claude

multi-model-orchestrator

Multi-model agent team orchestration via tmux + git worktrees. Routes tasks to the best model (Claude plans/reviews, Codex implements). Includes codex-swarm (up to 5 parallel Codex agents with decompose + review).

0 on GitHubv0.1.1updated 5 months ago
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Plugin multi-model-orchestrator from marketplace dynamic-dome-marketplace in dynamic-dome/claude-plugins-marketplace. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (4)

  • codex-swarm

    Spawnt N parallele Codex-Agents via tmux, orchestriert von Claude Opus 4.6. Jeder Agent laeuft in eigener Worktree mit konfigurierbarem Modell und Prompt. - "codex swarm" - "spawn codex agents" - "parallel codex" - "multi codex" - "codex schwarm" - "viele agents spawnen" - "parallel agents

  • codex-worker

    Route implementation tasks to OpenAI Codex in a sandboxed container for autonomous code churn

  • inception

    OPTIONAL Docker-Sandbox-Modus fuer multi-model-orchestrator. Standardmodus des Plugins ist tmux+Worktrees (siehe scripts/orchestrator.sh) — dieser Skill ist eine alternative Isolations-Schicht fuer destruktive oder besonders sensible Tasks. Triggert nur bei explizitem Wunsch nach Container-Isolation

  • research-pipeline

    REDIRECT: Use agentic-os:research-pipeline instead. This is an alias to avoid duplication.

Slash commands (2)

  • /multi-model-orchestrator:codex-swarm

    Spawn N parallel Codex agents orchestrated by Claude Opus. Supports task decomposition, per-agent models, and automated review.

  • /multi-model-orchestrator:orchestrate

    Run a multi-model orchestration pipeline (single-agent, dual-mode, or auto-routed)

Subagents (4)

  • model-implementer

    Autonomous code implementation agent. Reads a PLAN.md and implements every step: writes code, creates files, runs tests. Designed for handoff from a planner agent. Uses the most cost-efficient model available.

  • model-planner

    Senior architect agent that analyzes tasks and creates detailed step-by-step implementation plans. Used as the planning phase in multi-model pipelines before handing off to an implementer agent.

  • model-reviewer

    Code review agent that evaluates implementation changes against a plan. Checks correctness, security, quality, and test coverage. Outputs a structured PASS/FAIL verdict. Used as the final quality gate in multi-model pipelines.

  • model-router

    Task routing agent that decides which model or pipeline mode to use for a given task. Routes to single-agent (Claude or Codex), dual-mode (plan-implement-review), or custom agent teams based on task complexity and type.

View source on GitHub

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