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Agent skill

Minimax Studio

by LeoYeAI in LeoYeAI/openclaw-master-skills

Create voice, music, and video with MiniMax AI models. An agent skill from LeoYeAI/openclaw-master-skills.

MITAuto-check: notesMedia & Creative

Install Minimax Studio

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill minimax-studio -a claude-code

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

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills minimax-studio --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/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/minimaxstudio .claude/skills/minimax-studio && 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/

Facts

Skill name
minimax-studio
GitHub stars
2.2k
Token cost
~5.9k tokens
SKILL.md length
1,689 words
Files
27 (incl. scripts, references)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Create voice, music, and video with MiniMax AI models. An agent skill from LeoYeAI/openclaw-master-skills.

  • Works in 4 steps: Before running any script, ensure… → Always use absolute or relative paths… → Never cd into the skill directory to run… → …
  • User wants to generate speech audio
  • SKILL.md covers Output Directory, Prerequisites, Key Capabilities and TTS (Text-to-Speech), plus 3 more sections
  • Runs Python scripts from its folder; calls python, pip and brew; needs MINIMAX_API_KEY

What it does

Minimax Studio is an agent skill from LeoYeAI/openclaw-master-skills. Create voice, music, and video with MiniMax AI models. Unified skill for TTS voice synthesis (text-to-speech, voice cloning, voice design, multi-segment generation), music generation (songs, instrumentals), video creation (text-to-video, image-to-video, start-end frame, subject reference, templates, long-form multi-scene), and media processing (audio/video format conversion, concatenation, trimming, extraction). Use when user wants to generate speech audio, create songs or instrumental tracks, produce AI videos…

Its SKILL.md is about 5.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 30 other files, including scripts and reference files (for example `_meta.json`, `references/music-api.md` and `references/tts-guide.md`).

It sits in Media & Creative, covering Text to speech and voice and AI video generation. It works with MiniMax. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • User wants to generate speech audio
  • Instrumental tracks
  • Produce AI videos
  • Convert media formats

Example prompts

  • “/minimax-studio”

Requirements

  • Python 3
  • A credential in MINIMAX_API_KEY

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Before running any script, ensure minimax-output/ exists in the agent's working directory (create if needed: mkdir -p minimax-output)
  2. Always use absolute or relative paths from the agent's working directory: --output minimax-output/video.mp4
  3. Never cd into the skill directory to run scripts — run from the agent's working directory using the full script path
  4. Intermediate/temp files (segment audio, video segments, extracted frames) are automatically placed in minimax-output/tmp/. They can be…

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. 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 9 files in scripts/ (Python, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • pip
    • brew

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • platform.minimaxi.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • MINIMAX_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Minimax Studio loads about 5.9k tokens when it runs, and up to ~18k if it reads all its reference files. Until then it costs about 160 tokens; SKILL.md has 1,689 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~160
When it runs · the whole SKILL.md, loaded when a task matches
~5.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~18k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:33
    1. **`.env` file** (recommended — persists across sessions):
  • NoteMentions a .env fileSKILL.md:34
    Create a `.env` file in the MiniMaxStudio project root (alongside SKILL.md):
  • NoteMentions a .env fileSKILL.md:38
    All scripts automatically load `.env` on startup. Environment variables take precedence over `.env` values.
  • NoteMentions a .env fileSKILL.md:46
    X_API_KEY` is available (via env var or `.env` file). If it is NOT configured:
  • NoteMentions a .env fileSKILL.md:48
    2. Write the key to the `.env` file in the **MiniMaxStudio skill directory** (i.e., the directory containing this SKILL.
  • NoteMentions a .env fileSKILL.md:480
    ├── env_loader.py                # .env file loader (auto-loaded by all scripts)

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 LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,689 words, ~5,888 tokens.

Download SKILL.mdSave it as .claude/skills/minimax-studio/SKILL.md (or your agent's skills folder). This skill also uses 26 other files; get the full folder from GitHub.
name
minimax-studio
description
Create voice, music, and video with MiniMax AI models. Unified skill for TTS voice synthesis (text-to-speech, voice cloning, voice design, multi-segment generation), music generation (songs, instrumentals), video creation (text-to-video, image-to-video, start-end frame, subject reference, templates, long-form multi-scene), and media processing (audio/video format conversion, concatenation, trimming, extraction). Use when user wants to generate speech audio, create songs or instrumental tracks, produce AI videos, clone or design voices, convert media formats, merge/split audio or video files, or work with MiniMax APIs.

