AI Frameworks · SamurAIGPT

Generative-Media-Skills

A collection of 41 CLI-driven workflow recipes and agent skills for AI-powered image, video, and audio generation. Designed as composable tools for Claude Code, Cursor, Gemini CLI, and MCP-compatible agents, delegating to the muapi-cli backend and third-party model providers (Midjourney, Flux, Kling, Suno, etc.).

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Source: GitHub — github.com/SamurAIGPT/Generative-Media-Skills

3.7k

GitHub stars

418

Forks

Shell

Primary language

MIT

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	SamurAIGPT/Generative-Media-Skills
Owner	SamurAIGPT
Primary language	Shell
License	MIT — OSI-approved
Stars	3.7k
Forks	418
Open issues	4
Latest release	Unknown
Last updated	2026-06-22
Source	https://github.com/SamurAIGPT/Generative-Media-Skills

What Generative-Media-Skills is

Shell-based skill repository wrapping muapi-cli for multimodal generation. Organizes domain-specific workflows (cinema direction, UI design, logo creation, video editing) as schema-driven recipes with structured JSON I/O and semantic exit codes. Exposes 19 tools via MCP server; no embedded models—all calls route through muapi.ai backend.

Quickstart

Get the Generative-Media-Skills source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/SamurAIGPT/Generative-Media-Skills.git2cd Generative-Media-Skills3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

AI Agent Workflow Orchestration

Integration into Claude Code, Cursor, or custom MCP agents to autonomously generate branded creative assets, product ads, and social media content—each skill encapsulates domain logic (cinematography, atomic design) so agents follow structured guidance.

High-Volume Content Production

Rapid asset generation for campaigns—from hero images to platform-specific crops, UGC videos, and short-form social clips. Recipes handle multi-step pipelines (e.g., photo → 3D action figure, product photo → cinematic ad) in one managed call.

API Integration for SaaS / No-Code Platforms

Embed muapi-cli skills into existing workflows (e.g., Zapier, Make, custom backends) to add generative media without reimplementing domain expertise. MCP server enables direct integration into Claude Desktop and Cursor for rapid prototyping.

Implementation considerations

Requires muapi-cli binary and valid API credentials (muapi.ai account). Setup involves shell environment, `npm install -g muapi-cli`, and authentication—plan for dependency management in CI/CD.
Skills are recipe templates (Markdown + shell), not pre-built binaries. Teams must translate recipes into agent calls; Claude Code / Cursor handle orchestration, but custom agents require MCP server or direct shell invocation.
Each recipe delegates to specific third-party models (Midjourney v7, Kling 3.0, Seedance 2.0, etc.); verify model availability and pricing on muapi.ai before designing production workflows.
Local file support (image upload, face detection, audio input) requires muapi-cli to manage CDN staging. Sensitive data (faces, proprietary images) transits muapi.ai infrastructure; implement data classification and audit trails.
MCP server exposes 19 tools; integration into Claude Desktop requires `stdio` transport configuration and session management. Cursor integration relies on Cursor's native MCP client—compatibility and rate limits unknown.

When to avoid it — and what to weigh

Offline or Air-Gapped Environments — All generation delegates to muapi.ai backend and third-party model APIs. No offline inference; requires live internet and API authentication.
Strict Compliance or IP Sensitivity — User-generated content (faces, product images) is uploaded to muapi.ai CDN for processing. If compliance requires on-prem inference or strict data residency, this is not suitable.
Cost-Sensitive or High-Volume Production — Recipes rely on third-party model providers (Midjourney, Kling, Suno). Per-request costs accumulate; no volume discounts or on-prem inference to reduce marginal cost stated in docs.
Real-Time Latency Requirements — Generative model calls are inherently async and polled; typical latencies for video generation range from seconds to minutes. Not suitable for sub-second response requirements.

License & commercial use

Licensed under MIT (MIT License). Permissive OSI license allowing commercial use, modification, and distribution with attribution. No royalty, patent, or commercial use restrictions stated in license terms.

MIT license permits commercial use without restriction. However, commercial deployment depends on third-party model provider terms (Midjourney, Kling, Suno, etc.) and muapi.ai API terms of service. Review those separately; this license alone does not ensure you can commercialize generated outputs or resell services.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Strong
License clarity	Clear
Deployment complexity	Moderate
DEV.co fit	Good
Assessment confidence	High

Security considerations

Data flow: local assets → muapi.ai CDN → third-party model APIs → muapi.ai → local storage. Sensitive data (faces, product images, audio) is uploaded to external CDN; audit muapi.ai privacy policy and data residency terms. API credentials must be managed securely; no mention of secret rotation or audit logging. Third-party model providers' data handling and retention policies also apply. No explicit threat model or vulnerability disclosure process stated.

Alternatives to consider

Open-Generative-AI (by Anil-matcha)

Self-hosted GUI alternative using the same muapi model set. Better for teams preferring UI over CLI, or requiring on-prem inference. Lacks agent-native design and MCP integration.

Replicate / Hugging Face Inference API

Lower-level generative AI platforms with per-model billing and broader model selection. Require more engineering to build domain-specific workflows; suitable for teams with custom orchestration and cost sensitivity.

Zapier / Make (No-Code Integrations)

Existing no-code platforms with AI add-ons (e.g., OpenAI, Stability AI). Simpler for non-technical users; less flexible than agent-driven skills but lower maintenance and no CLI dependency.

Software development agency

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Embed production-ready skills into Claude Code, Cursor, or your MCP agent. Review muapi.ai pricing and model provider terms, then pilot with a small workflow.

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Related open-source tools

Surfaced by semantic similarity across the DEV.co open-source index.

Open-Generative-AI generative-ai generative_ai_project

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Generative-Media-Skills FAQ

Do I need muapi.ai account to use these skills?

Yes. All skills delegate to muapi-cli, which requires muapi.ai authentication and API credits. muapi.ai acts as the backend and gateway to third-party model providers (Midjourney, Kling, Suno, etc.).

Can I run these skills offline?

No. Skills require live internet and muapi.ai API access. No embedded or local inference; all generation is cloud-based.

How do I integrate these into my agent (Claude Code, Cursor)?

For Claude Code and Cursor: use the MCP server (`muapi mcp serve`) to expose 19 tools directly. For custom agents: invoke shell skills or muapi-cli directly and parse JSON output. Each recipe is a template; your agent orchestrates the workflow.

What are the pricing and SLA terms?

Unknown from this repository. Pricing depends on muapi.ai subscription and per-request costs from underlying model providers. Check muapi.ai and each provider's (Midjourney, Kling, Suno) terms for SLA, rate limits, and billing details.

Software development & web development with DEV.co

Need help beyond evaluating Generative-Media-Skills? DEV.co is a software development agency offering software development services and web development for teams of every size. Our software developers and web developers build custom software, web applications, APIs, and ai frameworks integrations — and maintain them long-term.

Integrate Agent-Powered Generative Media

Embed production-ready skills into Claude Code, Cursor, or your MCP agent. Review muapi.ai pricing and model provider terms, then pilot with a small workflow.

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