Install the "muapi-workflow" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/SamurAIGPT/Generative-Media-Skills/library/workflow into .claude/skills/muapi-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "muapi-workflow", 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.
Type 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.
skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill muapi-workflow -a codex
Project install goes to .agents/skills/; add -g for ~/.codex/skills/.
Install the "muapi-workflow" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/SamurAIGPT/Generative-Media-Skills/library/workflow into .agents/skills/muapi-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "muapi-workflow", 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.
skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill muapi-workflow -a cursor
Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.
Install the "muapi-workflow" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/SamurAIGPT/Generative-Media-Skills/library/workflow into .cursor/skills/muapi-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "muapi-workflow", 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.
--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill muapi-workflow -a gemini-cli
Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.
Install the "muapi-workflow" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/SamurAIGPT/Generative-Media-Skills/library/workflow into .gemini/skills/muapi-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "muapi-workflow", 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.
Installs 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).
skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill muapi-workflow -a github-copilot
Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.
Install the "muapi-workflow" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/SamurAIGPT/Generative-Media-Skills/library/workflow into .github/skills/muapi-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "muapi-workflow", 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.
skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill muapi-workflow -a opencode
OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
Install the "muapi-workflow" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/SamurAIGPT/Generative-Media-Skills/library/workflow into .opencode/skills/muapi-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "muapi-workflow", 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
muapi-workflow
GitHub stars
1.3k
Token cost
~1.6k tokens
SKILL.md length
565 words
Files
6 (incl. scripts)
Skills in repo
714
Repo updated
First seen
Licence
Apache-2.0
At a glance
Build, run, and visualize multi-step AI generation workflows.
Works in 5 steps: Describe your pipeline → Inspect and visualize → Run it → …
Tasks that involve Image generation
SKILL.md covers Prerequisites, Core Operations, Agent Guided Discovery &… and Protocol: Building a Workflow, plus 5 more sections
Runs Shell scripts from its folder; calls pip
What it does
Muapi Workflow is an agent skill from hashgraph-online/awesome-codex-plugins. 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.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `scripts/discover-workflow.sh`, `scripts/generate-workflow.sh` and `scripts/interactive-run.sh`).
It sits in Media & Creative, covering Image generation. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.
When your agent uses it
Tasks that involve Image generation
Example prompts
“/muapi-workflow”
Requirements
Python 3
A Bash shell
Workflow steps
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 9e7b281. 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 5 files in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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
Muapi Workflow loads about 1.6k tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 565 words of instructions outside code blocks.
Always· name and description, kept in context so the agent knows when to use it
~64
When it runs· the whole SKILL.md, loaded when a task matches
~1.6k
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); the scripts in this folder are not scanned.
Download SKILL.mdSave it as .claude/skills/muapi-workflow/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
muapi-workflow
description
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.
version
0.1.0
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
Generate (generate-workflow.sh) — AI architect creates a workflow from a description
Discover (discover-workflow.sh) — Find a relevant existing workflow by natural language
Edit (generate-workflow.sh --workflow-id) — Modify an existing workflow with a prompt
Interactive Run (interactive-run.sh) — Prompt for inputs and execute a workflow
Run (run-workflow.sh) — Execute a workflow, poll node-by-node, collect outputs
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 purpose of available workflows to select the best one for the user's task (e.g., "create a UGC video").
Discover: Fetch the catalog of available workflows and their descriptions in JSON format.bash
muapi workflow discover --output-json
Match (Internal Reasoning): Use your LLM capabilities to analyze the name, category, and description fields of the returned workflows. Find the best match for the user's intent.
Analyze: If you find a promising candidate, inspect its structure to ensure it has the necessary nodes and parameters.bash
muapi workflow get <workflow_id>
CRITICAL RULE: The output of muapi workflow get will include an "API Inputs" table. You MUST read this table to understand what inputs are required.
Choose & Confirm & Prompt User:
If one workflow is a perfect match, you MUST ask the user to provide the exact values for the required API inputs before executing it. Never invent or guess input values (like prompts, URLs, etc.) on your own.
If multiple workflows are highly relevant, present the options to the user with their descriptions and ask them to confirm which one to use, and also ask for the required inputs.
If no workflow matches the user's complex request, offer to architect a new one using muapi workflow create.
Show full SKILL.md (221 more words)Show less
Example Agent Reasoning
"The user wants a product promo video. I fetched the catalog using discover. I see two potential workflows:
wf_123: 'Product promo with background music'
wf_456: 'Simple video gen'
I will analyze wf_123 with get. It has the required nodes. I will suggest wf_123 or just run it if the match is precise."
Protocol: Building a Workflow
Step 1 — Describe your pipeline
bash
muapi workflow create "take a text prompt, generate an image with flux-dev, then upscale it to 4K"
The architect returns a workflow with a unique ID and a node graph. Save the ID.