MiniMax Studio

Generate voice, music, and video content via MiniMax APIs. Includes voice cloning & voice design for custom voices, and FFmpeg-based media tools for audio/video format conversion, concatenation, trimming, and extraction.

Output Directory

All generated files MUST be saved to minimax-output/ under the AGENT'S current working directory (NOT the skill directory). Every script call MUST include an explicit --output / -o argument pointing to this location. Never omit the output argument or rely on script defaults.

Rules:

  1. Before running any script, ensure minimax-output/ exists in the agent's working directory (create if needed: mkdir -p minimax-output)
  2. Always use absolute or relative paths from the agent's working directory: --output minimax-output/video.mp4
  3. Never cd into the skill directory to run scripts — run from the agent's working directory using the full script path
  4. Intermediate/temp files (segment audio, video segments, extracted frames) are automatically placed in minimax-output/tmp/. They can be cleaned up when no longer needed: rm -rf minimax-output/tmp

Prerequisites

bash
pip install -r requirements.txt   # requests, websockets, ffmpeg-python
brew install ffmpeg                # macOS
python scripts/check_environment.py
API Key Configuration

The MINIMAX_API_KEY can be provided in two ways (either works):

  1. .env file (recommended — persists across sessions): Create a .env file in the MiniMaxStudio project root (alongside SKILL.md):

    MINIMAX_API_KEY=sk-api-xxxxxxxxxxxxxxxxxxxxxxxx

    All scripts automatically load .env on startup. Environment variables take precedence over .env values.

  2. Environment variable:

    bash
    export MINIMAX_API_KEY="sk-api-xxxxxxxxxxxxxxxxxxxxxxxx"

IMPORTANT — When API Key is missing: Before running any script, check if MINIMAX_API_KEY is available (via env var or .env file). If it is NOT configured:

  1. Ask the user to provide their MiniMax API key
  2. Write the key to the .env file in the MiniMaxStudio skill directory (i.e., the directory containing this SKILL.md): echo 'MINIMAX_API_KEY=sk-api-xxxxx' > <skill_directory>/.env
  3. Do NOT store the key in the agent's working directory — always write to the skill directory so it persists for all future sessions
  4. The key starts with sk-api-, obtainable from https://platform.minimaxi.com

Key Capabilities

CapabilityDescriptionEntry point
TTSText-to-speech synthesis with multiple voices and emotionsscripts/tts/generate_voice.py
Voice CloningClone a voice from an audio sample (10s–5min)scripts/tts/generate_voice.py clone
Voice DesignCreate a custom voice from a text descriptionscripts/tts/generate_voice.py design
Music GenerationGenerate songs with lyrics or instrumental tracksscripts/music/generate_music.py
Video GenerationText-to-video, image-to-video, subject reference, templatesscripts/video/generate_video.py
Long VideoMulti-scene chained video with crossfade transitionsscripts/video/generate_long_video.py
Media ToolsAudio/video format conversion, concatenation, trimming, extractionscripts/media_tools.py

TTS (Text-to-Speech)

Entry point: scripts/tts/generate_voice.py

IMPORTANT: Single voice vs Multi-segment — Choose the right approach
User intentApproach
Single voice / no multi-character needtts command — generate the entire text in one call
Multiple characters / narrator + dialoguegenerate command with segments.json

Default behavior: When the user simply asks to generate speech/voice and does NOT mention multiple voices or characters, use the tts command directly with a single appropriate voice. Do NOT split into segments or use the multi-segment pipeline — just pass the full text to tts in one call.

