How do I install the Mlscp skill?

Run npx skillmds@latest add kbarbel640-del/mlscp in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Mlscp safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Mlscp?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Mlscp free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

kbarbel640-del (@kbarbel640-del) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Mlscp by kbarbel640-del — Agent Skill

Name: Mlscp
Rating: 4.666666666666667 (3 reviews)
Author: kbarbel640-del

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.

kbarbel640-del Updated Sep 8, 2026 1 repo stars

File contents

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

---name: mlscpdescription: 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 SkillMLSCP (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```bash./scripts/mlscp.sh parse "F+ s/co > ln47 + 'retry logic'"```### Validate Syntax```bash./scripts/mlscp.sh validate "F+ s/co > ln47 + 'retry logic'"```### Generate Vocabulary```bash./scripts/mlscp.sh vocab /path/to/project```### Compress Natural Language```bash./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 AgentsWhen receiving commands from MLSCP-enabled agents:```bash./scripts/mlscp.sh parse "$INCOMING_COMMAND"```### Sending CommandsGenerate compact commands for other agents:```bash./scripts/mlscp.sh compress "Your natural language instruction"```## API (Python)```pythonfrom mlscp import parse, MLSCPParser# Quick parsecmd = parse("F+ s/co > ln47 + 'retry logic'")print(cmd.operation) # OperationType.FILE_ADDprint(cmd.target) # "s/co"# With vocabularyparser = 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`

Frequently asked questions