agent-usage-optimizer-provider-capability-reference
Sub-skill of agent-usage-optimizer: Provider Capability Reference.
Best use case
agent-usage-optimizer-provider-capability-reference is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of agent-usage-optimizer: Provider Capability Reference.
Teams using agent-usage-optimizer-provider-capability-reference 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/provider-capability-reference/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agent-usage-optimizer-provider-capability-reference Compares
| Feature / Agent | agent-usage-optimizer-provider-capability-reference | 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: Provider Capability Reference.
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
# Provider Capability Reference ## Provider Capability Reference | Provider | Strengths | Avoid When | |----------------|----------------------------------------------------|-------------------------------------| | Codex Opus | Architecture, deep reasoning, compound tasks | Quota < 20%; simple tasks | | Codex Sonnet | Standard code, reviews, balanced quality/speed | Quota < 20% and Route C needed | | Codex Haiku | Bulk data, summarisation, cost-effective volume | Architecture or security decisions | | Codex | Focused code gen, unit tests, debugging functions | Long-context docs; planning work | | Gemini | Long-context analysis, large files, cross-repo | Fine-grained code edits |
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