Only use multi-segment generate when:

  • The user explicitly needs multiple voices/characters
  • The text requires narrator + character dialogue separation
  • The text exceeds 10,000 characters (API limit per request) — in this case, split into segments with the same voice
Single-voice generation (DEFAULT)
bash
python scripts/tts/generate_voice.py tts "Hello world" -o minimax-output/hello.mp3
python scripts/tts/generate_voice.py tts "你好世界" -v female-shaonv -o minimax-output/hello_cn.mp3
Multi-segment generation (multi-voice / audiobook / podcast)

Complete workflow — follow ALL steps in order:

  1. Write segments.json — split text into segments with voice assignments (see format and rules below)
  2. Run generate command — this reads segments.json, generates audio for EACH segment via TTS API, then merges them into a single output file with crossfade
bash
# Step 1: Write segments.json to minimax-output/
# (use the Write tool to create minimax-output/segments.json)

# Step 2: Generate audio from segments.json — this is the CRITICAL step
# It generates each segment individually and merges them into one file
python scripts/tts/generate_voice.py generate minimax-output/segments.json \
  -o minimax-output/output.mp3 --crossfade 200

Do NOT skip Step 2. Writing segments.json alone does nothing — you MUST run the generate command to actually produce audio.

Voice management
bash
# List all available voices
python scripts/tts/generate_voice.py list-voices

# Voice cloning (from audio sample, 10s–5min)
python scripts/tts/generate_voice.py clone sample.mp3 --voice-id my-voice

# Voice design (from text description)
python scripts/tts/generate_voice.py design "A warm female narrator voice" --voice-id narrator
Audio processing
bash
python scripts/tts/generate_voice.py merge part1.mp3 part2.mp3 -o minimax-output/combined.mp3
python scripts/tts/generate_voice.py convert input.wav -o minimax-output/output.mp3
TTS Models
ModelNotes
speech-2.8-hdRecommended, auto emotion matching
speech-2.8-turboFaster variant
speech-2.6-hdPrevious gen, manual emotion
speech-2.6-turboPrevious gen, faster
segments.json Format

Default crossfade between segments: 200ms (--crossfade 200).

json
[
  { "text": "Hello!", "voice_id": "female-shaonv", "emotion": "" },
  { "text": "Welcome.", "voice_id": "male-qn-qingse", "emotion": "happy" }
]

Leave emotion empty for speech-2.8 models (auto-matched from text).

IMPORTANT: Multi-Segment Script Generation Rules (Audiobooks, Podcasts, etc.)

When generating segments.json for audiobooks, podcasts, or any multi-character narration, you MUST split narration text from character dialogue into separate segments with distinct voices.

Rule: Narration and dialogue are ALWAYS separate segments.

A sentence like "Tom said: The weather is great today!" must be split into two segments:

  • Segment 1 (narrator voice): "Tom said:"
  • Segment 2 (character voice): "The weather is great today!"

Example — Audiobook with narrator + 2 characters:

json
[
  { "text": "Morning sunlight streamed into the classroom as students filed in one by one.", "voice_id": "narrator-voice", "emotion": "" },
  { "text": "Tom smiled and turned to Lisa:", "voice_id": "narrator-voice", "emotion": "" },
  { "text": "The weather is amazing today! Let's go to the park after school!", "voice_id": "tom-voice", "emotion": "happy" },
  { "text": "Lisa thought for a moment, then replied:", "voice_id": "narrator-voice", "emotion": "" },
  { "text": "Sure, but I need to drop off my backpack at home first.", "voice_id": "lisa-voice", "emotion": "" },
  { "text": "They exchanged a smile and went back to listening to the lecture.", "voice_id": "narrator-voice", "emotion": "" }
]

Key principles:

  1. Narrator uses a consistent neutral narrator voice throughout
  2. Each character has a dedicated voice_id, maintained consistently across all their dialogue
  3. Split at dialogue boundaries — "He said:" is narrator, the quoted content is the character
  4. Do NOT merge narrator text and character speech into a single segment
  5. For characters without pre-existing voice_ids, use voice cloning or voice design to create them first, then reference the created voice_id in segments

Music Generation

Entry point: scripts/music/generate_music.py

IMPORTANT: Instrumental vs Lyrics — When to use which
ScenarioModeAction
BGM for video / voice / podcastInstrumental (default)Use --instrumental directly, do NOT ask user
User explicitly asks to "create music" / "make a song"Ask user firstAsk whether they want instrumental or with lyrics

When adding background music to video or voice content, always default to instrumental mode (--instrumental). Do not ask the user — BGM should never have vocals competing with the main content.

