AI Engineering

Hyperplan orchestrates a five-member adversarial multi-agent team that debates and critiques a plan to surface weak assumptions, then distills surviving insights and hands them to a planner for executable formalization. Use it when planning needs maximum rigor or when you want to expose blind spots and over-engineering.

Init Deep generates hierarchical AGENTS.md files for a project, scoring directories by complexity to decide where to place knowledge base files. Use it to create or update a knowledge base that guides AI coding agents.

Omomomo prints an easter egg message about Oh My OpenCode, a plugin that turns an AI agent into a multi-agent development team. Use it when the user triggers omomomo, about, or easter egg to share details about the plugin.

Onboarding walks first-time omo users through a guided six-lane conversation covering feature tour, migration help, session archaeology, value mapping, memory recording, and init-deep proposals. Use it during the initial omo session to set up the agent and record durable user facts.

Pi Goal tracks long-running goals persistently, with Codex-style create, inspect, update, pause, resume, and complete commands. Use it when the user explicitly asks to set, continue, audit, pause, resume, complete, or inspect a goal.

Ultrawork Mode activates a strict, evidence-driven coding workflow directive in omo-senpi when a prompt contains ultrawork or ulw, injecting it as a hidden context message ahead of the user's text.

ULW Loop decomposes work into systematic, evidence-bound steps for durable, checkpointed goal execution, using subagents and manual QA channels. Use it for long-running, evidence-led delivery with git-tracked edits.

ULW Plan turns a vague or large request into a decision-complete work plan a downstream worker executes with zero further interview. It activates only when the user explicitly requests the ulw-plan workflow and never self-activates.

ULW Research orchestrates a cooperating AI team for maximum-saturation research: it scopes axes, fans out to sources, runs debate rounds, proves contested claims with code, and delivers a cited synthesis with charts and assets. Activate it when an explicit, exhaustive research request is made.

Agent Coordination spawns and manages agents for complex multi-agent tasks. Use it to coordinate over 60 agent types, manage pools, and route work like bug fixes, features, refactors, performance, and security.

Backend API Developer designs, implements, and optimizes REST and GraphQL APIs with self-learning pattern recognition. Use it to create endpoints, routes, controllers, and middleware with strict error handling and automatic testing.

Collective Intelligence Coordinator orchestrates distributed cognitive processes across a hive mind of agents, synchronizing shared memory and building consensus for coherent collective decision-making. Use it to coordinate multi-agent systems, balance cognitive load, and integrate knowledge from parallel agents.