muapi-workflow
Build, run, and visualize multi-step AI generation workflows. The AI architect translates natural language descriptions into connected node graphs — chain image generation, video creation, enhancement, and editing into automated pipelines.
npx skills add SamurAIGPT/Generative-Media-Skills --skill workflow --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AI Workflow Builder Chain any combination of muapi.ai generation steps into automated pipelines. The AI architect converts your plain-language description into a runnable node graph. ## Prerequisites Always ensure the `muapi` CLI is up-to-date before running any commands. Reinstall from source at the start of every session: ```bash pip install --upgrade /path/to/muapi-cli ``` Replace `/path/to/muapi-cli` with the actual path to the `muapi-cli` directory in the workspace (the directory containing `pyproject.toml`). ## Core Operations 1. **Generate** (`generate-workflow.sh`) — AI architect creates a workflow from a description 2. **Discover** (`discover-workflow.sh`) — Find a relevant existing workflow by natural language 3. **Edit** (`generate-workflow.sh --workflow-id`) — Modify an existing workflow with a prompt 4. **Interactive Run** (`interactive-run.sh`) — Prompt for inputs and execute a workflow 5. **Run** (`run-workflow.sh`) — Execute a workflow, poll node-by-node, collect outputs 6. **CLI** (`muapi workflow`) — Full CRUD + visualization directly from the terminal --- ## Agent Guided Discovery & Selection As an AI agent, you have the ability to read and understand the purpo
- Prerequisites
- Core Operations
- Agent Guided Discovery & Selection
- Example Agent Reasoning
- Protocol: Building a Workflow
- Step 1 — Describe your pipeline
- Step 2 — Inspect and visualize
- Step 3 — Run it
- Step 4 — Discovery (Optional)
- Step 5 — Interactive Execution
- Workflow Examples
- Image Pipelines
- Video Pipelines
- Editing an Existing Workflow
pip install --upgrade /path/to/muapi-cli muapi workflow discover --output-json muapi workflow get <workflow_id> muapi workflow create "take a text prompt, generate an image with flux-dev, then upscale it to 4K" Rich ASCII node graph in the terminal Or raw JSON muapi workflow get <workflow_id> --output-json Run with specific inputs muapi workflow execute <workflow_id> \ Use --download to pull results locally
What does the muapi-workflow skill do?
Build, run, and visualize multi-step AI generation workflows. The AI architect translates natural language descriptions into connected node graphs — chain image generation, video creation, enhancement, and editing into automated pipelines.
How do I install it?
Run `npx skills add SamurAIGPT/Generative-Media-Skills --skill workflow --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From SamurAIGPT/Generative-Media-Skills, a repository with 3,976 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.