local-config-model-recommender

Intelligently recommends optimal AI models based on task requirements. Dynamically reads the user's OpenCLAW configuration and provides context-aware model suggestions. Supports all major global and domestic models including OpenAI, Claude, Gemini, DeepSeek, Kimi, Zhipu GLM, Qwen, and MiniMax.

Model Recommender

An intelligent model selection assistant that dynamically analyzes your OpenCLAW configuration and recommends the most suitable AI model for your specific task.

Overview

This skill reads your local OpenCLAW configuration to determine available models, then applies keyword-based capability matching to provide intelligent recommendations based on the task at hand.

Supported Models

Global Providers

Provider	Models
OpenAI	gpt-5-pro, gpt-4o, gpt-4o-mini, o3, o1
Anthropic Claude	claude-opus-4.6, claude-sonnet-4.6, claude-haiku-4.5
Google Gemini	gemini-3.1-pro, gemini-3.1-flash, gemini-2.5-flash
Mistral	mistral-large, mistral-small
xAI	grok-4.20-beta, grok-4-fast

Domestic (China) Providers

Provider	Models
Alibaba Qwen	qwen3-max, qwen3-vl, qwen3.5-plus, qwen3-coder-plus
MiniMax	minimax-m2.5, minimax-m2.1
DeepSeek	deepseek-v3.2, deepseek-chat, deepseek-coder
Moonshot (Kimi)	kimi-k2.5, kimi-k2
Zhipu GLM	glm-5, glm-4.7-flash, glm-4.6v
Baidu ERNIE	ernie-4.5-thinking, ernie-4.5-vl
ByteDance Seed	seed-2.0-lite, seed-2.0-mini

Capability Mapping

The skill uses keyword-based pattern matching to infer model capabilities:

Keyword	Capability	Primary Use Case
vl, vision, image, 4v, 4o	Vision/Multimodal	Image analysis, OCR, chart interpretation
code, coder, codex	Code Generation	Programming, debugging, refactoring
o1, o3, o4, reasoning, thinking	Advanced Reasoning	Mathematical reasoning, complex logic
max, pro, premium, large, opus	Premium/Tier-1	High-quality output, complex tasks
mini, small, lite, flash, haiku, nano	Lightweight	Fast response, simple tasks, cost-sensitive

Recommendation Logic

text

1. Parse ~/.openclaw/openclaw.json to extract configured models
2. Analyze user's task requirements
3. Match task to model capabilities via keyword detection
4. Return the best-matching model from available configuration
5. Fall back to default model if no specific match found

Usage Examples

User: "Which model should I use for coding?" → Recommend: minimax-m2.5, deepseek-coder, qwen3-coder-plus

User: "I need to analyze an image" → Recommend: qwen3-vl, glm-4.6v, gpt-4o, gemini-1.5-pro

User: "For complex reasoning tasks" → Recommend: o3, claude-opus-4.6, qwen3-max, gemini-3.1-pro

Notes

• Automatically adapts to your specific configuration
• Prioritizes models that are actually available in your setup
• Falls back gracefully when exact capability matches aren't found
• Supports both global (OpenAI, Claude, Gemini) and domestic (Chinese) model providers