claude

agent-teams

Orchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code's Agent Teams

0 on GitHubby Seth Hobsonv1.0.2MITupdated 6 months agoworkflows
/

Plugin agent-teams from marketplace claude-code-workflows in ArogyaReddy/https-github.com-wshobson-agents. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (6)

  • multi-reviewer-patterns

    Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.

  • parallel-debugging

    Debug complex issues using competing hypotheses with parallel investigation, evidence collection, and root cause arbitration. Use this skill when debugging bugs with multiple potential causes, performing root cause analysis, or organizing parallel investigation workflows.

  • parallel-feature-development

    Coordinate parallel feature development with file ownership strategies, conflict avoidance rules, and integration patterns for multi-agent implementation. Use this skill when decomposing a large feature into independent work streams, when two or more agents need to implement different layers of the

  • task-coordination-strategies

    Decompose complex tasks, design dependency graphs, and coordinate multi-agent work with proper task descriptions and workload balancing. Use this skill when breaking down work for agent teams, managing task dependencies, or monitoring team progress.

  • team-communication-protocols

    Structured messaging protocols for agent team communication including message type selection, plan approval, shutdown procedures, and anti-patterns to avoid. Use this skill when establishing communication norms for a newly spawned team, when deciding whether to send a direct message or a broadcast,

  • team-composition-patterns

    Design optimal agent team compositions with sizing heuristics, preset configurations, and agent type selection. Use this skill when deciding how many agents to spawn for a task, when choosing between a review team versus a feature team versus a debug team, when selecting the correct subagent_type fo

Slash commands (7)

  • /agent-teams:team-debug

    Debug issues using competing hypotheses with parallel investigation by multiple agents

  • /agent-teams:team-delegate

    Task delegation dashboard for managing team workload, assignments, and rebalancing

  • /agent-teams:team-feature

    Develop features in parallel with multiple agents using file ownership boundaries and dependency management

  • /agent-teams:team-review

    Launch a multi-reviewer parallel code review with specialized review dimensions

  • /agent-teams:team-shutdown

    Gracefully shut down an agent team, collect final results, and clean up resources

  • /agent-teams:team-spawn

    Spawn an agent team using presets (review, debug, feature, fullstack, research, security, migration) or custom composition

  • /agent-teams:team-status

    Display team members, task status, and progress for an active agent team

Subagents (4)

  • team-debugger

    Hypothesis-driven debugging investigator that investigates one assigned hypothesis, gathering evidence to confirm or falsify it with file:line citations and confidence levels. Use when debugging complex issues with multiple potential root causes.

  • team-implementer

    Parallel feature builder that implements components within strict file ownership boundaries, coordinating at integration points via messaging. Use when building features in parallel across multiple agents with file ownership coordination.

  • team-lead

    Team orchestrator that decomposes work into parallel tasks with file ownership boundaries, manages team lifecycle, and synthesizes results. Use when coordinating multi-agent teams, decomposing complex tasks, or managing parallel workstreams.

  • team-reviewer

    Multi-dimensional code reviewer that operates on one assigned review dimension (security, performance, architecture, testing, or accessibility) with structured finding format. Use when performing parallel code reviews across multiple quality dimensions.

View source on GitHub

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