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agent-coordination

agent-coordination

github.com/d-o-hubAgent workflows1339 installsUpdated today
Repository

About agent-coordination

A skill for coordinating specialized Skills and Task Agents through patterns such as parallel, sequential, swarm, hybrid, and iterative execution. It is intended for complex workflows with dependencies or quality checks.

Key features

  1. 01Choose parallel, sequential, swarm, and other strategies
  2. 02Distinguish Skills from Task Agents
  3. 03Order tasks according to dependencies
  4. 04Add quality checkpoints to workflows

Use cases

  1. 01Divide and coordinate complex work across multiple workers
  2. 02Sequence multi-stage tasks based on dependencies
  3. 03Add validation steps to quality-critical work

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/d-o-hub/rust-self-learning-memory --skill agent-coordination

After installing, type/agent-coordinationin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

examples.md
quality-gates.md
skills-agents.md
strategies.md
evals/
evals.json

Details

From the project README

Agent Coordination

Coordinate multiple specialized Skills and Task Agents through strategic execution patterns.

Quick Reference

When to Use

  • Orchestrating multi-worker workflows
  • Managing dependencies between tasks
  • Optimizing complex task execution
  • Quality-critical work with validation

CRITICAL: Skills vs Task Agents

Skills (via Skill tool): Instruction sets that guide Claude

  • Examples: code-quality, architecture-validation, plan-gap-analysis

Agents (via Task tool): Autonomous sub-processes that execute

  • Examples: code-reviewer, test-runner, debugger, loop-agent

Parallel Execution: Use single message with multiple Task calls for maximum throughput:

[Task tool] → Agent A
[Task tool] → Agent B
[Task tool] → Agent C
All start simultaneously.

See Strategies for coordination patterns and Skills vs Agents for when to use each.

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