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AI & LLM

LLM integrations, prompt engineering, and AI orchestration

7,400 skills

Investigate code to confirm specifications and provide evidence-based reports. Use for questions like 'what does...

Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on phrases like...

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)