Install

npx clawhub@latest install mlscp

Full SKILL.md

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name	description
mlscp	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.

MLSCP Skill

MLSCP (Micro LLM Swarm Communication Protocol) is a token-efficient command language for agent-to-agent communication. This skill lets you parse, validate, and generate MLSCP commands without any LLM overhead.

Why Use MLSCP?

Natural Language	MLSCP	Savings
"Please modify the file src/chain_orchestrator.py by adding retry logic at line 47"	`F+ s/co > ln47 + 'retry logic'`	~75%
"Read the contents of utils/file_manager.py from lines 10 to 50"	`F? u/fm > ln10-50`	~80%
"Delete the variable 'temp_cache' from config.py"	`V- c/c > 'temp_cache'`	~70%

Quick Start

Parse a Command

./scripts/mlscp.sh parse "F+ s/co > ln47 + 'retry logic'"

Validate Syntax

./scripts/mlscp.sh validate "F+ s/co > ln47 + 'retry logic'"

Generate Vocabulary

./scripts/mlscp.sh vocab /path/to/project

Compress Natural Language

./scripts/mlscp.sh compress "Add error handling to the main function in app.py"

Command Reference

Operations

Code	Meaning	Example
`F+`	File add/insert	`F+ s/app > ln10 + 'new code'`
`F~`	File modify	`F~ s/app > ln10-20 ~ 'updated code'`
`F-`	File delete	`F- s/app > ln10-15`
`F?`	File query/read	`F? s/app > ln1-100`
`V+`	Variable add	`V+ s/app + 'new_var = 42'`
`V~`	Variable modify	`V~ s/app > 'old_var' ~ 'new_value'`
`V-`	Variable delete	`V- s/app > 'temp_var'`
`V?`	Variable query	`V? s/app > 'config_*'`

Location Specifiers

ln47 - Single line
ln10-50 - Line range
fn:main - Function name
cls:MyClass - Class name

Context Blocks

CTX{"intent":"resilience","priority":"high","confidence":0.9}

Scripts

mlscp.sh - Main CLI tool
vocab.py - Vocabulary generator (Python)

Integration

With Other Agents

When receiving commands from MLSCP-enabled agents:

./scripts/mlscp.sh parse "$INCOMING_COMMAND"

Sending Commands

Generate compact commands for other agents:

./scripts/mlscp.sh compress "Your natural language instruction"

API (Python)

from mlscp import parse, MLSCPParser

# Quick parse
cmd = parse("F+ s/co > ln47 + 'retry logic'")
print(cmd.operation)  # OperationType.FILE_ADD
print(cmd.target)     # "s/co"

# With vocabulary
parser = MLSCPParser(vocab_lookup)
cmd = parser.parse("F+ s/co > ln47 + 'code'")
full_path = vocab_lookup.get("s/co")  # "src/chain_orchestrator.py"

Resources

GitHub: https://github.com/sirkrouph-dev/mlcp
Grammar Spec: See references/grammar.abnf
Protocol Definition: See references/protocol.md

Original URL: https://github.com/openclaw/skills/blob/main/skills/sirkrouph-dev/mlscp

Mlscp OpenClaw Skill - ClawHub

What this skill does