When the user explicitly asks to create/generate music as the primary task, ask them whether they want:

  • Instrumental (pure music, no vocals)
  • With lyrics (song with vocals — user provides or you help write lyrics)
bash
# Instrumental (for BGM or when user chooses instrumental)
python scripts/music/generate_music.py \
  --instrumental \
  --prompt "ambient electronic, atmospheric" \
  --output minimax-output/ambient.mp3 --download

# Song with lyrics (when user chooses vocal music)
python scripts/music/generate_music.py \
  --lyrics "[verse]\nHello world\n[chorus]\nLa la la" \
  --prompt "indie folk, melancholic" \
  --output minimax-output/song.mp3 --download

# With style fields
python scripts/music/generate_music.py \
  --lyrics "[verse]\nLyrics here" \
  --genre "pop" --mood "upbeat" --tempo "fast" \
  --output minimax-output/pop_track.mp3 --download
Music Models
ModelNotes
music-2.5+Recommended, supports --instrumental
music-2.5Previous version

Video Generation

IMPORTANT: Single vs Multi-Segment — Choose the right script
User intentScript to use
Default / no special requestscripts/video/generate_video.py (single segment, 10s, 768P)
User explicitly asks for "long video", "multi-scene", "story", or duration > 10sscripts/video/generate_long_video.py (multi-segment)

Default behavior: Always use single-segment generate_video.py with duration 10s and resolution 768P unless the user explicitly asks for a long video, multi-scene video, or specifies a total duration exceeding 10 seconds. Do NOT automatically split into multiple segments — a single 10s video is the standard output. Only use generate_long_video.py when the user clearly needs multi-scene or longer content.

Entry point (single video): scripts/video/generate_video.py Entry point (long/multi-scene): scripts/video/generate_long_video.py

Show full SKILL.md (695 more words)Show less
Video Model Constraints (MUST follow)

Duration limits by model and resolution:

Model720P768P1080P
MiniMax-Hailuo-2.3-6s or 10s6s only
MiniMax-Hailuo-2.3-Fast-6s or 10s6s only
MiniMax-Hailuo-02-6s or 10s6s only
T2V-01 / T2V-01-Director6s only--
I2V-01 / I2V-01-Director / I2V-01-live6s only--
S2V-01 (ref)6s only--

Resolution options by model and duration:

Model6s10s
MiniMax-Hailuo-2.3768P (default), 1080P768P only
MiniMax-Hailuo-2.3-Fast768P (default), 1080P768P only
MiniMax-Hailuo-02512P, 768P (default), 1080P512P, 768P (default)
Other models720P (default)Not supported

Key rules:

  • Default: 10s + 768P (best balance of length and quality for MiniMax-Hailuo-2.3)
  • 1080P only supports 6s duration — if user requests 1080P, set --duration 6
  • 10s duration only works with 768P (or 512P on Hailuo-02) — never combine 10s + 1080P
  • Older models (T2V-01, I2V-01, S2V-01) only support 6s at 720P
IMPORTANT: Prompt Optimization (MUST follow before generating any video)

Before calling any video generation script, you MUST optimize the user's prompt by reading and applying references/video-prompt-guide.md. Never pass the user's raw description directly as --prompt.

Optimization steps:

  1. Apply the Professional Formula: Main subject + Scene + Movement + Camera motion + Aesthetic atmosphere

    • BAD: "A puppy in a park"
    • GOOD: "A golden retriever puppy runs toward the camera on a sun-dappled grass path in a park, [跟随] smooth tracking shot, warm golden hour lighting, shallow depth of field, joyful atmosphere"

  2. Add camera instructions using [指令] syntax: [推进], [拉远], [跟随], [固定], [左摇], etc.

  3. Include aesthetic details: lighting (golden hour, dramatic side lighting), color grading (warm tones, cinematic), texture (dust particles, rain droplets), atmosphere (intimate, epic, peaceful)

  4. Keep to 1-2 key actions for 6-10 second videos — do not overcrowd with events

  5. For i2v mode (image-to-video): Focus prompt on movement and change only, since the image already establishes the visual. Do NOT re-describe what's in the image.

