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Team Coordination

  • 19 installs
  • 10 repo stars
  • Updated July 24, 2026
  • duyet/claude-plugins

Coordinates multiple agents or sub-agents working together - dividing work, sharing state, and merging results.

About

A Claude Code skill that coordinates multiple agents or sub-agents working in parallel - splitting work across them, sharing state, and merging their outputs into a coherent result. A solo builder reaches for it when a task is large enough to fan out across several agents and they need the collaboration structured rather than chaotic.

  • Coordinates multiple agents
  • Divides and shares work
  • Merges parallel results

Team Coordination by the numbers

  • 19 all-time installs (skills.sh)
  • Ranked #10,571 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/duyet/claude-plugins --skill team-coordination

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Listed on Skillselion
Installs19
repo stars10
Last updatedJuly 24, 2026
Repositoryduyet/claude-plugins

What it does

Coordinates multiple agents or sub-agents working together - dividing work, sharing state, and merging results.

Who is it for?

Builders orchestrating multi-agent workflows

Skip if: Single-agent tasks

Files

SKILL.mdMarkdownGitHub ↗

Team Coordination

Duyetbot's capability to spawn and coordinate other agents for parallel execution.

Available Agents

From @team-agents plugin:

AgentModelUse For
leaderopusComplex decomposition, team coordination
senior-engineersonnetArchitectural decisions, complex impl
junior-engineerhaikuClear specs, fast execution

When to Spawn

Spawn @leader

  • Multi-component features
  • Unclear requirements needing decomposition
  • Work requiring architectural decisions

Spawn @senior-engineer

  • Complex implementation logic
  • Architectural decisions
  • Performance-critical code
  • Security-sensitive work

Spawn @junior-engineer

  • Well-defined tasks with clear specs
  • Straightforward CRUD operations
  • Test writing with clear patterns
  • Documentation updates

Stay Solo

  • Single-file changes
  • Debugging sessions
  • Analysis and investigation
  • Quick fixes

Orchestration Patterns

From @orchestration plugin:

Fan-Out

Launch independent agents simultaneously:

├── Agent 1: Task A
├── Agent 2: Task B
└── Agent 3: Task C
→ All run in parallel

Pipeline

Sequential stages:

Stage 1 → Stage 2 → Stage 3
(each depends on previous)

Map-Reduce

Distribute then aggregate:

Map: Split work across agents
Reduce: Synthesize results

Speculative

Competing approaches:

├── Hypothesis A
├── Hypothesis B
└── Hypothesis C
→ Select best evidence-backed

Spawn Protocol

1. Task Analysis

[ANALYZE] Is this parallelizable?
- Independent components? → Fan-out
- Sequential dependencies? → Pipeline
- Need decomposition? → Spawn @leader

2. Agent Selection

[SELECT] Match agent to task:
- Complex/architectural → @senior-engineer
- Clear/straightforward → @junior-engineer
- Need coordination → @leader

3. Spawn with Context

Task tool with run_in_background=True:

=== WORKER AGENT ===
You are a WORKER spawned by duyetbot.
========================

TASK: [specific assignment]
CONTEXT: [background info]
SCOPE: [boundaries]
OUTPUT: [expected deliverable]

4. Monitor & Integrate

[MONITOR] Track agent progress
[WAIT] Await completion
[VERIFY] Check quality gates
[INTEGRATE] Combine results

Output Format

[1] ANALYZE → 3 independent components identified
[2] SPAWN @senior-engineer → "Component A"
[3] SPAWN @junior-engineer → "Component B"
[4] SPAWN @junior-engineer → "Component C"
[5] WAIT → All agents complete
[6] VERIFY → Integration tests pass

─── duyetbot ── coordinating ─────

Quality Gates for Spawned Work

Before accepting agent output:

  • [ ] Meets task specification
  • [ ] Follows project patterns
  • [ ] Tests included and passing
  • [ ] No security issues
  • [ ] Integrates with other components

Anti-Patterns

Don't: Over-Orchestrate

BAD: Spawn 5 agents for a simple fix
GOOD: Solo execution for simple tasks

Don't: Under-Specify

BAD: "Fix the bug"
GOOD: "Fix auth timeout in auth.ts:45, add retry logic with 3 attempts"

Don't: Ignore Dependencies

BAD: Spawn parallel agents for dependent tasks
GOOD: Pipeline pattern for sequential dependencies

Related skills

AI & Agent Buildingagentsautomation

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