Ai Team Builder Kanban

Architect durable multi-agent Kanban boards with structured handoffs and role-based task decomposition.

Install
cmdop skills install agensi-ai-team-builder-kanban

AI Team Builder Kanban is a skill published by agensi that generates structured blueprints for multi-agent task orchestration. Rather than relying on a single AI agent to handle an entire large-scale project, this skill produces a Hermes-style Kanban board design that distributes work across a team of specialized agents with defined roles.

The skill breaks a monolithic goal into discrete tasks assigned to one of three states: Ready, Running, or Blocked. Each task includes explicit dependency mapping so the execution order is unambiguous. Agent Profiles are defined for distinct roles—Researchers, Implementers, and Verifiers—with an Orchestrator role responsible for planning and unblocking, and Worker roles responsible for execution.

Handoff moments between agents are the central concern of the design. The skill defines structured completion metadata and handoff comments so that when one agent finishes a task, the next agent receives the exact context and artifacts it needs to continue without human intervention. It also incorporates resilience logic covering retries, blocked-task handling, and verification gates.

The output is a technical plan intended to be implemented in a multi-agent framework that requires strict state management and audit trails, such as Hermes. This skill does not execute tasks itself; it produces the architectural blueprint that a compatible runtime would then act upon.

Use cases

  • Design a Kanban-based workflow for a multi-step research and synthesis pipeline across specialized AI agents
  • Generate agent role definitions and dependency maps for a complex software development automation project
  • Produce structured handoff protocols so agents exchange context without human re-prompting between steps
  • Model retry and verification gates for a multi-agent pipeline that must handle blocked or failed tasks
  • Create an audit-trail-ready task board for a long-running automated workflow

When to use it

  • The project involves multiple interdependent tasks too large for a single agent's context window
  • The target runtime is Hermes or a compatible multi-agent framework that reads structured Kanban state
  • Strict handoff metadata and audit trails are required between agent transitions
  • Distinct roles such as research, implementation, and verification need to be separated

When not to use it

  • A direct execution environment is needed — this skill produces plans, not running agents
  • The target system does not support a Kanban-style state model or Hermes-compatible handoff format
  • The task is simple enough for a single-agent, single-prompt workflow
  • No multi-agent framework is available to consume the generated blueprint