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A powerful AI orchestrator and skill system for Antigravity, Claude Code, GitHub Copilot, and more. Featuring 60+ specialized domain expert skills, disciplined development workflows, and RTK token optimization.

Project description

Mega-Mind Skills System

A unified superpowers + virtual company skill set for AI coding assistants

This is a comprehensive skill-based workflow system that combines the disciplined development workflows of Superpowers with the domain expertise of Virtual Company and Everything-Claude-Code. It provides structured, reliable behavior for AI coding assistants across the entire software development lifecycle.

Compatible with: Antigravity · GitHub Copilot (VS Code) · Claude Code · Cursor · OpenCode · Codex · and any AI tool that supports the Agent Skills open standard

Overview

Mega-Mind brings together 59 skills organized into categories:

The Mega-Mind Orchestrator (1 skill)

The master controller that routes requests and coordinates skill chains:

  • mega-mind - Primary entry point via /mega-mind command

Core Workflow Skills (12 skills)

Structured development discipline that ensures quality at every step:

  • brainstorming - Explore approaches before committing
  • writing-plans - Create detailed implementation plans
  • executing-plans - Disciplined execution with tracking
  • single-flow-task-execution - Sequential task decomposition
  • test-driven-development - Write tests first, implement second
  • systematic-debugging - Root cause analysis methodology
  • requesting-code-review - Structured review requests
  • receiving-code-review - Handle feedback systematically
  • verification-before-completion - Prove it works before done
  • finishing-a-development-branch - Clean branch management
  • using-git-worktrees - Parallel development workflows
  • writing-skills - Create new custom skills

Domain Expert Skills (32 skills)

Specialized expertise for specific technical domains:

  • Architecture: tech-lead, frontend-architect, backend-architect, infra-architect, api-designer
  • Development: code-polisher, migration-upgrader, mobile-architect, legacy-archaeologist, python-patterns
  • Testing: test-genius, e2e-test-specialist, bug-hunter, eval-harness
  • DevOps: ci-config-helper, docker-expert, k8s-orchestrator, observability-specialist, deployment-patterns
  • Data: data-engineer, data-analyst, ml-engineer, search-vector-architect, database-migrations, regex-vs-llm-structured-text
  • Security: security-reviewer
  • Performance: performance-profiler
  • Documentation: doc-writer
  • UX: ux-designer
  • Product: product-manager, workflow-orchestrator
  • Meta: skill-generator

Meta & Learning Skills (12 skills)

Advanced patterns for efficiency and continuous improvement:

  • continuous-learning-v2 - Instinct extraction and evolution (The Learning Loop)
  • search-first - Mandatory research and library check before coding
  • autonomous-loops - Multi-step AI pipeline patterns without intervention
  • skill-stocktake - Quality audit and library maintenance
  • cost-aware-llm-pipeline - Model routing and token budget tracking
  • verification-loop - 6-phase continuous verification pipeline
  • iterative-retrieval - Progressive context refinement for subagents
  • strategic-compact - Logical context window management
  • content-hash-cache-pattern - SHA-256 caching for file processing
  • multi-plan - Collaborative multiple-model planning
  • multi-execute - Orchestrated multi-model execution and audit
  • plankton-code-quality - Write-time formatting and linting enforcement

Token Optimization & Context (2 skills)

Reduce LLM Token consumption and manage context limits:

  • rtk - CLI proxy for 60-90% token savings on common dev commands
  • context-optimizer - Context offloading and session continuity

Quick Start

1. Install the CLI

# pip
pip install mmo

# pipx (recommended — isolated, globally available)
pipx install mmo

# uv
uv tool install mmo

# Or run directly without installation
uvx mmo

2. Initialize skills in your project

# From your project root
cd /path/to/your/project

# Standard install (Antigravity, Cursor, and other standard tools)
mmo init

# Also install for Claude Code (CLI)
mmo init --claude

# Also install for GitHub Copilot (VS Code)
mmo init --copilot

# Overwrite an existing installation
mmo init --force
mmo init --copilot --claude --force

The --claude flag adds:

  • CLAUDE.md — project rules and workflows (mirrors AGENTS.md)
  • .claude/skills/ — all 59 skills in the Agent Skills standard directory

The --copilot flag adds a .github/ directory with:

  • copilot-instructions.md — global instructions loaded automatically
  • skills/<name>/SKILL.md — all 59 skills available as / slash commands
  • agents/<name>.agent.md — custom agent personas for VS Code

📖 For full details see USAGE.md

3. Verify the installation

Once initialized, use the /verify command (triggered by the verification-before-completion skill) or run the verification-loop to ensure all components are correctly installed and functional.

