Video Generation
bytedance/deer-flow
Generates short videos from a structured JSON prompt, optionally guided by a reference image used as the first or last frame.
MediaClaw 内置的音乐视频端到端生成技能. An agent skill from aAAaqwq/AGI-Super-Team.
$ npx skills add aAAaqwq/AGI-Super-Team --skill mv-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team mv-generator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mv-generator .claude/skills/mv-generator && rm -rf skills-srcUse ~/.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/
Install the "mv-generator" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/mv-generator into .claude/skills/mv-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mv-generator", 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 install https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/mv-generatorType 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.
$ npx skills add aAAaqwq/AGI-Super-Team --skill mv-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team mv-generator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/mv-generator .agents/skills/mv-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mv-generator" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/mv-generator into .agents/skills/mv-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mv-generator", 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.
$ npx skills add aAAaqwq/AGI-Super-Team --skill mv-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team mv-generator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/mv-generator .cursor/skills/mv-generator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "mv-generator" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/mv-generator into .cursor/skills/mv-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mv-generator", 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 https://github.com/aAAaqwq/AGI-Super-Team.git --path skills/mv-generator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aAAaqwq/AGI-Super-Team --skill mv-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team mv-generator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/mv-generator .gemini/skills/mv-generator && rm -rf skills-srcUse ~/.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/
Install the "mv-generator" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/mv-generator into .gemini/skills/mv-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mv-generator", 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.
$ gh skill install aAAaqwq/AGI-Super-Team mv-generatorInstalls 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).
$ npx skills add aAAaqwq/AGI-Super-Team --skill mv-generator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/mv-generator .github/skills/mv-generator && rm -rf skills-srcUse ~/.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/
Install the "mv-generator" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/mv-generator into .github/skills/mv-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mv-generator", 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.
$ npx skills add aAAaqwq/AGI-Super-Team --skill mv-generator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team mv-generator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/mv-generator .opencode/skills/mv-generator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "mv-generator" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/mv-generator into .opencode/skills/mv-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mv-generator", 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.
mv-generatorMediaClaw 内置的音乐视频端到端生成技能. An agent skill from aAAaqwq/AGI-Super-Team.
Mv Generator is an agent skill from aAAaqwq/AGI-Super-Team. MediaClaw 内置的音乐视频端到端生成技能。 End-to-end MV (music video) generation pipeline for virtual singers. Audio analysis → Scene timeline → Frame generation → Video generation → Final merge. Use when: creating music videos, generating MV frames, syncing video to audio.
Its SKILL.md is about 830 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/audio-analyzer.py`).
It sits in Media & Creative, covering AI video generation. 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.
Read from SKILL.md and the folder at commit 7cefd81. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Mv Generator loads about 826 tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 135 words of instructions outside code blocks.
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.
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.
The full file from aAAaqwq/AGI-Super-Team at commit 7cefd81, republished under its MIT licence (© aAAaqwq). 135 words, ~826 tokens.
.claude/skills/mv-generator/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.MediaClaw 内置的音乐视频端到端生成技能。
音频文件 + 歌词 + 角色卡
│
▼
┌────────────────────────────┐
│ Step 1: 音频分析 │
│ scripts/audio-analyzer.py │
│ → 时长、BPM、场景时间线 │
└────────────┬───────────────┘
│
▼
┌────────────────────────────┐
│ Step 2: 歌词解析 │
│ scripts/lyrics-parser.py │
│ → 段落结构、情绪曲线 │
└────────────┬───────────────┘
│
▼
┌────────────────────────────┐
│ Step 3: 场景+帧设计 │
│ scripts/scene-design.py │
│ → 场景类型、运镜、首尾帧prompt │
└────────────┬───────────────┘
│
▼
┌────────────────────────────┐
│ Step 4: 帧图像生成 │
│ qingyun gpt-image-1 API │
│ → 每场景 first+last frame │
└────────────┬───────────────┘
│
▼
┌────────────────────────────┐
│ Step 5: 视频片段生成 │
│ kling-2 / veo-3.1 / etc │
│ → 首帧→尾帧 5s 视频片段 │
└────────────┬───────────────┘
│
▼
┌────────────────────────────┐
│ Step 6: 最终合成 │
│ FFmpeg merge │
│ → 音轨对齐+转场+字幕 │
└────────────────────────────┘| 参数 | 必填 | 说明 |
|---|---|---|
audio_file | ✅ | 音频文件路径 (.mp3/.wav/.m4a) |
lyrics | ✅ | 歌词文本 |
character_card | ✅ | 角色卡 JSON(外貌、声音、风格) |
style | ❌ | cinematic / realistic / anime / ethereal |
num_scenes | ❌ | 分镜数(默认 9) |
output_dir | ❌ | 输出目录(默认: MediaClaw/output/<project>/) |
output/<project-name>/
├── README.md ← 项目概要 + 时间轴
├── frames/ ← 首尾帧图像
│ ├── 01_first.png
│ ├── 01_last.png
│ └── ...