    • BAD: "A lake with mountains" (just repeating the image)
    • GOOD: "Gentle ripples spread across the water surface, a breeze rustles the distant trees, [固定] fixed camera, soft morning light, peaceful and serene"

  6. For multi-segment long videos: Each segment's prompt must be self-contained and optimized individually. The i2v segments (segment 2+) should describe motion/change relative to the previous segment's ending frame.

bash
# Text-to-video (default: 10s, 768P)
python scripts/video/generate_video.py \
  --mode t2v \
  --prompt "A golden retriever puppy bounds toward the camera on a sunlit grass path, [跟随] tracking shot, warm golden hour, shallow depth of field, joyful" \
  --output minimax-output/puppy.mp4

# Text-to-video with 1080P (must use --duration 6)
python scripts/video/generate_video.py \
  --mode t2v \
  --prompt "A golden retriever puppy bounds toward the camera" \
  --duration 6 --resolution 1080P \
  --output minimax-output/puppy_hd.mp4

# Image-to-video (prompt focuses on MOTION, not image content)
python scripts/video/generate_video.py \
  --mode i2v \
  --prompt "The petals begin to sway gently in the breeze, soft light shifts across the surface, [固定] fixed framing, dreamy pastel tones" \
  --first-frame photo.jpg \
  --output minimax-output/animated.mp4

# Start-end frame interpolation (sef mode uses MiniMax-Hailuo-02)
python scripts/video/generate_video.py \
  --mode sef \
  --first-frame start.jpg --last-frame end.jpg \
  --output minimax-output/transition.mp4

# Subject reference (face consistency, ref mode uses S2V-01, 6s only)
python scripts/video/generate_video.py \
  --mode ref \
  --prompt "A young woman in a white dress walks slowly through a sunlit garden, [跟随] smooth tracking, warm natural lighting, cinematic depth of field" \
  --subject-image face.jpg \
  --duration 6 \
  --output minimax-output/person.mp4
Long-form Video (Multi-scene)

Multi-scene long videos chain segments together: the first segment generates via text-to-video (t2v), then each subsequent segment uses the last frame of the previous segment as its first frame (i2v). Segments are joined with crossfade transitions for smooth continuity. Default is 10 seconds per segment.

Workflow:

  1. Segment 1: t2v — generated purely from the optimized text prompt
  2. Segment 2+: i2v — the previous segment's last frame becomes first_frame_image, prompt describes motion and change from that ending state
  3. All segments are concatenated with 0.5s crossfade transitions to eliminate jump cuts
  4. Optional: AI-generated background music is overlaid

Prompt rules for each segment:

  • Each segment prompt MUST be independently optimized using the Professional Formula
  • Segment 1 (t2v): Full scene description with subject, scene, camera, atmosphere
  • Segment 2+ (i2v): Focus on what changes and moves from the previous ending frame. Do NOT repeat the visual description — the first frame already provides it
  • Maintain visual consistency: keep lighting, color grading, and style keywords consistent across segments
  • Each segment covers only 10 seconds of action — keep it focused
bash
# Example: 3-segment story with optimized per-segment prompts (default: 10s/segment, 768P)
python scripts/video/generate_long_video.py \
  --scenes \
    "A lone astronaut stands on a red desert planet surface, wind blowing dust particles, [推进] slow push in toward the visor, dramatic rim lighting, cinematic sci-fi atmosphere" \
    "The astronaut turns and begins walking toward a distant glowing structure on the horizon, dust swirling around boots, [跟随] tracking from behind, vast desolate landscape, golden light from the structure" \
    "The astronaut reaches the structure entrance, a massive doorway pulses with blue energy, [推进] slow push in toward the doorway, light reflects off the visor, awe-inspiring epic scale" \
  --music-prompt "cinematic orchestral ambient, slow build, sci-fi atmosphere" \
  --output minimax-output/long_video.mp4

# With custom settings
python scripts/video/generate_long_video.py \
  --scenes "Scene 1 prompt" "Scene 2 prompt" \
  --segment-duration 10 \
  --resolution 768P \
  --crossfade 0.5 \
  --music-prompt "calm ambient background music" \
  --output minimax-output/long_video.mp4
Add Background Music
bash
python scripts/video/add_bgm.py \
  --video input.mp4 \
  --generate-bgm --instrumental \
  --music-prompt "soft piano background" \
  --bgm-volume 0.3 \
  --output minimax-output/output_with_bgm.mp4
Template Video
bash
python scripts/video/generate_template_video.py \
  --template-id 392753057216684038 \
  --media photo.jpg \
  --output minimax-output/template_output.mp4
Video Models
ModeDefault ModelDefault DurationDefault ResolutionNotes
t2vMiniMax-Hailuo-2.310s768PLatest text-to-video
i2vMiniMax-Hailuo-2.310s768PLatest image-to-video
sefMiniMax-Hailuo-026s768PStart-end frame
refS2V-016s720PSubject reference, 6s only

