dev-coordination-message-formats
关于
This Claude Skill provides standardized JSON schemas for the Ralph event-driven messaging system. It defines the core message structure, ID format, and specific message types like `task_assign` for coordinating development workflows. Use it to ensure consistent and structured communication between different roles (e.g., PM, Developer, QA) within the system.
快速安装
Claude Code
推荐npx skills add majiayu000/claude-skill-registry -a claude-code/plugin add https://github.com/majiayu000/claude-skill-registrygit clone https://github.com/majiayu000/claude-skill-registry.git ~/.claude/skills/dev-coordination-message-formats在 Claude Code 中复制并粘贴此命令以安装该技能
GitHub 仓库
Frequently asked questions
What is the dev-coordination-message-formats skill?
dev-coordination-message-formats is a Claude Skill by majiayu000. Skills package instructions and resources that Claude loads on demand, so Claude can perform dev-coordination-message-formats-related tasks without extra prompting.
How do I install dev-coordination-message-formats?
Use the install commands on this page: add dev-coordination-message-formats to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does dev-coordination-message-formats belong to?
dev-coordination-message-formats is in the coordination category, tagged general.
Is dev-coordination-message-formats free to use?
Yes. dev-coordination-message-formats is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
相关推荐技能
Hive Mind Advanced是一个用于复杂多代理协调的高级集体智能系统，采用女王主导的层级架构来协调多个代理的协作。它通过共识机制和持久化内存实现集体决策与知识共享，适用于需要分布式智能体协同完成复杂任务的场景。开发者可以用它构建具备战略规划、任务分配和集体学习能力的多代理应用系统。
hive-mind-advanced 是一个用于构建复杂多智能体系统的协调框架，采用女王主导的层级架构来实现集体决策与任务分配。它通过拜占庭共识机制确保多智能体间可靠协作，并利用持久化记忆维持系统状态。该技能适用于需要多个AI智能体协同完成复杂任务、进行分布式决策或长期运行的自动化工作流场景。
该Skill为开发者提供了高级多智能体协调系统，采用女王主导的层级架构实现智能体间的集体决策。核心特性包括拜占庭容错共识机制和持久化集体记忆，确保分布式协作的可靠性与连续性。适用于需要复杂任务编排、分布式共识和长期记忆维护的多智能体应用场景。
这是一个用于构建女王领导的多智能体协作系统的技能，提供层级化协调架构。它包含共识机制和持久化集体记忆，适用于需要复杂决策和任务分配的自动化场景。开发者可以用它实现智能体间的战略协调与可靠的状态共享。