Media Production
leon-ai/leon
Generates images, audio and video through Leon's media tools, joins them with FFmpeg, checks the output and attaches playable files for the owner.
Routes image, video, voice, music and media-processing requests to the smallest suitable MiniMax or local path, with FFmpeg-style processing around generated media.
Install MiniMax Multimodal Toolkit
$ npx skills add madebyaris/advance-minimax-m3-cursor-rules --skill minimax-multimodal-toolkit -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install madebyaris/advance-minimax-m3-cursor-rules minimax-multimodal-toolkit --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/madebyaris/advance-minimax-m3-cursor-rules.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.cursor/skills/minimax-multimodal-toolkit .claude/skills/minimax-multimodal-toolkit && 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 "minimax-multimodal-toolkit" agent skill from https://github.com/madebyaris/advance-minimax-m3-cursor-rules/tree/main/.cursor/skills/minimax-multimodal-toolkit into .claude/skills/minimax-multimodal-toolkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "minimax-multimodal-toolkit", 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/madebyaris/advance-minimax-m3-cursor-rules/tree/main/.cursor/skills/minimax-multimodal-toolkitType 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 madebyaris/advance-minimax-m3-cursor-rules --skill minimax-multimodal-toolkit -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install madebyaris/advance-minimax-m3-cursor-rules minimax-multimodal-toolkit --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/madebyaris/advance-minimax-m3-cursor-rules.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.cursor/skills/minimax-multimodal-toolkit .agents/skills/minimax-multimodal-toolkit && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "minimax-multimodal-toolkit" agent skill from https://github.com/madebyaris/advance-minimax-m3-cursor-rules/tree/main/.cursor/skills/minimax-multimodal-toolkit into .agents/skills/minimax-multimodal-toolkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "minimax-multimodal-toolkit", 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 madebyaris/advance-minimax-m3-cursor-rules --skill minimax-multimodal-toolkit -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install madebyaris/advance-minimax-m3-cursor-rules minimax-multimodal-toolkit --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/madebyaris/advance-minimax-m3-cursor-rules.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.cursor/skills/minimax-multimodal-toolkit .cursor/skills/minimax-multimodal-toolkit && 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 "minimax-multimodal-toolkit" agent skill from https://github.com/madebyaris/advance-minimax-m3-cursor-rules/tree/main/.cursor/skills/minimax-multimodal-toolkit into .cursor/skills/minimax-multimodal-toolkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "minimax-multimodal-toolkit", 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/madebyaris/advance-minimax-m3-cursor-rules.git --path .cursor/skills/minimax-multimodal-toolkit--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 madebyaris/advance-minimax-m3-cursor-rules --skill minimax-multimodal-toolkit -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install madebyaris/advance-minimax-m3-cursor-rules minimax-multimodal-toolkit --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/madebyaris/advance-minimax-m3-cursor-rules.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.cursor/skills/minimax-multimodal-toolkit .gemini/skills/minimax-multimodal-toolkit && 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 "minimax-multimodal-toolkit" agent skill from https://github.com/madebyaris/advance-minimax-m3-cursor-rules/tree/main/.cursor/skills/minimax-multimodal-toolkit into .gemini/skills/minimax-multimodal-toolkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "minimax-multimodal-toolkit", 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 madebyaris/advance-minimax-m3-cursor-rules minimax-multimodal-toolkitInstalls 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 madebyaris/advance-minimax-m3-cursor-rules --skill minimax-multimodal-toolkit -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/madebyaris/advance-minimax-m3-cursor-rules.git skills-src && mkdir -p .github/skills && cp -r skills-src/.cursor/skills/minimax-multimodal-toolkit .github/skills/minimax-multimodal-toolkit && 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 "minimax-multimodal-toolkit" agent skill from https://github.com/madebyaris/advance-minimax-m3-cursor-rules/tree/main/.cursor/skills/minimax-multimodal-toolkit into .github/skills/minimax-multimodal-toolkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "minimax-multimodal-toolkit", 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 madebyaris/advance-minimax-m3-cursor-rules --skill minimax-multimodal-toolkit -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install madebyaris/advance-minimax-m3-cursor-rules minimax-multimodal-toolkit --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/madebyaris/advance-minimax-m3-cursor-rules.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.cursor/skills/minimax-multimodal-toolkit .opencode/skills/minimax-multimodal-toolkit && 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 "minimax-multimodal-toolkit" agent skill from https://github.com/madebyaris/advance-minimax-m3-cursor-rules/tree/main/.cursor/skills/minimax-multimodal-toolkit into .opencode/skills/minimax-multimodal-toolkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "minimax-multimodal-toolkit", 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
minimax-multimodal-toolkit- GitHub stars
- 126
- Token cost
- ~1.6k tokens
- SKILL.md length
- 684 words
- Files
- 2
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- MIT
At a glance
Routes image, video, voice, music and media-processing requests to the smallest suitable MiniMax or local path, with FFmpeg-style processing around generated media.
