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    darkroomengineering

    orchestrate

    darkroomengineering/orchestrate
    Productivity
    5
    1 installs

    About

    SKILL.md

    Install

    Install via Skills CLI

    or add to your agent
    • Claude Code
      Claude Code
    • Codex
      Codex
    • OpenClaw
      OpenClaw
    • Cursor
      Cursor
    • Amp
      Amp
    • GitHub Copilot
      GitHub Copilot
    • Gemini CLI
      Gemini CLI
    • Kilo Code
      Kilo Code
    • Junie
      Junie
    • Replit
      Replit
    • Windsurf
      Windsurf
    • Cline
      Cline
    • Continue
      Continue
    • OpenCode
      OpenCode
    • OpenHands
      OpenHands
    • Roo Code
      Roo Code
    • Augment
      Augment
    • Goose
      Goose
    • Trae
      Trae
    • Zencoder
      Zencoder
    • Antigravity
      Antigravity
    ├─
    ├─
    └─

    About

    Multi-agent task orchestration for complex features...

    SKILL.md

    Multi-Agent Orchestration

    Before starting work, create a marker: mkdir -p ~/.claude/tmp && echo "orchestrate" > ~/.claude/tmp/heavy-skill-active && date -u +"%Y-%m-%dT%H:%M:%SZ" >> ~/.claude/tmp/heavy-skill-active

    Phase 1: Research & Feasibility (GO/NO-GO Gate)

    Before delegating to agents:

    1. Parse requirements - Break down what needs to happen
    2. Identify workstreams - Which are independent? Which have dependencies?
    3. Assess scope - Is this actually multi-agent work, or simpler than it looks?

    GO/NO-GO Verdict:

    • GO - Task has 3+ workstreams, clear boundaries, and agents can work independently. Proceed.
    • SIMPLIFY - Task has <3 workstreams. Use direct Agent() delegation instead.
    • NO-GO - Requirements unclear, scope too large, or high risk of file conflicts. Report and stop.

    Do not proceed past this gate without an explicit verdict.

    Phase 2: Orchestrate

    Delegate to the Maestro agent for multi-agent task orchestration.

    The Maestro agent handles: agent selection, parallel execution, workflow coordination, and agent teams.

    For simple delegation (1-2 agents), use Agent() directly without invoking this skill.

    When to Fan Out (Teams mode)

    Use full parallel team fan-out instead of sequential subagent delegation when:

    Scenario Fan out? Why
    3+ independent file areas Yes Maximum parallelism, isolated context per agent
    Frontend + Backend + Tests Yes No file conflicts, clear boundaries
    Large codebase analysis Yes Independent context per agent prevents bleed
    Competing approaches Yes Explore alternatives in parallel before deciding
    Sequential dependent work No Use subagents in sequence; fan-out adds overhead
    Quick single investigation No Overhead not worth it; use /explore directly

    Prerequisites for fan-out

    • CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS: "1" must be set (enabled by default in cc-settings)
    • For split panes: tmux or iTerm2 recommended

    Output

    Report: team composition (when fan-out chosen), task assignments, coordination strategy, and progress.

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    Repository
    darkroomengineering/cc-settings
    Files