Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Dynamic Model Selector
Dynamically select the best AI model for a task based on complexity, cost, and availability in GitHub Copilot. Use when deciding between free/paid models, or when you want automatic model routing based on query analysis.
skill openclawclawhub Free
Dynamically select the best AI model for a task based on complexity, cost, and availability in GitHub Copilot. Use when deciding between free/paid models, or when you want automatic model routing based on query analysis.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/models.md, scripts/classify_task.py
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.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- 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
- 1.0.0
Provenance
- Publisher
- mpelissari
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Overview
This skill analyzes user queries to recommend the optimal AI model from available GitHub Copilot options, balancing performance, cost, and task requirements.
How to Use
Provide the user query or task description. Run the classification script to analyze complexity. Choose the suggested model or adjust based on preferences.
Classification Criteria
Simple tasks (short responses, basic chat): Use faster, free models like grok-code-fast-1. Complex reasoning (analysis, multi-step): Use advanced models like gpt-4o or claude-3.5-sonnet. Code generation: Prefer code-optimized models. Cost sensitivity: Favor free models when possible.
Example Usage
For a query like "Explain quantum computing": Classify as medium complexity -> Recommend gpt-4o. For "Write a Python function to sort a list": Classify as code task -> Recommend grok-code-fast-1.
scripts/
classify_task.py: Analyzes the query and outputs model recommendation.
references/
models.md: Detailed list of available models, pros/cons, costs.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts
- SKILL.md
- references/models.md
- scripts/classify_task.py