- Works in 3 steps: Determine the Real Goal → Route to the Right Path → Inspect Before Generating
- Generating an image, clip, narration or music asset with MiniMax
- SKILL.md covers When to Use, Step 0: Determine the Real Goal, Step 1: Route to the Right Path and Step 2: Inspect Before…, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
This skill sends media tasks down the smallest path that can honestly produce the requested artifact, which keeps the always-on prompt light. Step 0 classifies the request as direct asset generation, product integration code, pipeline work on existing files, or capability research, and warns against jumping into API integration when direct generation is enough. A routing table maps one-off images to the runtime's own image tool, video, TTS, voice and music to current MiniMax docs and the repo's tools, edits to local tooling such as FFmpeg, and app features to a small tested integration slice.
Before generating, the agent inspects the repo for existing media patterns, asset folders, environment handling and helpers, and checks auth and output paths first. The skill also notes MiniMax M3's native multimodal input, where an attached image or video frame can be fed straight to the model for design parity or error UI triage, with a separate minimax-m3-multimodal-input skill covering that workflow. A reference.md file adds routing and output conventions.
When your agent uses it
- Generating an image, clip, narration or music asset with MiniMax
- Integrating MiniMax media APIs into an application
- Converting, trimming or joining generated media with FFmpeg
- Using an attached screenshot as ground truth through M3 multimodal input
Example prompts
- “Generate a narration for this product script with MiniMax text to speech and save it under assets/audio.”
- “Trim the generated clip and join it with the intro video using FFmpeg.”
- “Add an endpoint to our app that calls the MiniMax image API, with a focused test.”
Requirements
- MiniMax credentials for the media APIs
- FFmpeg for local media processing (optional)
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 4d6c552. 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
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
MiniMax Multimodal Toolkit loads about 1.6k tokens when it runs. Until then it costs about 118 tokens; SKILL.md has 684 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.
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from madebyaris/advance-minimax-m3-cursor-rules at commit 4d6c552, republished under its MIT licence (© madebyaris). 684 words, ~1,618 tokens.
Download SKILL.mdSave it as
.claude/skills/minimax-multimodal-toolkit/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- minimax-multimodal-toolkit
- description
- MiniMax-native multimodal workflow for image, video, voice, music, and media-processing tasks. Use when the user asks to generate image/video/audio assets, wants MiniMax-specific media APIs, needs TTS or voice workflows, wants reproducible local media outputs, or needs FFmpeg-style processing around generated media. M3's native multimodal input means image/video inputs can be fed directly to the model for grounded decisions in coding work.
- license
- MIT
- metadata.version
- 1.1.0
- metadata.category
- media-generation
- metadata.sources
- MiniMax platform media capabilities, Current runtime tool surface, FFmpeg documentation
MiniMax Multimodal Toolkit
Use MiniMax-native media workflows without bloating the always-on prompt. Route the task to the smallest path that can honestly produce the requested artifact.
When to Use
- The user asks for image, video, voice, speech, music, or multimodal asset generation
- The user explicitly mentions MiniMax media capabilities or wants MiniMax API integration
- The user wants reproducible local media outputs rather than only in-chat prose
- The task involves media conversion, trimming, concatenation, or extraction around generated assets
For deeper routing notes, output conventions, and implementation details, also read reference.md in this skill directory.