📖 For full installation details see USAGE.md


Using Mega-Mind

The /mega-mind Command

The /mega-mind command is your primary entry point to the skill system. It acts as an intelligent orchestrator that:

  1. Analyzes your request to understand intent
  2. Routes to the appropriate skill(s)
  3. Coordinates skill chains for complex tasks
  4. Tracks progress throughout

Available Commands

/mega-mind status             - Show current session state
/mega-mind skills             - List all available skills
/mega-mind workflows          - List available workflows
/mega-mind route <request>    - Analyze and route a request
/mega-mind execute <workflow> - Execute a named workflow
/mega-mind help               - Show help message

Direct Skill Commands

Command Skill Purpose
/brainstorm brainstorming Explore approaches before deciding
/plan writing-plans Create implementation plan
/execute executing-plans Execute plan with tracking
/debug systematic-debugging Debug systematically
/review requesting-code-review Request code review
/ship finishing-a-development-branch Deploy to production
/tdd test-driven-development Test-first development
/verify verification-before-completion Verify before marking done

Example Usage

User: /mega-mind I need to add user authentication with OAuth

🧠 Mega-Mind Orchestration
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📋 Request Analyzed: New feature - User Authentication with OAuth

🔄 Routed to skill chain:
   1. tech-lead                        → Define architecture
   2. brainstorming                    → Explore OAuth providers
   3. api-designer                     → Design auth API
   4. writing-plans                    → Create implementation plan
   5. test-driven-development          → Write auth tests
   6. backend-architect                → Implement auth service
   7. frontend-architect               → Implement login UI
   8. security-reviewer                → Security audit
   9. verification-before-completion   → Verify

📍 Starting with: tech-lead

File Structure

mega-mind-skills/
├── README.md                    # Main documentation (this file)
├── USAGE.md                     # Installation guide
├── COMPLETE_REFERENCE.md        # Detailed reference
├── quick-install.sh             # Simple copy installer (legacy)
│
└── .agent/
    ├── AGENTS.md                # Master contract and rules
    ├── hooks/
    │   └── hooks.json           # context-mode hooks registry
    ├── instincts/               # Learned patterns & observations
    ├── skills/
    │   ├── mega-mind/           # 🧠 Master orchestrator
    │   │
    │   ├── # Core Workflow Skills
    │   ├── brainstorming/
    │   ├── writing-plans/
    │   ├── executing-plans/
    │   ├── single-flow-task-execution/
    │   ├── test-driven-development/
    │   ├── systematic-debugging/
    │   ├── requesting-code-review/
    │   ├── receiving-code-review/
    │   ├── verification-before-completion/
    │   ├── finishing-a-development-branch/
    │   ├── using-git-worktrees/
    │   └── writing-skills/
    │   │
    │   ├── # Domain Expert Skills
    │   ├── tech-lead/
    │   ├── frontend-architect/
    │   ├── backend-architect/
    │   ├── infra-architect/
    │   ├── api-designer/
    │   ├── code-polisher/
    │   ├── migration-upgrader/
    │   ├── mobile-architect/
    │   ├── legacy-archaeologist/
    │   ├── python-patterns/
    │   ├── test-genius/
    │   ├── e2e-test-specialist/
    │   ├── bug-hunter/
    │   ├── eval-harness/
    │   ├── ci-config-helper/
    │   ├── docker-expert/
    │   ├── k8s-orchestrator/
    │   ├── observability-specialist/
    │   ├── deployment-patterns/
    │   ├── data-engineer/
    │   ├── data-analyst/
    │   ├── ml-engineer/
    │   ├── search-vector-architect/
    │   ├── database-migrations/
    │   ├── regex-vs-llm-structured-text/
    │   ├── security-reviewer/
    │   ├── performance-profiler/
    │   ├── doc-writer/
    │   ├── ux-designer/
    │   ├── product-manager/
    │   ├── workflow-orchestrator/
    │   └── skill-generator/
    │   │
    │   ├── # Meta & Learning Skills
    │   ├── continuous-learning-v2/
    │   ├── search-first/
    │   ├── autonomous-loops/
    │   ├── skill-stocktake/
    │   ├── cost-aware-llm-pipeline/
    │   ├── verification-loop/
    │   ├── iterative-retrieval/
    │   ├── strategic-compact/
    │   ├── content-hash-cache-pattern/
    │   ├── multi-plan/
    │   ├── multi-execute/
    │   └── plankton-code-quality/
    │   │
    │   └── # Token Optimization & Context
    │       ├── rtk/
    │       └── context-optimizer/
    │
    ├── workflows/
    │   ├── brainstorm.md
    │   ├── debug.md
    │   ├── execute-plan.md
    │   ├── high-complexity-dev.md
    │   ├── review.md
    │   ├── ship.md
    │   └── write-plan.md
    │
    ├── agents/
    │   ├── architect.md
    │   ├── code-reviewer.md
    │   ├── planner.md
    │   ├── qa-engineer.md
    │   ├── security-reviewer.md
    │   └── tech-lead.md
    │
    └── tests/
        └── run-tests.sh

