Awesome-omni-skill praxis

Interact with the Praxis C2 framework for orchestrating AI coding agents. Use when the user wants to manage nodes, agents, sessions, run operations or chains, or search intercepted traffic on the Praxis network.

install

source · Clone the upstream repo

git clone https://github.com/diegosouzapw/awesome-omni-skill

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/development/praxis" ~/.claude/skills/diegosouzapw-awesome-omni-skill-praxis && rm -rf "$T"

manifest: skills/development/praxis/SKILL.md

source content

Praxis is a Command & Control (C2) framework for orchestrating AI coding agents. It provides a unified interface to manage, monitor, and interact with AI agents (like Claude Code, Cursor, Windsurf, etc.) running on remote machines.

First Step

Before using any commands, discover the full capabilities by running:

praxis_cli --fullhelp

This outputs comprehensive documentation for all commands and subcommands.

Key Concepts

Node: A machine running the Praxis node agent
Agent: An AI coding agent (e.g., Claude Code) discovered on a node
Session: An active connection to an agent for sending prompts
Operation: A pre-configured prompt/workflow for common tasks
Chain: A sequence of operations executed as a workflow

Requirements

The Praxis service must be running and accessible via RabbitMQ. The default connection is

amqp://praxis:praxis@localhost:5672

To specify a different RabbitMQ URL:

praxis_cli --rabbitmq amqp://user:pass@host:5672 node list

Or set the environment variable:

export PRAXIS_RABBITMQ_URL=amqp://user:pass@host:5672

Output Formats

Use

--output json

for machine-readable output suitable for scripting and parsing.