Step 0: Determine the Real Goal
Classify the task before acting:
- Direct asset generation: user wants an image, clip, narration, or music artifact
- Product integration: user wants app code that calls MiniMax media APIs
- Media pipeline work: user already has files and needs processing, conversion, or stitching
- Capability research: user wants comparison, planning, or API guidance before building
Do not jump into API integration when a direct generation path is enough.
Step 1: Route to the Right Path
| User need | Primary path | Notes |
|---|---|---|
| One-off image asset | Use the runtime's direct image-generation tool if available | Fastest path for explicit image requests |
| Video, TTS, voice, music, or MiniMax-specific generation | Use current MiniMax docs and the repo/runtime tool surface | Check auth and output path first |
| Existing media needs editing | Use local tooling such as FFmpeg when available | Avoid re-generation unless needed |
| App feature using MiniMax media APIs | Implement integration code and verify with a focused request or fixture | Prefer smallest vertical slice |
| Planning or research only | Gather current docs and synthesize | Do not implement prematurely |
| M3 input path: read an attached image / video frame as ground truth | Feed the file/frame into the model directly via the runtime's multimodal input — no separate "describe the image" step | Use for design parity, error UI triage, screenshot-driven dev. See the minimax-m3-multimodal-input skill for the full workflow. |
Step 2: Inspect Before Generating
Before any implementation or generation:
- Inspect the repo for existing media patterns, asset folders, env handling, and helper utilities
- Check the current runtime for direct generation tools before inventing scripts
- Check whether required MiniMax credentials or host configuration already exist
- Clarify only if the missing answer changes the route:
- output medium
- target format
- duration or size constraints
- whether the user wants direct generation or product integration
Show full SKILL.md (292 more words)Show less
M3 Native Multimodal Input
On M3, image and video inputs can be fed to the model directly. This collapses the older "read the file, write a text description, then reason about the description" loop into a single grounded step:
- The user attaches an image, screenshot, mock, or short clip; the runtime passes it to M3 as native input.
- Ground decisions in what the image actually shows. Quote visible text, cite regions, name the file path.
- For the full input-handling workflow (region citations, before/after diffing, multi-frame video, design parity), load the
minimax-m3-multimodal-inputskill.
This skill (minimax-multimodal-toolkit) remains the source of truth for generation paths — calling MiniMax media APIs, FFmpeg pipelines, and reproducible local outputs. The two skills are complementary: this one for output, minimax-m3-multimodal-input for input.
Core Rules
- Prefer the smallest path that produces the requested artifact honestly
- Use direct generation tools for explicit image requests when available
- Use MiniMax-specific API flows when the user asks for MiniMax integration, reproducibility, video, TTS, voice, or music
- Keep generated outputs in a predictable project-local folder rather than scattering temp files
- Never hardcode secrets; use environment variables and document the missing configuration
- Do not claim a generated asset exists until you have verified the file or response
- For integration work, verify one focused happy-path request before broadening the feature
Verification Expectations
Match proof to the task:
- Asset generation: verify the output file exists or the tool returned a concrete artifact
- API integration: verify one focused request, script, or runtime flow
- Media processing: verify the output file was created and matches the requested format or duration
- UI integration: verify at the user surface, not only by build success
If the artifact was designed but not generated, report it as changed and unverified, not complete.
Workflow
1. CLASSIFY -> direct asset, integration, processing, or research
2. ROUTE -> choose direct tool, MiniMax API path, or local media tooling
3. INSPECT -> repo patterns, runtime surface, env/auth, output constraints
4. EXECUTE -> make the smallest honest slice
5. VERIFY -> prove the artifact or integration at the relevant surfaceQuick Reference
IMAGE -> direct image tool first when available
VIDEO/TTS -> MiniMax-specific workflow or integration path
MUSIC -> MiniMax-specific workflow or integration path
PROCESSING -> local media tooling, usually FFmpeg
INTEGRATE -> smallest API slice + focused verification
ALWAYS -> inspect runtime first, use env vars for secrets, verify outputs
NEVER -> hardcode keys, promise files that were not produced, skip surface proof© madebyaris, 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 1 other file in .cursor/skills/minimax-multimodal-toolkit of madebyaris/advance-minimax-m3-cursor-rules.
