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vvm

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VVM (Vibe Virtual Machine) is a language for agentic programs where the LLM is the runtime. Activate when: running .vvm files, mentioning VVM, calling /vvm-boot, /vvm-run, /vvm-compile, /vvm-generate, or orchestrating multi-agent workflows. Read spec.md for the language specification and vvm.md for execution semantics.

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Marketplace

vvm

karanchawla/vvm

Plugin

vvm

Repository

karanchawla/vvm
67stars

skills/vvm/SKILL.md

Last Verified

February 1, 2026

Install Skill

Select agents to install to:

Scope:
npx add-skill https://github.com/karanchawla/vvm/blob/main/skills/vvm/SKILL.md -a claude-code --skill vvm

Installation paths:

Claude
.claude/skills/vvm/
Powered by add-skill CLI

Instructions

# VVM Skill

VVM (Vibe Virtual Machine) is a language for writing agentic programs where the LLM acts as the runtime.

---

## When to Activate

Activate this skill when:

1. User runs `/vvm-boot`, `/vvm-compile`, `/vvm-run`, or `/vvm-generate`
2. User opens or references a `.vvm` file
3. User asks about VVM syntax, semantics, or patterns
4. User wants to create an AI-powered workflow

---

## Documentation Files

| File              | Role                      | When to Read                    |
| ----------------- | ------------------------- | ------------------------------- |
| `SKILL.md`        | Quick reference, triggers | Always first                    |
| `vvm.md`          | Execution semantics       | When running programs           |
| `spec.md`         | Language specification    | For syntax/validation questions |
| `memory-spec.md`  | Agent memory (portable)   | When using persistent agents    |
| `patterns.md`     | Design patterns           | When writing programs           |
| `antipatterns.md` | Anti-patterns             | When reviewing programs         |

---

## Quick Reference

### Agent Definition

```vvm
agent researcher(
  model="sonnet",
  prompt="thorough, cite sources",
  skills=["web-search"],
  permissions=perm(network="allow", bash="deny"),
)
```

### Agent Call

```vvm
result = @researcher `Find papers on {topic}.`(topic)
result = @researcher `Summarize.`(topic, retry=3, timeout="30s")
```

### Agent Memory

```vvm
agent assistant(model="sonnet", prompt="Helpful.", memory={ scope: "project", key: "user:alice" })
reply = @assistant `Continue.`(request)  # default: memory_mode="continue"
dry = @assistant `Read-only run.`(request, memory_mode="dry_run")
fresh = @assistant `Stateless run.`(request, memory_mode="fresh")
```

### Semantic Predicate

```vvm
ready = ?`production ready`(code)

if ?`needs more work`(draft):
  draft = @writer `Improve.`(draft)
```

### Pattern Matching

```vvm
match result:
  case ?`high quality`:
    publish(res

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