Create and manage specialized AI roles for agent teams.
npx skills add https://github.com/cloga/optimus-code --skill role-creator-cloga
Please help me install this Agent Skill. Skill: role-creator Source: https://github.com/cloga/optimus-code/tree/main/optimus-plugin/skills/role-creator Command: npx skills add https://github.com/cloga/optimus-code --skill role-creator-cloga
You need clear, actionable roles that guide AI agents. The Role Creator helps you design and manage a tailored team by creating new roles, selecting the best-fitting members, and refining context to reduce delegation failures.
Create a new role named 'data-pipeline-engineer' with a clear role_description and add it to the roster.
High-intent search queries and answers about installing and using this skill.
To create specialized AI roles, you define a structured, task-focused role description and add it to your agent roster. This provides clear guidance and guardrails for AI agents, reducing delegation failures caused by missing context.
The best way to select the right AI agent is to inspect your roster to identify T1 agents with project memory and reusable T2 role templates. This ensures you match task requirements with agents possessing the correct specialized context.
You diagnose delegation failures by inspecting the agent roster to identify missing context or underperforming roles. The Role Creator provides structured workflows to refine role schemas and align engine or model bindings for better outcomes.
Yes, you can evolve an existing AI agent team by updating role schemas based on performance and feedback. The system provides prompts for evolving the roster and aligning engine and model bindings to optimize team management.
You need a structured role schema for AI team management when introducing new roles or delegating complex tasks. Structured schemas provide robust role prompts and guardrails that improve delegation outcomes and reduce missing context errors.
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