
Claude Skills by MeroZemory
github.com/MeroZemoryCreate the `/team` skill and register magic keywords so users can invoke team mode naturally.
Expand a product idea into a spec, plan implementation with critic validation, execute code across parallel agents, run iterative QA cycles, and perform multi-reviewer validation. Use when the user provides a feature description or project idea and wants end-to-end autonomous implementation without manual phase transitions.
Fix build and TypeScript errors with minimal changes
Cancel any active OMD mode (autopilot, ralph, ultrawork, ecomode, ultraqa, swarm, ultrapilot, pipeline)
Run a comprehensive code review
Deep codebase initialization with hierarchical AGENTS.md documentation
Exhaustive multi-strategy codebase search using grep, ripgrep, find, and AST-aware tracing to locate implementations, references, dependencies, and usage patterns for a given symbol, pattern, or concept. Use when you need to find every occurrence of a function, type, config key, or concept across a project — especially when simple text search misses indirect references, re-exports, or dynamic usage.
Diagnose and fix oh-my-droid installation issues
Token-efficient parallel execution mode using Haiku and Sonnet agents
Designer-turned-developer who crafts stunning UI/UX even without design mockups
Guide on using oh-my-droid plugin
Configure HUD display options (layout, presets, display elements)
Analyze your OMC usage patterns and get personalized recommendations
Extract a learned skill from the current conversation
Set up and manage local skills for automatic matching and invocation
Configure popular MCP servers for enhanced agent capabilities
Save notes to notepad.md for compaction resilience
Setup and configure oh-my-droid (the ONLY command you need to learn)
Coordinate multi-agent task execution by delegating to specialist subagents, managing parallel workflows, and verifying completion through architect review. Handles investigation-to-PR cycles, codebase assessment, todo-driven progress tracking, and failure recovery. Use when a task requires breaking work across multiple agents, delegating frontend/backend/research to specialists, or managing a full GitHub issue-to-PR workflow.
Chain agents together in sequential or branching workflows with data passing
Strategic planning with optional interview workflow
Manage isolated dev environments with git worktrees and tmux sessions
Initialize a PRD (Product Requirements Document) for structured ralph-loop execution
Self-referential loop until task completion with architect verification
Iterative planning with Planner, Architect, and Critic until consensus
Automated release workflow for oh-my-droid
Orchestrate parallel scientist agents for comprehensive research with AUTO mode
Review a plan with Critic
Run a comprehensive security review on code
Manage local skills - list, add, remove, search, edit
N coordinated agents on shared task list with SQLite-based atomic claiming
Enforce strict Test-Driven Development (TDD) using the red-green-refactor cycle. Use when writing unit tests, practicing test-first development, applying TDD discipline, or implementing features via red-green-refactor workflows.
Coordinate named agents as a team with inter-agent communication
Parallel autopilot with file ownership partitioning
QA cycling workflow - test, verify, fix, repeat until goal met
Decompose multi-step tasks into parallel sub-agent workloads, route each sub-task to the cheapest capable model tier (Haiku/Sonnet/Opus), run long-running commands in the background, and verify all deliverables before stopping. Use when the user asks to 'go fast', 'parallelize', 'ultrawork', or when a request contains 3+ independent sub-tasks that benefit from concurrent execution.
Agentic memory system for writers - track characters, relationships, scenes, and themes