- SKILL.md
- reference.md
Open the folder on GitHubat commit 4d6c552
Compare with similar skills
MiniMax Multimodal Toolkit 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 |
|---|---|---|---|---|---|---|
| MiniMax Multimodal Toolkit this skillmadebyaris/advance-minimax-m3-cursor-rules | 126 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Media Productionleon-ai/leon | 18k | — | ~999 | Automated safety check: Pass | MIT | |
| Qiaomu Cutjoeseesun/qiaomu-cut-skill | 372 | — | ~6.8k | Automated safety check: Notes | MIT | |
| Video Productionspeechlab0210/video-production-skill | 105 | — | ~4.1k | Automated safety check: Notes | MIT | |
| Whiteboard Videognipbao/codex-whiteboard-video-skill | 327 | — | ~7.2k | Automated safety check: Notes | MIT | |
| Content To Videoarchitectds/modeldock | 117 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about MiniMax Multimodal Toolkit
What does MiniMax Multimodal Toolkit do?
Routes image, video, voice, music and media-processing requests to the smallest suitable MiniMax or local path, with FFmpeg-style processing around generated media. This skill sends media tasks down the smallest path that can honestly produce the requested artifact, which keeps the always-on prompt light. Step 0 classifies the request as direct asset generation, product integration code, pipeline work on existing files, or capability research, and warns against jumping into API integration when direct generation is enough.
When should I use MiniMax Multimodal Toolkit?
MiniMax Multimodal Toolkit fits situations like: generating an image, clip, narration or music asset with MiniMax; integrating MiniMax media APIs into an application; converting, trimming or joining generated media with FFmpeg; using an attached screenshot as ground truth through M3 multimodal input.
How do I install MiniMax Multimodal Toolkit in Claude Code?
Run `npx skills add madebyaris/advance-minimax-m3-cursor-rules --skill minimax-multimodal-toolkit -a claude-code`. Or copy the skill folder (.cursor/skills/minimax-multimodal-toolkit in madebyaris/advance-minimax-m3-cursor-rules) into .claude/skills/minimax-multimodal-toolkit in your project. Claude Code loads it when a task matches its description.
How do I install MiniMax Multimodal Toolkit in Codex?
Run `npx skills add madebyaris/advance-minimax-m3-cursor-rules --skill minimax-multimodal-toolkit -a codex`. Or copy the skill folder (.cursor/skills/minimax-multimodal-toolkit in madebyaris/advance-minimax-m3-cursor-rules) into .agents/skills/minimax-multimodal-toolkit in your project. Codex loads it when a task matches its description.
Can I use MiniMax Multimodal Toolkit 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 madebyaris/advance-minimax-m3-cursor-rules --skill minimax-multimodal-toolkit -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-multimodal-toolkit, .gemini/skills/minimax-multimodal-toolkit, .github/skills/minimax-multimodal-toolkit and .opencode/skills/minimax-multimodal-toolkit in your project.
What does MiniMax Multimodal Toolkit need to run?
SKILL.md names no scripts, command-line tools or credentials: MiniMax Multimodal Toolkit is instructions for the agent only. Our summary lists: MiniMax credentials for the media APIs; FFmpeg for local media processing (optional).
Does MiniMax Multimodal Toolkit access the network?
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.
Is MiniMax Multimodal Toolkit 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. Review the folder before installing.
What licence does MiniMax Multimodal Toolkit use?
MiniMax Multimodal Toolkit is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does MiniMax Multimodal Toolkit use?
About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to MiniMax Multimodal Toolkit?
Skills that share tags, products or a category with MiniMax Multimodal Toolkit: Media Production (leon-ai/leon, 18k stars), Qiaomu Cut (joeseesun/qiaomu-cut-skill, 372 stars), Video Production (speechlab0210/video-production-skill, 105 stars) and Whiteboard Video (gnipbao/codex-whiteboard-video-skill, 327 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains MiniMax Multimodal Toolkit?
madebyaris (a GitHub user) maintains it in madebyaris/advance-minimax-m3-cursor-rules, which has 126 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on June 16, 2026.
Source: madebyaris/advance-minimax-m3-cursor-rules on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.