agent-usage-optimizer-complexity-tier-model-mapping
Sub-skill of agent-usage-optimizer: Complexity Tier → Model Mapping.
Best use case
agent-usage-optimizer-complexity-tier-model-mapping is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of agent-usage-optimizer: Complexity Tier → Model Mapping.
Teams using agent-usage-optimizer-complexity-tier-model-mapping should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/complexity-tier-model-mapping/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agent-usage-optimizer-complexity-tier-model-mapping Compares
| Feature / Agent | agent-usage-optimizer-complexity-tier-model-mapping | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of agent-usage-optimizer: Complexity Tier → Model Mapping.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Complexity Tier → Model Mapping ## Complexity Tier → Model Mapping Use this alongside Route mapping when task nature is clear: | Complexity tier | Keywords | Recommended model | |----------------|----------|------------------| | `routine` | format, rename, config, scaffold, update-doc, copy | Codex Haiku | | `standard` | implement, review, test, fix, migrate, document | Codex Sonnet | | `complex` | architecture, design, cross-repo, security, compound | Codex Opus | **Key insight**: the gap between theoretical and observed exposure is an implementation gap — not a capability gap. Routing routine tasks to cheaper models closes this gap for our workflow. See WRK-5002 to automate tier detection in `task_classifier.sh`. --- *Use this skill before any multi-item work session or when quota is a concern.* *Related: `ai/optimization/model-selection`, `ai/optimization/usage-optimization`*
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