Mega-Mind Skills System v1.0
A unified Gold Standard skill system for any AI coding assistant — covering the full software development lifecycle from planning through production operations and compliance.
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53 Gold Standard Skills — Core workflow, domain expert, meta/learning, and token optimization — every skill meets the Gold Standard SKILL.md v1.0 specification with 12 required sections including Blocking Violations, Verification with quality gates, Performance & Cost models, and Anti-Patterns tables.
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11 Agent Personas — Deep-dive personas for architecture, QA, security, accessibility, adversarial testing, privacy, incidents, and releases.
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9 Workflow Chains — Executable sequences covering the full lifecycle: brainstorm → plan → build → verify → ship → release → operate → learn.
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Multi-Platform — Works with Antigravity, Claude Code, GitHub Copilot, Cursor, OpenCode, Codex, and pi — any tool supporting the Agent Skills open standard.
New in v1.0 (2026-07-09): All 53 skills upgraded to Gold Standard. 19,531 total lines, 12/12 sections compliance. See the changelog for details.
Quick Start
# Install the CLI
pip install mmo # or
pipx install mmo # (recommended) or
uv tool install mmo # or
uvx mmo # run without installing
# Initialize in your project
cd /path/to/your/project
uvx mmo init # creates .agent/ with all 53 skills
Then in your AI assistant:
/mega-mind I need to add user authentication
/mega-mind route "fix this production bug"
/brainstorm How should I design the payment flow?
/verify
Read the full installation guide →
What's Inside
Orchestrator
The /mega-mind command is your primary entry point. It analyzes requests, routes to the
appropriate skill or agent, chains multi-step workflows, and tracks progress via task.md.
Skill Categories
| Category | Count | Purpose |
|---|---|---|
| Core Workflow | 9 | Brainstorming, planning, TDD, debugging, review, shipping |
| Domain Expert | 30 | Architecture, DevOps, data, ML, security, performance, UX |
| Meta & Learning | 12 | Continuous learning, search-first, verification, autonomous loops |
| Token Optimization | 2 | RTK proxy, context optimization |
Agent Personas
| Category | Personas |
|---|---|
| Development | tech-lead, planner, architect |
| Quality & Testing | code-reviewer, qa-engineer, accessibility-auditor, adversarial-tester |
| Security & Compliance | security-reviewer, data-privacy-officer |
| Operations & Releases | incident-commander, release-manager |
Workflow Chains
| Workflow | Purpose |
|---|---|
| brainstorm | Structured exploration |
| write-plan | Implementation planning |
| execute-plan | Disciplined step-by-step execution |
| high-complexity-dev | Multi-agent orchestration |
| review | Structured code review |
| debug | Root cause analysis |
| ship | Merge, deploy, branch cleanup |
| incident-response | Production incident lifecycle |
| release | Versioning, rollout, monitoring |
Compatibility
Any AI coding agent (Antigravity, Claude Code, Copilot, Cursor, OpenCode, Codex, pi, and all tools supporting the Agent Skills open standard).