multimodel

Plugin multimodel from marketplace mag-claude-plugins in MadAppGang/claude-code. Commands read from the repo's manifest — 1 month ago.

Skills (15)

• agent-enforcement

  Multi-agent orchestration enforcement for /team command. Provides claudish CLI validation, validates session directory paths, and ensures /team internal Tasks use dev:researcher. Use when debugging /team orchestration failures. - "team enforcement" - "agent selection" - "orchestration failure" - "cl

• batching-patterns

  Batch all related operations into single messages for maximum parallelism and performance. Use when launching multiple agents, reading multiple files, running parallel searches, optimizing workflow speed, or avoiding sequential execution bottlenecks. Trigger keywords - "batching", "parallel", "singl

• error-recovery

  Handle errors, timeouts, and failures in multi-agent workflows. Use when dealing with external model timeouts, API failures, partial success, user cancellation, or graceful degradation. Trigger keywords - "error", "failure", "timeout", "retry", "fallback", "cancelled", "graceful degradation", "recov

• hierarchical-coordinator

  Prevent goal drift in long-running multi-agent workflows using a coordinator agent that validates outputs against original objectives at checkpoints. Use when orchestrating 3+ agents, multi-phase features, complex implementations, or any workflow where agents may lose sight of original requirements.

• hooks-system

  Comprehensive lifecycle hook patterns for Claude Code workflows. Use when configuring PreToolUse, PostToolUse, UserPromptSubmit, Stop, or SubagentStop hooks. Covers hook matchers, command hooks, prompt hooks, validation, metrics, auto-formatting, and security patterns. Trigger keywords - "hooks", "P

• model-tracking-protocol

  MANDATORY tracking protocol for multi-model validation. Creates structured tracking tables BEFORE launching models, tracks progress during execution, and ensures complete results presentation. Use when running 2+ external AI models in parallel. Trigger keywords - "multi-model", "parallel review", "e

• multi-agent-coordination

  Coordinate multiple agents in parallel or sequential workflows. Use when running agents simultaneously, delegating to sub-agents, switching between specialized agents, or managing agent selection. Trigger keywords - "parallel agents", "sequential workflow", "delegate", "multi-agent", "sub-agent", "a

• multi-model-validation

  Run multiple AI models in parallel for 3-5x speedup with ENFORCED performance statistics tracking. Use when validating with Grok, Gemini, GPT-5, DeepSeek, MiniMax, Kimi, GLM, or Claudish proxy for code review, consensus analysis, or multi-expert validation. NEW in v3.2.0 - Direct API prefixes (mmax/

• performance-tracking

  Track agent, skill, and model performance metrics for optimization. Use when measuring agent success rates, tracking model latency, analyzing routing effectiveness, or optimizing cost-per-task. Trigger keywords - "performance", "metrics", "tracking", "success rate", "agent performance", "model laten

• proxy-mode-reference

  Reference guide for using external AI models via claudish CLI. Use when running multi-model reviews, understanding how /team invokes external models, or debugging external model integration issues. Includes routing prefixes for MiniMax, Kimi, GLM direct APIs.

• quality-gates

  Implement quality gates, user approval, iteration loops, and test-driven development. Use when validating with users, implementing feedback loops, classifying issue severity, running test-driven loops, or building multi-iteration workflows. Trigger keywords - "approval", "user validation", "iteratio

• session-isolation

  Use when orchestrating workflows that generate multiple files (designs, reviews, reports) to prevent file collisions across concurrent or sequential sessions with unique session directories.

• task-complexity-router

  Complexity-based task routing for optimal model selection and cost efficiency. Use when deciding which model tier to use, analyzing task complexity, optimizing API costs, or implementing tiered routing. Trigger keywords - "routing", "complexity", "model selection", "tier", "cost optimization", "haik

• task-external-models

  Quick-reference for using external AI models in orchestration workflows. External models are invoked via Bash+claudish CLI (deterministic, 100% reliable). Use when confused about how to run external models, "claudish with Bash", "external model in /team", or "how to specify external model". Trigger

• task-orchestration

  Track progress in multi-phase workflows with Tasks system. Use when orchestrating 5+ phase commands, managing iteration loops, tracking parallel tasks, or providing real-time progress visibility. Trigger keywords - "phase tracking", "progress", "workflow", "multi-step", "multi-phase", "tasks", "trac

Slash commands (1)

• /multimodel:team

  Multi-model blind voting system with project memory. Runs tasks across AI models in parallel, collects independent votes (APPROVE/REJECT), and presents aggregated verdicts with performance tracking. Internal models use Task (dev:researcher). External models use Bash (claudish --model). Examples: "/t

Hooks (2)

• PreToolUse

  bash "${CLAUDE_PLUGIN_ROOT}/hooks/enforce-team-rules.sh"

• PreToolUse

  bash "${CLAUDE_PLUGIN_ROOT}/hooks/enforce-team-rules.sh"

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