agent-usage-optimizer-complexity-tier-model-mapping
About
This skill provides a model selection guide based on task complexity, mapping routine tasks to Haiku, standard tasks to Sonnet, and complex tasks to Opus. It helps developers optimize costs by routing simpler tasks to cheaper models while reserving powerful models for demanding work. Use it alongside route mapping when the task nature is clear to close the gap between theoretical and observed implementation efficiency.
Quick Install
Claude Code
Recommendednpx skills add vamseeachanta/workspace-hub -a claude-code/plugin add https://github.com/vamseeachanta/workspace-hubgit clone https://github.com/vamseeachanta/workspace-hub.git ~/.claude/skills/agent-usage-optimizer-complexity-tier-model-mappingCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the agent-usage-optimizer-complexity-tier-model-mapping skill?
agent-usage-optimizer-complexity-tier-model-mapping is a Claude Skill by vamseeachanta. Skills package instructions and resources that Claude loads on demand, so Claude can perform agent-usage-optimizer-complexity-tier-model-mapping-related tasks without extra prompting.
How do I install agent-usage-optimizer-complexity-tier-model-mapping?
Use the install commands on this page: add agent-usage-optimizer-complexity-tier-model-mapping to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does agent-usage-optimizer-complexity-tier-model-mapping belong to?
agent-usage-optimizer-complexity-tier-model-mapping is in the ai category, tagged general.
Is agent-usage-optimizer-complexity-tier-model-mapping free to use?
Yes. agent-usage-optimizer-complexity-tier-model-mapping is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
Related Skills
This skill optimizes AI model selection by reading quota states and recommending the best Claude/Codex/Gemini allocation for each task. It provides quota-aware routing and headroom displays, making it ideal for work sessions with multiple queued items or when approaching quota limits. Developers should use it before starting sessions with 3+ work items or when Claude quotas drop below 50% remaining.
This skill provides automated model selection guidance for Claude Code based on task complexity, cost, and latency needs. It offers a decision tree and quick reference table to help developers choose between Opus, Sonnet, and Haiku models efficiently. Use it when starting new tasks to optimize performance and resource usage.
This skill displays remaining API quota percentages for different AI providers in a formatted table with color-coded status indicators. It helps developers choose the most appropriate model based on availability and recommended use cases. The output includes cache freshness information and visual status thresholds for quick quota assessment.
This skill provides default AI model routing logic for different coding task complexities, independent of quota limits. It maps simple tasks to Codex, standard tasks to Claude Sonnet, and complex architectural work to Claude Opus, with fallback options specified. Developers should use this as the baseline configuration for optimizing AI agent usage in their coding workflows.