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Model Switcher

Automatically switch between different AI models based on task complexity. Supports all available models in your OpenClaw setup. Triggers when detecting comp...

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Automatically switch between different AI models based on task complexity. Supports all available models in your OpenClaw setup. Triggers when detecting comp...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.2

Documentation

ClawHub primary doc Primary doc: SKILL.md 7 sections Open source page

Model Switcher

Automatically detect task complexity and switch to the appropriate model.

Model Configuration

Based on your setup: Fast model (haiku): custom-kiro-cli-vipdump-eu-org/claude-haiku-4-5 - For simple, quick tasks Powerful model (sonnet): custom-kiro-cli-vipdump-eu-org/claude-sonnet-4-5 - For complex analysis

Trigger Keywords (Chinese)

Switch to sonnet when message contains: 分析、深入分析、详细分析 重构、代码重构 架构、系统架构、设计架构 设计、系统设计 优化、性能优化 复杂、复杂问题 调试、深度调试 评估、技术评估

Workflow

Check current model using session_status Detect keywords in user message Switch if needed: Complex task detected + currently on haiku → switch to sonnet Simple task + currently on sonnet → optionally switch back to haiku Inform user briefly about the switch

Implementation

Use session_status tool with model parameter: // Switch to sonnet for complex tasks session_status({ model: "kiro-cli" }) // Switch back to haiku for simple tasks session_status({ model: "haiku" }) // Reset to default session_status({ model: "default" })

Example Detection Logic

User message: "帮我分析一下这个系统的架构" → Contains: "分析", "架构" → Action: Switch to sonnet if not already on it → Response: "🔄 切换到 sonnet 模型来处理这个复杂任务..."

Notes

Be smart about switching - don't switch for every message Batch related complex tasks on sonnet before switching back Inform user only on actual switches, not when already on correct model Consider context: if already discussing complex topic, stay on sonnet

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc