# Team Coordination

> >

- **Type:** Skill
- **Install:** `agentstack add skill-karmaloopai-jiva-coordination`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [KarmaloopAI](https://agentstack.voostack.com/s/karmaloopai)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [KarmaloopAI](https://github.com/KarmaloopAI)
- **Source:** https://github.com/KarmaloopAI/Jiva/tree/main/examples/personas/engineering-manager/skills/coordination
- **Website:** https://www.karmaloop.ai

## Install

```sh
agentstack add skill-karmaloopai-jiva-coordination
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 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

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [KarmaloopAI](https://github.com/KarmaloopAI)
- **Source:** [KarmaloopAI/Jiva](https://github.com/KarmaloopAI/Jiva)
- **License:** MIT
- **Homepage:** https://www.karmaloop.ai

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-karmaloopai-jiva-coordination
- Seller: https://agentstack.voostack.com/s/karmaloopai
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.