4 \
  --format mp4 \
  --codec h264 \
  --quality high

Reference Scripts

`scripts/audio_analysis.py`

Analyzes audio file using librosa. Extracts:

Beat timestamps (per-beat and bar-level)
BPM
Onset strength envelope
Spectral features for mood
librosa-beat-grid output option

`scripts/video_analysis.py`

Analyzes video clip:

Dominant colors / color mood
Scene type classification (urban, nature, indoor, etc.)
Motion level (static, moderate, high)
Detected faces / people
Suggested cut points (scene changes)

`scripts/match_clips.py`

Intelligent clip-to-audio matching:

Emotion/mood alignment scoring
Scene variety ensuring no repetitive cuts
Beat-synced cut point optimization
Output: detailed edit decision list (EDL)

`scripts/assemble_video.py`

Final video assembly:

Apply cut points from edit plan
Add smooth transitions (dissolve, fade)
Add slow-motion on climactic beats
Mix audio track
Export at specified quality

Show full SKILL.md (183 more words)Show less

Beat-Sync Cut Points

For every beat in the audio, consider:

Strong beat (bar 1): Major cut or transition
Weak beat (bar 2-4): Minor cut or no cut
Off-beat: Effect triggers (zoom, flash)

Standard cut cadence:

4-beat bars: Cut every 4 or 8 beats
Chorus: Cut every 2 beats for high energy
Outro: Gradual slowdown, fade

Quick Start (Minimal)

If user provides just audio + one video:

bash

# 1. Detect beats
python3 scripts/audio_analysis.py song.mp3 -o beats.json

# 2. Simple beat-sync assembly
python3 scripts/simple_sync.py --audio song.mp3 --clip video.mp4 --beats beats.json -o output.mp4

Quality Settings

Quality	Resolution	Bitrate	Use Case
draft	720p	2Mbps	Quick preview
standard	1080p	5Mbps	Social media
high	1080p	10Mbps	YouTube
premium	4K	20Mbps	Final output

Key Notes

FFmpeg required: Most scripts depend on ffmpeg being installed
Audio duration vs video clips: If clips shorter than audio, loop or find more clips
BPM > 140: Consider half-time editing for drop-songs
Transitions: Default is cut-only (beat-sync), add dissolves for chorus sections
Mood input: If user specifies mood (e.g., "sad, rainy, nostalgic"), prioritize that over automatic analysis

Troubleshooting

No beats detected: Audio may be recorded poorly; try --spectral mode
Clip too short: Auto-loop small clips up to 3x original length
Aspect ratio mismatch: Automatically crop/pad to 16:9 or 9:16 for reels

Files

SKILL.md and 3 other files (scripts, references) in skills/av-sync-workflow of aAAaqwq/AGI-Super-Team.

SKILL.md
references/beat_sync_principles.md
scripts/audio_analysis.py
scripts/simple_sync.py

Open the folder on GitHubat commit 331ecd3

Compare with similar skills

Av Sync Workflow next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Av Sync Workflow compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Av Sync Workflow this skillaAAaqwq/AGI-Super-Team	105	—	~1.4k	Automated safety check: Pass	MIT	11 days ago
HyperFrames Animationheygen-com/hyperframes	59k	3 repos	~2.1k	Automated safety check: Pass	Apache-2.0	yesterday
Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills	8.4k	6 repos	~3.2k	Automated safety check: Notes	Apache-2.0	1 mo ago
Faceless Explainer Videoheygen-com/hyperframes	59k	3 repos	~7.7k	Automated safety check: Notes	Apache-2.0	yesterday
Video Understandcalesthio/OpenMontage	65k	—	~841	Automated safety check: Pass	AGPL-3.0	5 days ago
Video ShotcraftVincentwei1021/video-shotcraft	11k	—	~2.6k	Automated safety check: Pass	Apache-2.0	3 days ago

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Questions about Av Sync Workflow

What does Av Sync Workflow do?

Audio-to-video synchronization workflow: analyze audio (beats, tempo, emotion, mood), find/match video clips to match scene and feeling, sync cuts to music beats, generate beat-marked videos. Av Sync Workflow is an agent skill from aAAaqwq/AGI-Super-Team. Audio-to-video synchronization workflow: analyze audio (beats, tempo, emotion, mood), find/match video clips to match scene and feeling, sync cuts to music beats, generate beat-marked videos.

When should I use Av Sync Workflow?

Av Sync Workflow fits situations like: turn a song into a music video; sync video clips to music beats; create a video that matches audio mood/scene/rhythm; do beat-matching video editing.

How do I install Av Sync Workflow in Claude Code?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill av-sync-workflow -a claude-code`. Or copy the skill folder (skills/av-sync-workflow in aAAaqwq/AGI-Super-Team) into .claude/skills/av-sync-workflow in your project. Claude Code loads it when a task matches its description.

How do I install Av Sync Workflow in Codex?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill av-sync-workflow -a codex`. Or copy the skill folder (skills/av-sync-workflow in aAAaqwq/AGI-Super-Team) into .agents/skills/av-sync-workflow in your project. Codex loads it when a task matches its description.

Can I use Av Sync Workflow in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aAAaqwq/AGI-Super-Team --skill av-sync-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/av-sync-workflow, .gemini/skills/av-sync-workflow, .github/skills/av-sync-workflow and .opencode/skills/av-sync-workflow in your project.

What does Av Sync Workflow need to run?

Going by SKILL.md and its folder, Av Sync Workflow needs Python for the scripts in its folder and the command-line tools its instructions call (python3, yt-dlp and ffmpeg). Our summary lists: Python 3.

Does Av Sync Workflow access the network?

SKILL.md names 3 domains. In commands or code: pexels.com, pixabay.com and coverr.co; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Av Sync Workflow safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Av Sync Workflow use?

Av Sync Workflow is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Av Sync Workflow use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 730 tokens, read only when the agent opens those files.

What are the alternatives to Av Sync Workflow?

Skills that share tags, products or a category with Av Sync Workflow: HyperFrames Animation (heygen-com/hyperframes, 59k stars), Stitch to Remotion Walkthrough Videos (google-labs-code/stitch-skills, 8.4k stars), Faceless Explainer Video (heygen-com/hyperframes, 59k stars) and Video Understand (calesthio/OpenMontage, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Av Sync Workflow?

aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 152 skills in this directory. The repository was last updated on September 27, 2026.

Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Av Sync Workflow

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

AV-Sync Workflow

Workflow Overview

Step 1: Analyze Audio

Step 2: Gather Video Clips

Step 3: Analyze Each Clip

Step 4: Match Clips to Audio Sections

Step 5: Generate Beat-Synced Video

Reference Scripts

scripts/audio_analysis.py

scripts/video_analysis.py

scripts/match_clips.py

scripts/assemble_video.py

Beat-Sync Cut Points

Quick Start (Minimal)

Quality Settings

Key Notes

Troubleshooting

Files

Compare with similar skills

Similar skills

More from aAAaqwq/AGI-Super-Team

Related

Questions about Av Sync Workflow

`scripts/audio_analysis.py`

`scripts/video_analysis.py`

`scripts/match_clips.py`

`scripts/assemble_video.py`