team-coordination

Coordinate agent teams for adversarial review and parallel task implementation.

6|2|Updated Dec 19, 2025
One-click install
npx skills add https://github.com/synaptiai/synapti-marketplace --skill team-coordination-synaptiai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team-coordination
Source: https://github.com/synaptiai/synapti-marketplace/tree/main/plugins/flow/skills/team-coordination
Command: npx skills add https://github.com/synaptiai/synapti-marketplace --skill team-coordination-synaptiai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinates multiple AI teammates to preserve independent analysis, avoid contamination of findings, and produce higher-confidence reviews or parallel implementations when single-session approaches are insufficient. It prevents anchoring and groupthink by enforcing independent phases, defines task sizing and assignment to avoid merge conflicts, and provides timeout and failure handling so reviews complete even when teammates fail or go idle.

Core Features & Use Cases

  • Adversarial review protocol: Independent analysis, share findings, challenge, and synthesize to separate consensus, disputed, and unique findings with confidence levels.
  • Implementation team orchestration: Create task lists, assign non-overlapping file sets, monitor progress, and run final verification.
  • Teammate health and fallback handling: Timeout, failure, and idle handling with partial-result collection and single-session fallbacks.
  • Use Cases: Security reviews of PR diffs with multiple facets, large feature implementations across modules, and debugging workflows with competing hypotheses.

Quick Start

Ask the agent to spawn an adversarial three-person review team to independently analyze the PR diff, collect findings, run challenge rounds, and synthesize a prioritized review summary.

Frequently Asked Questions about team-coordination

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

FAQPage Schema
How do I orchestrate agent teams for parallel implementation of large features?

You can orchestrate agent teams by creating task lists, assigning non-overlapping file sets to teammates, monitoring progress, and running final verification to complete large feature implementations across multiple modules.

What is adversarial review and how does it prevent groupthink in code analysis?

Adversarial review enforces independent analysis phases before sharing findings, challenging assumptions, and synthesizing results to separate consensus, disputed, and unique findings with confidence levels, preventing groupthink and anchoring.

How do I handle teammate timeouts and failures during task orchestration?

Task orchestration handles teammate timeouts and failures by detecting idle or failed teammates, collecting partial results, and executing single-session fallbacks to ensure reviews complete even when agents fail.

Can I use agent teams for debugging workflows with competing hypotheses?

Yes, you can use agent teams for debugging workflows with competing hypotheses by spawning multiple agents to independently analyze the issue, collect findings, run challenge rounds, and synthesize a prioritized summary.

Does multi-agent task orchestration work for security reviews of PR diffs?

Yes, multi-agent task orchestration works for security reviews of PR diffs by enabling an adversarial three-person review team to independently analyze the diff, collect findings, and synthesize a prioritized review summary.

What is the best way to avoid merge conflicts when assigning tasks to implementation teams?

The best way to avoid merge conflicts is to define task sizing and assignment by allocating non-overlapping file sets to each teammate, monitoring progress, and running final verification before merging.