Gitmaxd

John Carmack-level implementation review via rp-cli for current branch changes. Use when reviewing code changes, PRs, or implementations. Triggers on mentions of code review, implementation review, or PR review.

Carmack-level plan review via rp-cli context builder + chat. Use when reviewing implementation plans, architecture docs, or design specs. Triggers on mentions of plan review, design review, or architecture review.

Create structured build plans from feature requests, bug reports, or Beads issue IDs. Use when planning features, designing implementation, preparing work breakdown, or when given a bead/issue ID to plan. Triggers on /flow:plan with text descriptions or issue IDs (e.g., bd-123, gno-45, app-12).

Resume interrupted flow:work session from last checkpoint. Reads flow-progress.txt to restore context and continue work.

Execute a plan file or Beads epic systematically with git setup, task tracking, quality checks, and commit workflow. Use when implementing a plan, working through a spec, following documented steps, or executing a Beads issue ID (e.g., bd-123, gno-45, app-12).

Token-efficient codebase exploration using RepoPrompt CLI. Use when user says "use rp to..." or "use repoprompt to..." followed by explore, find, understand, search, or similar actions.

Manage git worktrees (create/list/switch/cleanup) and copy .env files. Use for parallel feature work, isolated review, clean workspace, or when user mentions worktrees.

Progressive Code-Mode MCP integration for Factory Droid. Discover tools incrementally, hydrate schemas on demand, and run procedural workflows that call MCP tools outside the LLM loop.

Search, retrieve, version, and persist AI prompt templates, documents, and collections in the user's Context Repo account (https://contextrepo.com) via the official MCP server. Use this skill whenever the user mentions their saved prompts, prompt library, prompt templates, system prompts, "context repo", contextrepo, or wants to find, save, version, restore, or share a reusable prompt or document across their AI tools — even when they don't explicitly say "skill" or "MCP". Trigger on phrases like "find my prompt for ...", "use the system prompt I saved as ...", "save this as a reusable prompt", "what prompts do I have about ...", "version this prompt", "restore the previous version of ...", "search my context repo for ...", or "sync this prompt to my Cursor / Claude / ChatGPT setup". Also trigger when the user wants to navigate large documents hierarchically (deep_search -> deep_read -> deep_expand) or perform semantic search across their stored knowledge base.

Deep Agents CLI — the LangGraph-based terminal coding agent. Use this skill whenever the user mentions deepagents, deep agents, the deep agents CLI, terminal coding agent, LangGraph agent, or asks about agent memory, agent skills, AGENTS.md, coding assistants in the terminal, or building scripted/CI agent workflows. Covers: interactive and non-interactive sessions, 20+ LLM providers, model configuration, skills, persistent memory, sandboxed execution, subagents, streaming, and the Agent Client Protocol.

Deep Agents CLI — the LangGraph-based terminal coding agent. Use this skill whenever the user mentions deepagents, deep agents, the deep agents CLI, terminal coding agent, LangGraph agent, or asks about agent memory, agent skills, AGENTS.md, coding assistants in the terminal, or building scripted/CI agent workflows. Covers: interactive and non-interactive sessions, 20+ LLM providers, model configuration, skills, persistent memory, sandboxed execution, subagents, streaming, and the Agent Client Protocol.

Deep Agents CLI — the LangGraph-based terminal coding agent. Use this skill whenever the user mentions deepagents, deep agents, the deep agents CLI, terminal coding agent, LangGraph agent, or asks about agent memory, agent skills, AGENTS.md, coding assistants in the terminal, or building scripted/CI agent workflows. Covers: interactive and non-interactive sessions, 20+ LLM providers, model configuration, skills, persistent memory, sandboxed execution, subagents, streaming, and the Agent Client Protocol.

Deep Agents CLI — the LangGraph-based terminal coding agent. Use this skill whenever the user mentions deepagents, deep agents, the deep agents CLI, terminal coding agent, LangGraph agent, or asks about agent memory, agent skills, AGENTS.md, coding assistants in the terminal, or building scripted/CI agent workflows. Covers: interactive and non-interactive sessions, 20+ LLM providers, model configuration, skills, persistent memory, sandboxed execution, subagents, streaming, and the Agent Client Protocol.

Progressive MCP integration for Claude Code. Discover tools incrementally, hydrate schemas on demand, and run procedural workflows that call MCP tools outside the LLM loop.