Media Tools (Audio/Video Processing)

Entry point: scripts/media_tools.py

Standalone FFmpeg-based utilities for format conversion, concatenation, extraction, trimming, and audio overlay. Use these when the user needs to process existing media files without generating new content via MiniMax API.

Video Format Conversion
bash
# Convert between formats (mp4, mov, webm, mkv, avi, ts, flv)
python scripts/media_tools.py convert-video input.webm -o output.mp4
python scripts/media_tools.py convert-video input.mp4 -o output.mov

# With quality / resolution / fps options
python scripts/media_tools.py convert-video input.mp4 -o output.mp4 \
  --crf 18 --preset medium --resolution 1920x1080 --fps 30
Audio Format Conversion
bash
# Convert between formats (mp3, wav, flac, ogg, aac, m4a, opus, wma)
python scripts/media_tools.py convert-audio input.wav -o output.mp3
python scripts/media_tools.py convert-audio input.mp3 -o output.flac \
  --bitrate 320k --sample-rate 48000 --channels 2
Video Concatenation
bash
# Concatenate with crossfade transition (default 0.5s)
python scripts/media_tools.py concat-video seg1.mp4 seg2.mp4 seg3.mp4 -o merged.mp4

# Hard cut (no crossfade)
python scripts/media_tools.py concat-video seg1.mp4 seg2.mp4 -o merged.mp4 --crossfade 0
Audio Concatenation
bash
# Simple concatenation
python scripts/media_tools.py concat-audio part1.mp3 part2.mp3 -o combined.mp3

# With crossfade
python scripts/media_tools.py concat-audio part1.mp3 part2.mp3 -o combined.mp3 --crossfade 1
Extract Audio from Video
bash
# Extract as mp3
python scripts/media_tools.py extract-audio video.mp4 -o audio.mp3

# Extract as wav with higher bitrate
python scripts/media_tools.py extract-audio video.mp4 -o audio.wav --bitrate 320k
Video Trimming
bash
# Trim by start/end time (seconds)
python scripts/media_tools.py trim-video input.mp4 -o clip.mp4 --start 5 --end 15

# Trim by start + duration
python scripts/media_tools.py trim-video input.mp4 -o clip.mp4 --start 10 --duration 8
Add Audio to Video (Overlay / Replace)
bash
# Mix audio with existing video audio
python scripts/media_tools.py add-audio --video video.mp4 --audio bgm.mp3 -o output.mp4 \
  --volume 0.3 --fade-in 2 --fade-out 3

# Replace original audio entirely
python scripts/media_tools.py add-audio --video video.mp4 --audio narration.mp3 -o output.mp4 \
  --replace
Media File Info
bash
python scripts/media_tools.py probe input.mp4

Script Architecture

scripts/
├── check_environment.py          # Env verification
├── env_loader.py                # .env file loader (auto-loaded by all scripts)
├── media_tools.py               # Audio/video conversion, concat, trim, extract
├── tts/
│   ├── generate_voice.py         # CLI entry point
│   ├── sync_tts.py               # Synchronous TTS API
│   ├── async_tts.py              # Async (task-based) TTS API
│   ├── segment_tts.py            # Multi-segment pipeline
│   ├── audio_processing.py       # FFmpeg audio processing
│   ├── voice_clone.py            # Voice cloning API
│   ├── voice_design.py           # Voice design API
│   ├── voice_management.py       # Voice CRUD operations
│   └── utils.py                  # Shared: API config, VoiceSetting, AudioSetting
├── music/
│   ├── generate_music.py         # Music generation CLI
│   └── utils_audio.py            # Audio format utilities
└── video/
    ├── generate_video.py         # Video generation CLI (4 modes)
    ├── generate_long_video.py    # Multi-scene long video
    ├── generate_template_video.py # Template-based video
    └── add_bgm.py               # Background music overlay

