Assemble, audit, and maintain coordinated AI agent teams for software projects.
npx skills add https://github.com/mathiasbourgoin/roster --skill recruit-mathiasbourgoin
Please help me install this Agent Skill. Skill: recruit Source: https://github.com/mathiasbourgoin/roster/tree/main/.opencode/skills/recruit Command: npx skills add https://github.com/mathiasbourgoin/roster --skill recruit-mathiasbourgoin
Manually configuring coordinated AI agent teams for software development is time-consuming, error-prone, and often leads to miswired pipelines, missing roles, or outdated agents. This Skill automates the entire process of assembling, auditing, and maintaining agent teams tailored to your project's specific tech stack and workflow needs.
Use the recruit skill to analyze my current software project and assemble a validated, fully wired AI agent team tailored to my tech stack and workflow requirements.
High-intent search queries and answers about installing and using this skill.
Assembling AI agent teams for software development requires analyzing your project's tech stack to automatically propose a fully wired pipeline with mandatory lead, implementer, reviewer, and QA roles. This eliminates manual configuration errors by pre-wiring validated agent pipelines that include human validation gates.
Contextual recruitment for AI agent management adds specialized agents on demand for new project needs like Docker integration or security audits without overhauling your existing team. It allows targeted agent additions tailored to specific workflow requirements while maintaining current pipeline stability.
Auditing existing AI agent harnesses detects stale agents, missing roles, and redundant team members in current setups. The audit process proposes targeted upgrades and additions to keep your coordinated agent pipeline current and aligned with subagent delegation platform constraints.
Agent orchestration for software projects supports shared harness models across Claude Code and Codex runtimes. This compatibility ensures assembled agent teams operate safely within platform constraints while maintaining governance rules and validation gates across different execution environments.
Governance rules for AI agent orchestration require configuring validation rules, escalation paths, and agent scope boundaries. These settings ensure your assembled team operates safely and aligned with project risk tolerance while supporting mandatory human validation gates.
Upgrading AI agent pipelines is necessary when audits reveal stale agents, missing roles, or redundant members in existing setups. Contextual recruitment suffices when adding specialized capabilities like Docker integration without overhauling your current coordinated team structure.
drbsclAnalyze task requirements against project resources to identify talent gaps.
mathiasbourgoinManage installed AI agent teams for software development pipelines.
faroukBakariCoordinate delegation decisions and subagent invocations across multi-agent workflows.
EarthmanWebExecute sequential multi-agent workflows via custom prompt chains and predefined pipelines.
