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AI & LLM

LLM integrations, prompt engineering, and AI orchestration

6,600 skills

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

Configure HUD display options (layout, presets, display elements)

Git expert for atomic commits, rebasing, and history management with style detection