build
The build command executes a development plan from a specified file path to implement changes into a codebase. Use this command when you have a documented plan file ready to execute and need Claude to read the plan, implement its instructions systematically, and report the completed work with results. The command requires a valid file path argument or will prompt the user to provide one.
mkdir -p ~/.claude/commands && curl -fsSL https://raw.githubusercontent.com/disler/claude-code-hooks-mastery/HEAD/.claude/commands/build.md -o ~/.claude/commands/build.mdbuild.md
# Build Follow the `Workflow` to implement the `PATH_TO_PLAN` then `Report` the completed work. ## Variables PATH_TO_PLAN: $ARGUMENTS ## Workflow - If no `PATH_TO_PLAN` is provided, STOP immediately and ask the user to provide it (AskUserQuestion). - Read and execute the plan at `PATH_TO_PLAN`. Think hard about the plan and implement it into the codebase. ## Report - Present the `## Report` section of the plan.
Simple greeting agent, use proactively when greeting the user. If they say 'hi claude' or 'hi cc' or 'hi claude code' use this agent.
AI research specialist that proactively gathers latest news and developments in LLMs, AI agents, and engineering. Use for staying current with AI/ML innovations, finding actionable insights, and discovering new tools and techniques.
Generates a new, complete Claude Code sub-agent configuration file from a user's description. Use this to create new agents. Use this Proactively when the user asks you to create a new sub agent.
Proactively triggered when work is completed to provide concise audio summaries and suggest next steps. If they say 'tts' or 'tts summary' or 'audio summary' use this agent. When you prompt this agent, describe exactly what you want them to communicate to the user. Remember, this agent has no context about any questions or previous conversations between you and the user. So be sure to communicate well so they can respond to the user. Be concise, and to the point - aim for 2 sentences max.
Execute comprehensive cryptocurrency research using all crypto agents
Execute lightweight cryptocurrency research using haiku agents
Understand the current state of the git repository
Creates a concise engineering implementation plan based on user requirements and saves it to specs directory