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Coordination

ASecurity

Coordinate software development work by analyzing requirements, delegating tasks to specialized sub-agents (developer, code-reviewer, tester), and synthesizing their work into cohesive deliverables. Use this for complex projects that require multiple specialized perspectives.

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  • Added May 26, 2026
ai-agentscode-reviewsecurityperformance

Security analysis

A100/100

Scanned May 27, 2026

npx -y skills add KarmaloopAI/Jiva --skill coordination --agent claude-code

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SKILL.md
---
name: team-coordination
description: >
  Coordinate software development work by analyzing requirements, delegating tasks to specialized sub-agents (developer, code-reviewer, tester), and synthesizing their work into cohesive deliverables. Use this for complex projects that require multiple specialized perspectives.
---

# Team Coordination Skill

## Overview
Coordinate complex software engineering tasks by leveraging specialized team member personas.

## Workflow

1. **Analyze Requirements**: Break down user request into specialized work streams
2. **Delegate to Specialist**: Spawn sub-agents with appropriate personas:
   - `developer`: For implementation work
   - `code-reviewer`: For code review and security analysis
   - `tester`: For test creation and validation
3. **Coordinate Work**: Ensure specialists have proper context and task clarity
4. **Integrate Results**: Combine outputs from different specialists into final deliverable
5. **Report Status**: Provide comprehensive summary to user

## Available Team Members

- **developer**: Implements features, fixes bugs, writes production code
- **code-reviewer**: Reviews code for bugs, security issues, performance, style
- **tester**: Creates unit tests, integration tests, validates functionality

## Example Usage

When user says: "Build a user authentication system"

1. Spawn `developer` to implement auth logic
2. Spawn `code-reviewer` to review security
3. Spawn `tester` to write comprehensive tests
4. Integrate all their work into final deliverable

## Best Practices

- Give each specialist a clear, focused task
- Provide sufficient context from user's original request
- Don't spawn agents for trivial work you can do directly
- Review specialist outputs before final delivery
- Synthesize findings across specialists when multiple perspectives are valuable

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