mission-pod

Coordinate Pathfinder, Builder, and Inspector crews to execute tasks from Beads.

3|Updated Jan 14, 2026
One-click install
npx skills add https://github.com/thebrownproject/space-agents --skill mission-pod
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mission-pod
Source: https://github.com/thebrownproject/space-agents/tree/main/skills/mission-pod
Command: npx skills add https://github.com/thebrownproject/space-agents --skill mission-pod

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinates Pathfinder, Builder, and Inspector to fetch and execute a single task from Beads, delivering a consistent briefing, execution, and handover.

Core Features & Use Cases

  • End-to-end task orchestration from discovery to completion handover
  • Multi-agent execution pattern: Pathfinder gathers context, Builder implements, Inspector validates
  • Structured logging, dependency context, and failure handling for blockers

Quick Start

Provide a task_id to instruct the pod to fetch, brief, and execute a single task.

Frequently Asked Questions about mission-pod

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate multi-agent task execution for a specific software project requirement?

Multi-agent task execution is automated by coordinating Pathfinder, Builder, and Inspector crews to fetch, brief, implement, and validate a single task. This ensures structured software project execution from discovery through completion handover.

What is the best way to orchestrate AI agents for end-to-end task completion?

End-to-end task orchestration is handled by a multi-agent crew that pulls a defined task, gathers context, executes the implementation, and validates the results. It provides structured logging and a completion summary for handover.

How do I handle dependencies and blocked task protocols in automated AI agent workflows?

Automated AI agent workflows handle dependencies and blocked tasks through structured failure protocols. The Inspector validates work and logs progress, ensuring any blockers or failures during task execution are documented for review.

Can I use a single task ID to fetch and execute work from a task queue?

Yes, you can use a single task ID to fetch and execute work. The pod self-fetches work from Beads using the provided ID, automatically briefing the agents and executing the task before generating a handover summary.

Do I need to manually assign context gathering and validation roles to separate AI agents?

No, you do not need to manually assign context gathering and validation roles. The pod automatically coordinates Pathfinder for context, Builder for implementation, and Inspector for validation across the task lifecycle.