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mathiasbourgoin
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team

Manage installed AI agent teams for software development pipelines.

2|2|Updated Mar 17, 2026
Search Tags:#task execution#agent coordination#pipeline orchestration#team audit#agent team management#harness build#roster framework
One-click install
npx skills add https://github.com/mathiasbourgoin/roster --skill team-mathiasbourgoin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: team
Source: https://github.com/mathiasbourgoin/roster/tree/main/.opencode/skills/team
Command: npx skills add https://github.com/mathiasbourgoin/roster --skill team-mathiasbourgoin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Managing coordinated AI agent teams for software development pipelines requires manual handling of team setup, ongoing audits for gaps and staleness, and consistent task execution routing — this skill centralizes all these operations to eliminate overhead and reduce errors.

Core Features & Use Cases

  • Team Build: Apply approved recruitment proposals to install agents, rules, and skills into the project harness with a single command.
  • Team Review: Audit your installed agent team for outdated agents, missing roles, redundant specialists, and pipeline contract gaps to keep your team effective.
  • Team Run: Execute new development tasks through the full agent pipeline via the tech-lead, with built-in validation checkpoints to ensure quality.
  • Use Case: After recruiting a new specialized agent team for your codebase, use this skill to apply the approved proposal, audit the installed team for gaps, and kick off your first feature task through the pipeline.

Quick Start

Invoke the team skill to run a new bug fix task through your installed agent pipeline.

Frequently Asked Questions about team

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

FAQPage Schema
How do I orchestrate an AI agent pipeline for software development tasks?▼

You can orchestrate an AI agent pipeline by applying approved recruitment proposals, auditing installed agents, and routing new development tasks through a tech-lead with built-in validation checkpoints using the Roster framework.

What is the best way to audit an installed AI agent team for pipeline gaps?▼

Auditing an installed AI agent team involves reviewing the roster for outdated agents, missing roles, redundant specialists, and pipeline contract gaps to ensure your software development pipeline remains effective.

Can I run coordinated agent workflows across different code generation runtimes?▼

Yes, coordinated agent workflows support Claude Code, OpenCode, and Codex runtimes, allowing you to manage build, review, and run operations across multiple execution environments.

How do I apply a recruitment proposal to install new agents into my project harness?▼

Applying a recruitment proposal uses a team build command to install approved agents, rules, and skills directly into the project harness, establishing a bounded single-level subagent delegation architecture.

What are the limitations of using a bounded single-level subagent delegation architecture?▼

A bounded single-level subagent delegation architecture restricts delegation depth to a single level, meaning subagents cannot spawn further nested subagents, which constrains highly recursive task execution routing.

Does the Roster framework support centralized lifecycle management for AI agent teams?▼

Yes, the Roster framework provides centralized team lifecycle management, handling everything from initial harness builds and coherence validation to ongoing team audits and task execution routing.

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