Skill Routing Matrix

The mega-mind orchestrator automatically routes requests to appropriate skills:

Request Type Primary Skill Secondary Skills
New feature tech-lead brainstorming, writing-plans
Bug fix systematic-debugging bug-hunter
Code quality code-polisher -
Performance performance-profiler -
Security security-reviewer -
Testing test-driven-development test-genius
Documentation doc-writer -
API design api-designer backend-architect
Frontend frontend-architect ux-designer
Backend backend-architect api-designer
DevOps infra-architect docker-expert, k8s-orchestrator
Data data-engineer data-analyst
ML/AI ml-engineer -
Mobile mobile-architect -
Legacy code legacy-archaeologist -

Workflows

Standard Development Chain (The Z-Pattern)

search-first → tech-lead → brainstorming → writing-plans → test-driven-development →
executing-plans → verification-loop → requesting-code-review →
finishing-a-development-branch → continuous-learning-v2

High-Complexity Chain (Phase 3 Orchestration)

search-first → architect → multi-plan → [Approval] → multi-execute →
verification-loop → security-reviewer → finishing-a-development-branch

Autonomous Loop Chain

writing-plans → autonomous-loops → [Loop Execution] → verification-loop →
continuous-learning-v2

Bug Fix

systematic-debugging → bug-hunter → test-driven-development →
verification-loop → finishing-a-development-branch → continuous-learning-v2

Code Improvement

plankton-code-quality → code-polisher → test-driven-development → verification-loop

Key Concepts

Task Tracking

All tasks are tracked in <project-root>/docs/plans/task.md:

Task ID Description Status Priority Dependencies
1 Example task pending high -

Status values: pending, in_progress, completed, blocked

Verification Before Completion

Never mark a task as complete without:

  1. Running tests
  2. Running linting
  3. Building successfully
  4. Manual verification
  5. Checking for regressions

Execution Model

  1. Session loads .agent/AGENTS.md rules
  2. /mega-mind analyzes and routes requests
  3. Design work flows through brainstorming → planning → execution
  4. All work tracked in task tracker
  5. Nothing marked done without verification

RTK Token Optimization

When RTK is installed, CLI commands are automatically optimized:

Original RTK-Optimized Savings
git log rtk git log 85%
cargo test rtk cargo test 90%
npm test rtk npm test 90%
pytest rtk pytest 90%

Install RTK:

cargo install rtk
# or
curl -sSL https://github.com/rtk-ai/rtk/releases/latest/download/rtk-$(uname -s)-$(uname -m) -o /usr/local/bin/rtk
chmod +x /usr/local/bin/rtk

Installation

See USAGE.md for the full installation guide.

CLI Reference

# Install skills into current directory (Antigravity / Claude / Cursor / standard)
mmo init

# Also install for OpenCode
mmo init --opencode

# Also install for Codex
mmo init --codex

# Install into a specific path
mmo init /path/to/project
mmo init /path/to/project --copilot

# Overwrite existing installation
mmo init --force
mmo init --copilot --claude --opencode --codex --force

# Show CLI version
mmo --version

Validate Installation

Use the internal /verify command within your AI assistant to run the verification protocol.

Tests verify:

  • Core workflow skills existence
  • Domain expert skills existence
  • Workflows existence
  • Agent profiles existence
  • AGENTS.md validation
  • Skill frontmatter validation

Contributing

To add new skills:

  1. Create a new directory in .agent/skills/
  2. Add a SKILL.md file with proper frontmatter:
    ---
    name: skill-name
    description: What this skill does
    triggers:
      - "/trigger"
      - "keyword"
    ---
    
  3. Include instructions and examples
  4. Run tests to verify

Credits

This project combines and adapts:


License

MIT License - Free to use and modify.

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