Step 2 — Inspect and visualize
bash
# Rich ASCII node graph in the terminal
muapi workflow get <workflow_id>
# Or raw JSON
muapi workflow get <workflow_id> --output-json
Step 3 — Run it
bash
# Run with specific inputs
muapi workflow execute <workflow_id> \
--input "node1.prompt=a glowing crystal cave at midnight"
# Use --download to pull results locally
muapi workflow execute <workflow_id> \
--input "node1.prompt=a sunset" \
--download ./outputs
Step 4 — Discovery (Optional)
If you want to reuse an existing workflow instead of creating a new one:
bash
# Search by keywords
muapi workflow discover "ugc video"
Step 5 — Interactive Execution
Run a workflow and have the CLI prompt you for each required input:
bash
muapi workflow run-interactive <workflow_id>
Workflow Examples
Image Pipelines
bash
# Text → Image → Upscale
muapi workflow create "take a text prompt, generate with flux-dev, upscale the result"
# Text → Image → Background removal → Product shot
muapi workflow create "generate a product image with hidream, remove background, create professional product shot"
Video Pipelines
bash
# Text → Video
muapi workflow create "generate a 10-second cinematic video from a text prompt using kling-master"
# Image → Video → Lipsync
muapi workflow create "animate an input image with seedance, then apply lipsync from an audio file"
Editing an Existing Workflow
bash
# Add a step
muapi workflow edit <id> --prompt "add a face-swap step after the image generation"
# Swap a model
muapi workflow edit <id> --prompt "change the video model from kling to veo3"
CLI Reference
bash
# List all your workflows
muapi workflow list
# Browse templates
muapi workflow templates
# Generate new workflow
muapi workflow create "text → flux image → upscale → face swap"
# Visualize a workflow
muapi workflow get <id>
# Execute with inputs
muapi workflow execute <id> --input "node1.prompt=a sunset"
# Monitor a run
muapi workflow status <run_id>
# Get outputs
muapi workflow outputs <run_id> --download ./results
# Edit with AI
muapi workflow edit <id> --prompt "add lipsync at the end"
# Rename / delete
muapi workflow rename <id> --name "Product Pipeline v2"
muapi workflow delete <id>
MCP Tools (for AI agents)
Tool
Description
muapi_workflow_list
List user's workflows
muapi_workflow_create
AI architect: prompt → workflow
muapi_workflow_get
Get workflow definition + node graph
muapi_workflow_execute
Run with specific inputs
muapi_workflow_status
Node-by-node run status
muapi_workflow_outputs
Final output URLs
Constraints
Workflows can contain any combination of muapi.ai nodes (image, video, audio, enhance, edit)
Node outputs are automatically wired as inputs to downstream nodes
--sync mode waits up to 120s for generation; use --async for complex workflows and poll separately
Run timeouts: 10 minutes maximum per workflow execution
Muapi Workflow 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.
Muapi Workflow compared with similar skills
Skill
Stars
Used in
Tokens
Auto-check
Licence
Repo updated
Muapi Workflow this skillhashgraph-online/awesome-codex-plugins
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Build, run, and visualize multi-step AI generation workflows. Muapi Workflow is an agent skill from hashgraph-online/awesome-codex-plugins. Build, run, and visualize multi-step AI generation workflows.
When should I use Muapi Workflow?
Muapi Workflow fits situations like: tasks that involve Image generation.
How do I install Muapi Workflow in Claude Code?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill muapi-workflow -a claude-code`. Or copy the skill folder (plugins/SamurAIGPT/Generative-Media-Skills/library/workflow in hashgraph-online/awesome-codex-plugins) into .claude/skills/muapi-workflow in your project. Claude Code loads it when a task matches its description.
How do I install Muapi Workflow in Codex?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill muapi-workflow -a codex`. Or copy the skill folder (plugins/SamurAIGPT/Generative-Media-Skills/library/workflow in hashgraph-online/awesome-codex-plugins) into .agents/skills/muapi-workflow in your project. Codex loads it when a task matches its description.
Can I use Muapi Workflow 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 hashgraph-online/awesome-codex-plugins --skill muapi-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/muapi-workflow, .gemini/skills/muapi-workflow, .github/skills/muapi-workflow and .opencode/skills/muapi-workflow in your project.
What does Muapi Workflow need to run?
Going by SKILL.md and its folder, Muapi Workflow needs a shell for the scripts in its folder and the command-line tools its instructions call (pip). Our summary lists: Python 3; A Bash shell.
Does Muapi Workflow access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Muapi Workflow 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Muapi Workflow use?
Muapi Workflow is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Muapi Workflow use?
About 1.6k tokens (SKILL.md is roughly 6.6k 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 Muapi Workflow?
Skills that share tags, products or a category with Muapi Workflow: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Structured Image Generation (bytedance/deer-flow, 84k stars), Canghe Comic (freestylefly/canghe-skills, 461 stars) and Generate Image (ynulihao/AgentSkillOS, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Muapi Workflow?
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,255 GitHub stars. The repository holds 714 skills in this directory. The repository was last updated on October 9, 2026.
