Summary
- Analyze chatmode or prompt files to recommend optimal AI models based on task complexity, capabilities, and cost-efficiency.
- Evaluates .agent.md and .prompt.md files across eight task categories (simple repetitive, code generation, refactoring, debugging, planning, code review, domain-specific, advanced reasoning) to determine complexity and reasoning depth requirements Compares 14 available models (GPT-4.1, GPT-5, Claude Sonnet variants, Gemini, Grok, deprecated o3/o4-mini) using a decision tree that factors in context window size, vision support, code quality, and reasoning capabilities Provides primary recommendation plus alternatives with explicit trade-off analysis, cost multiplier implications for Free/Pro/Pro+ subscription tiers, and deprecation migration paths Generates structured markdown reports with model comparison tables, auto-selection suitability assessment, frontmatter update guidance, and Context7 verification for current model documentation