Agentic memory system for writers - track characters, relationships, scenes, and themes

Activate maximum performance mode with parallel agent orchestration for high-throughput task completion

QA cycling workflow - test, verify, fix, repeat until goal met

Test-Driven Development enforcement skill - write tests first, always

N coordinated agents on shared task list with SQLite-based atomic claiming

Manage local skills - list, add, remove, search, edit

Orchestrate parallel scientist agents for comprehensive research with AUTO mode

Iterative planning with Planner, Architect, and Critic until consensus

Self-referential loop until task completion with architect verification

Initialize a PRD (Product Requirements Document) for structured ralph-loop execution

Strategic planning with optional interview workflow

Chain agents together in sequential or branching workflows with data passing

Setup and configure oh-my-claudecode (the ONLY command you need to learn)

Save notes to notepad.md for compaction resilience