Jiva team-coordination

install
source · Clone the upstream repo
git clone https://github.com/KarmaloopAI/Jiva
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/KarmaloopAI/Jiva "$T" && mkdir -p ~/.claude/skills && cp -r "$T/examples/personas/engineering-manager/skills/coordination" ~/.claude/skills/karmaloopai-jiva-team-coordination && rm -rf "$T"
manifest: examples/personas/engineering-manager/skills/coordination/SKILL.md
source content

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