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OPUS 67

OPUS 67

gicm Opus67

|
3 installs
| (0) | Free
The AI Engine That Ships Code - 141 skills, 82 MCPs, 10 modes, 107 agents - Claude Code 2.0.65 Compatible
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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OPUS 67

OPUS 67

The AI Engine That Ships Code
141 Skills • 83 MCPs • 30 Modes • 107 Agents

VS Code Marketplace npm


Quick Install

npx create-opus67@latest

One command installs everything: skills, MCPs, hooks, agents, and memory system for Claude Code/Desktop.


Features

Unified Memory System

OPUS 67 features a unified memory architecture that coordinates multiple memory sources:

Source Purpose
GraphitiMemory Graph database for relational context
LearningStore Pattern evolution and learnings
MarkdownMemory .claude/memory/ files (wins, decisions, learnings)
HMLR Adapter Multi-hop reasoning (3-5 hop queries)
SessionStore Current session context

Context Indexing

Intelligent context enhancement that:

  • Pulls relevant memories from ALL sources
  • Injects context automatically into prompts
  • Manages token budgets efficiently
  • Supports 85%+ cache hit rate

Performance Benchmarks

Metric Value
Boot Time ~108ms
Skill Loading 141 skills in 44ms
Time Per Skill 0.32ms
Cache Hit Rate 85%+
E2E Query <72ms
Memory Usage ~140MB RAM

30 Operating Modes

Mode Use Case
AUTO Intelligent mode selection (default)
ULTRA Maximum reasoning for architecture
THINK Deep analysis and debugging
BUILD Production code generation
VIBE Rapid prototyping
LIGHT Simple questions and syntax
CREATIVE Visual design and UI
DATA Analytics and market data
AUDIT Security review
SWARM Multi-agent parallel execution

141 Domain Skills

Pre-built expertise including:

  • solana-anchor-expert - Blockchain development
  • react-typescript-master - Frontend patterns
  • smart-contract-auditor - Security analysis
  • nextjs-14-expert - App Router patterns
  • defi-data-analyst - DeFi analytics
  • And 136 more...

107 Specialized Agents

Spawn task-specific agents for:

  • Code review and refactoring
  • Security audits
  • Performance optimization
  • Documentation generation
  • Test automation

VS Code Extension Usage

Sidebar Panel

Look for the OPUS 67 icon in the Activity Bar (left sidebar):

  • Modes (30) - Browse and switch modes
  • Skills (141) - Load domain expertise
  • Agents (107) - Spawn specialized agents

Status Bar

The current mode is shown in the status bar (bottom right). Click to switch modes.

Commands (Ctrl+Shift+P)

Command Description
OPUS 67: Switch Mode Change operating mode
OPUS 67: Load Skill Load domain expertise
OPUS 67: Spawn Agent Spawn specialized agent
OPUS 67: Show Dashboard Visual overview
OPUS 67: Refresh Refresh all views

Installation

Full Installation (Recommended)

npx create-opus67@latest

This installs the complete OPUS 67 system:

  • MCP tools for Claude Code/Desktop
  • 141 skills with context injection
  • Memory system with unified sources
  • Hooks for automation

VS Code Extension Only

From Marketplace:

  1. Open VS Code → Extensions (Ctrl+Shift+X)
  2. Search "OPUS 67"
  3. Click Install

From Command Line:

code --install-extension gicm.opus67

From VSIX:

code --install-extension opus67-1.0.2.vsix

Extension Settings

Setting Default Description
opus67.defaultMode auto Default operating mode
opus67.showStatusBar true Show mode in status bar
opus67.autoInjectContext true Auto-inject skill context

Token Efficiency

OPUS 67 optimizes token usage through:

  • Hierarchical skill loading - Load only what's needed
  • Context windowing - Smart truncation and prioritization
  • Prompt caching - 85%+ cache hit rate
  • Mode-specific budgets - Each mode has optimized token limits

Requirements

  • VS Code 1.85.0+
  • Node.js 18+ (for npx installer)
  • Claude Code or Claude Desktop (for full functionality)

Links

  • NPX Installer: npx create-opus67@latest
  • Marketplace: https://marketplace.visualstudio.com/items?itemName=gicm.opus67
  • Dashboard: https://gicm-marketplace.vercel.app/opus67
  • Repository: https://github.com/gicm-dev/gicm

License

MIT

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