Does this skill help with agent communication?

Yes, it specifically maps dependencies and hand-off points between agents to ensure smooth transitions in a multi-agent workflow.

What does the Responsibility Mapper actually do?

It helps you define the specific tasks, goals, and boundaries for AI agents, transforming broad project ideas into structured agent definitions.

What kind of output does it generate?

It produces a Responsibility Map, recommended agent configurations, and detailed definition files including frontmatter, roles, and constraints.

When is the best time to use this skill?

Use it during the planning phase of a project or whenever you need to delegate complex work across multiple specialized AI agents.

Agent Responsibility Mapper

Name: Agent Responsibility Mapper
Author: RevTechStudio

byRevTechStudio

生产力与工作流

Organizes task responsibility scopes and extracts structured requirements to define specialized AI agent configurations.

关于

The Responsibility Mapper is a specialized tool designed to bridge the gap between abstract project tasks and concrete AI agent definitions. By guiding users through a structured five-phase workflow—collection, classification, definition, agent mapping, and recommendation—it clarifies exactly what an agent should and should not handle. This skill is essential for developers and architects building multi-agent systems, ensuring that each AI component has a focused purpose, clear hand-offs, and well-defined operational constraints for peak performance within Claude Code.

主要功能

Implementation prioritization and guided next-steps
Clear definition of in-scope vs. out-of-scope task boundaries
Dependency mapping and interaction design between agents
Automatic generation of detailed agent definition metadata
0 GitHub stars
Structured responsibility collection and classification

使用场景

Refining vague project descriptions into actionable agent requirements
Clarifying role boundaries between human developers and AI assistants
Designing complex multi-agent systems for enterprise software development

关于

主要功能

Implementation prioritization and guided next-steps
Clear definition of in-scope vs. out-of-scope task boundaries
Dependency mapping and interaction design between agents
Automatic generation of detailed agent definition metadata
0 GitHub stars
Structured responsibility collection and classification

使用场景

Refining vague project descriptions into actionable agent requirements
Clarifying role boundaries between human developers and AI assistants
Designing complex multi-agent systems for enterprise software development