What is agent-model-selection?
Guidelines for selecting appropriate language models for agents based on task-specific benchmarks, availability, and cost efficiency. Source: oocx/tfplan2md.
Guidelines for selecting appropriate language models for agents based on task-specific benchmarks, availability, and cost efficiency.
Quickly install agent-model-selection AI skill to your development environment via command line
Source: oocx/tfplan2md.
Purpose Provides data-driven guidance for selecting the most appropriate language model when creating or modifying agent definitions.
CAPIError: 400 The requested model is not supported error (confirmed by experiment)
Guidelines for selecting appropriate language models for agents based on task-specific benchmarks, availability, and cost efficiency. Source: oocx/tfplan2md.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/oocx/tfplan2md --skill agent-model-selection Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
Stable fields and commands for AI/search citations.
npx skills add https://github.com/oocx/tfplan2md --skill agent-model-selectionGuidelines for selecting appropriate language models for agents based on task-specific benchmarks, availability, and cost efficiency. Source: oocx/tfplan2md.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/oocx/tfplan2md --skill agent-model-selection Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/oocx/tfplan2md