Route prompts to optimal frontier models usingtask-specific guidance and checklists.
npx skills add https://github.com/markusstrasser/skills --skill model-guide
Please help me install this Agent Skill. Skill: model-guide Source: https://github.com/markusstrasser/skills/tree/main/model-guide Command: npx skills add https://github.com/markusstrasser/skills --skill model-guide
Helps teams select the most suitable frontier model for a task (Claude Opus 4.6, Claude Sonnet 4.6, GPT-5.2, Gemini 3.1 Pro, Kimi K2.5) and prompt it effectively, reducing misaligned outputs and inefficient tool use.
Review the Quick Selection Matrix and craft model-specific prompts to route tasks to the best-performing model
High-intent search queries and answers about installing and using this skill.
To choose the best frontier model, use a quick selection matrix that maps task types like agentic coding or fact-sensitive work to specific models such as Claude Opus 4.6 or GPT-5.2, ensuring optimal performance and reducing misaligned outputs.
Model profiles provide detailed strengths and weaknesses for Claude Sonnet 4.6 and Gemini 3.1 Pro. Reviewing these guides helps teams understand tradeoffs and select the right model for their specific prompting and task requirements.
Prompting GPT-5.2 effectively for agentic coding requires applying model-specific best practices and real-world prompt templates. These guides route prompts to the best-performing model and help avoid known pitfalls during generation.
Yes, you can orchestrate multiple frontier models like Claude and Kimi K2.5 using multi-model orchestration patterns. These patterns provide governance guidance and validation checklists to optimize cross-model workflows efficiently.
Common pitfalls when switching between frontier AI models include misaligned outputs and inefficient tool use. Validation checklists and known usage patterns help identify these limitations and ensure tasks are routed to the correct model.
kwoekelAnalyze prompt quality and provide prompting patterns for LLM interactions.
understudylabsCompare local MLX models against frontier gateways on latency, cost, and quality.
AgentientCoordinate 9 research patterns across three AI models to generate prompts and consolidation manifests.
AradotsoRoute prompts across OpenAI and Anthropic models to minimize cost.