├── audio/ ← 音频文件(多版本)
│ └── song_v1.mp3
├── script/ ← MV 剧本
│ ├── mv_final.json ← 精准时间轴 JSON
│ ├── mv_final.md ← 人类可读剧本
│ └── character.json ← 角色卡
├── docs/ ← 文档和参考素材
│ └── avatar.png
└── video/ ← 生成的视频片段(Step 5 产出)
├── scene_01.mp4
└── ...| 项目 | 推荐 | 备注 |
|---|---|---|
| 模型 | qingyun gpt-image-1 | 成功率最高 |
| API | /v1/images/generations | 比 edits 更稳定 |
| 尺寸 | 1024x1536(竖版) | 必须用规定尺寸 |
| 并发 | 2-3 并发 | 过多会 SSL EOF |
| 重试 | 失败单独重试 | 不整批重跑 |
mutagen 读 MP3 时长(无需 ffprobe)librosa(可选)| 情绪 | 模型 | 场景类型 |
|---|---|---|
| ≤ 6.0 | kling-1.6 | 静态/自然/国风 |
| 6.0-8.0 | kling-1.6 或 kling-2 | 过渡 |
| ≥ 8.0 | kling-2 | 爆发/力量 |
| 360°旋转 | veo-3.1 | 特殊运镜 |
© aAAaqwq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (scripts) in skills/mv-generator of aAAaqwq/AGI-Super-Team.
Open the folder on GitHubat commit 7cefd81
Mv Generator 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Mv Generator this skillaAAaqwq/AGI-Super-Team | 105 | — | ~826 | Automated safety check: Pass | MIT | |
| Video Generationbytedance/deer-flow | 84k | 3 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Video Cover Imageitwanger/toBeBetterJavaer | 18k | — | ~3.3k | Automated safety check: Pass | None | |
| Seedancesongguoxs/seedance-prompt-skill | 2.9k | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 60k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Lanshu Create AI Presenter Videocclank/lanshu-create-ai-presenter-video | 2.6k | — | ~3.6k | Automated safety check: Pass | MIT |
bytedance/deer-flow
Generates short videos from a structured JSON prompt, optionally guided by a reference image used as the first or last frame.
itwanger/toBeBetterJavaer
Generate matched 3:4, 16:9, and 4:3 short-video cover images from toBeBetterJavaer video scripts or AI/Java technical topics.
songguoxs/seedance-prompt-skill
This skill should be used when the user asks to "generate video prompts", "create Seedance prompts", "write video descriptions", mentions "Seedance", "seedance", "即梦", "即梦平台", "视频提示词", "视频生成"…
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
cclank/lanshu-create-ai-presenter-video
Turn a topic or finished script into a complete, publish-ready explainer video — led by an AI presenter from an authorized adult presenter image, or performed in one of nine visual explainer styles…
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Categories
MediaClaw 内置的音乐视频端到端生成技能. An agent skill from aAAaqwq/AGI-Super-Team. Mv Generator is an agent skill from aAAaqwq/AGI-Super-Team. MediaClaw 内置的音乐视频端到端生成技能。 End-to-end MV (music video) generation pipeline for virtual singers.
Mv Generator fits situations like: : creating music videos; generating MV frames; syncing video to audio.
Run `npx skills add aAAaqwq/AGI-Super-Team --skill mv-generator -a claude-code`. Or copy the skill folder (skills/mv-generator in aAAaqwq/AGI-Super-Team) into .claude/skills/mv-generator in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aAAaqwq/AGI-Super-Team --skill mv-generator -a codex`. Or copy the skill folder (skills/mv-generator in aAAaqwq/AGI-Super-Team) into .agents/skills/mv-generator in your project. Codex loads it when a task matches its description.
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 mv-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mv-generator, .gemini/skills/mv-generator, .github/skills/mv-generator and .opencode/skills/mv-generator in your project.
Going by SKILL.md and its folder, Mv Generator needs Python for the scripts in its folder. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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.
Mv Generator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 826 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Mv Generator: Video Generation (bytedance/deer-flow, 84k stars), Video Cover Image (itwanger/toBeBetterJavaer, 18k stars), Seedance (songguoxs/seedance-prompt-skill, 2.9k stars) and HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 167 skills in this directory. The repository was last updated on October 8, 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.