Skill: garygou1024/local-config-model-recommender (version 1.0.0)

--- name: local-config-model-recommender description: 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 ``` 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


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)