Architects modular AI agent personas and team structures using the standardized MEMBER.md format.
The create-member skill enables developers to build sophisticated multi-agent systems by defining specialized AI 'members' with distinct roles, permissions, and capabilities. By implementing the MEMBER.md specification, this skill creates a portable and structured environment within your repository where each AI agent is bundled with its own operating procedures, required tools, and domain-specific context. It is ideal for teams looking to move beyond general-purpose prompts toward a library of specialized, deployable AI workers that follow consistent workflows and respect defined safety guardrails.
Key Features
01Granular permission modeling for read, execute, and approval workflows
02Modular capability management through integrated SKILL.md files
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04Automated directory scaffolding for skills, tools (MCP), and context
05Standardized MEMBER.md generation for role-specific AI personas
06Support for both complex directory structures and simple flat-file definitions
Use Cases
01Establishing specialized agents for automated code review and security auditing
02Building multi-agent workflows with clear operational boundaries and handoffs
03Standardizing AI agent behavior and domain knowledge across a distributed team
