Use Case
Mlscp isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Parse and generate MLSCP (Micro LLM Swarm Communication Protocol) commands. Use when communicating with other agents efficiently, parsing compressed commands, or generating token-efficient instructions. Reduces token usage by 70-80% compared to natural language. This guide covers how to deploy Mlscp for your team, standardize prompts, and create shared workflows that everyone can use.
Install Mlscp in your project directory: .claude/skills/mlscp/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Mlscp in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Mlscp
How can my team use Mlscp together?
Set up Mlscp for our project so everyone can use it
Create a shared workflow using Mlscp for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install mlscpOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install mlscpβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/mlscp/π‘Extract and place the folder at the path above, then restart your agent.