References

Read these for detailed API parameters, voice catalogs, and prompt engineering:

  • tts-guide.md — TTS setup, voice management, audio processing, segment format, troubleshooting
  • tts-voice-catalog.md — Full voice catalog with IDs, descriptions, and parameter reference
  • music-api.md — Music generation API: endpoints, parameters, response format
  • video-api.md — Video API: endpoints, models, parameters, camera instructions, templates
  • video-prompt-guide.md — Video prompt engineering: formulas, styles, image-to-video tips

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 26 other files (scripts, references) in skills/minimaxstudio of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json
  • references/music-api.md
  • references/tts-guide.md
  • references/tts-voice-catalog.md
  • references/video-api.md
  • references/video-prompt-guide.md
  • requirements.txt
  • scripts/check_environment.py
  • scripts/env_loader.py
  • scripts/media_tools.py
  • scripts/music/generate_music.py
  • scripts/music/utils_audio.py
  • scripts/tts/async_tts.py
  • scripts/tts/audio_processing.py
  • scripts/tts/generate_voice.py
  • scripts/tts/segment_tts.py
  • … and 10 more

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Minimax Studio 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.

Minimax Studio compared with similar skills
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Minimax Studio this skillLeoYeAI/openclaw-master-skills2.2k—~5.9kAutomated safety check: NotesMIT
Mmx CLIagentscope-ai/OpenJudge871—~655Automated safety check: PassApache-2.0
Minimax Multimodal Toolkitpoco-ai/poco-claw1.4k—~7.6kAutomated safety check: PassMIT
Cosyvoice SsmlJamailar/Beav1.8k—~4.9kAutomated safety check: PassCustom licence
Narrator AI CLINarratorAI-Studio/narrator-ai-cli-skill3k—~4.5kAutomated safety check: PassMIT
Minimax H3 Video Reversegnipbao/minimax-h3-video-reverse-skill230—~2.2kAutomated safety check: PassMIT

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Works with

Categories

Questions about Minimax Studio

What does Minimax Studio do?

Create voice, music, and video with MiniMax AI models. An agent skill from LeoYeAI/openclaw-master-skills. Minimax Studio is an agent skill from LeoYeAI/openclaw-master-skills. Create voice, music, and video with MiniMax AI models.

When should I use Minimax Studio?

Minimax Studio fits situations like: user wants to generate speech audio; instrumental tracks; produce AI videos; convert media formats.

How do I install Minimax Studio in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill minimax-studio -a claude-code`. Or copy the skill folder (skills/minimaxstudio in LeoYeAI/openclaw-master-skills) into .claude/skills/minimax-studio in your project. Claude Code loads it when a task matches its description.

How do I install Minimax Studio in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill minimax-studio -a codex`. Or copy the skill folder (skills/minimaxstudio in LeoYeAI/openclaw-master-skills) into .agents/skills/minimax-studio in your project. Codex loads it when a task matches its description.

Can I use Minimax Studio 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 LeoYeAI/openclaw-master-skills --skill minimax-studio -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/minimax-studio, .gemini/skills/minimax-studio, .github/skills/minimax-studio and .opencode/skills/minimax-studio in your project.

What does Minimax Studio need to run?

Going by SKILL.md and its folder, Minimax Studio needs Python for the scripts in its folder, the command-line tools its instructions call (python, pip and brew) and credentials named MINIMAX_API_KEY. Our summary lists: Python 3; A credential in MINIMAX_API_KEY.

Does Minimax Studio access the network?

SKILL.md names 1 domain. As links in the text: platform.minimaxi.com. This is read from the text; nothing was executed.

Is Minimax Studio safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. 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 Minimax Studio use?

Minimax Studio 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 Minimax Studio use?

About 5.9k tokens (SKILL.md is roughly 24k 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 12k tokens, read only when the agent opens those files.

What are the alternatives to Minimax Studio?

Skills that share tags, products or a category with Minimax Studio: Mmx CLI (agentscope-ai/OpenJudge, 871 stars), Minimax Multimodal Toolkit (poco-ai/poco-claw, 1.4k stars), Cosyvoice Ssml (Jamailar/Beav, 1.8k stars) and Narrator AI CLI (NarratorAI-Studio/narrator-ai-cli-skill, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Minimax Studio?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.