agent-usage-optimizer-what-it-does
About
This skill optimizes AI agent usage by analyzing cached quota data to recommend the best provider for each task. It displays remaining quotas, applies routing rules based on task complexity, and flags critically low providers. Use it as a pre-gate check in `/work run` to ensure efficient resource allocation.
Quick Install
Claude Code
Recommendednpx skills add vamseeachanta/workspace-hub/plugin add https://github.com/vamseeachanta/workspace-hubgit clone https://github.com/vamseeachanta/workspace-hub.git ~/.claude/skills/agent-usage-optimizer-what-it-doesCopy and paste this command in Claude Code to install this skill
Documentation
What It Does
What It Does
- Reads
~/.cache/agent-quota.json— no external calls if cache age < 1 hour - Displays quota headroom per provider: % remaining + estimated hours to daily reset
- Applies routing rules based on quota state and task complexity
- Recommends primary + secondary provider with rationale
- Flags any provider critically low (< 20% remaining)
- Shows as pre-gate output before the plan gate when used with
/work run
GitHub Repository
Related Skills
algorithmic-art
MetaThis Claude Skill creates original algorithmic art using p5.js with seeded randomness and interactive parameters. It generates .md files for algorithmic philosophies, plus .html and .js files for interactive generative art implementations. Use it when developers need to create flow fields, particle systems, or other computational art while avoiding copyright issues.
subagent-driven-development
DevelopmentThis skill executes implementation plans by dispatching a fresh subagent for each independent task, with code review between tasks. It enables fast iteration while maintaining quality gates through this review process. Use it when working on mostly independent tasks within the same session to ensure continuous progress with built-in quality checks.
executing-plans
DesignUse the executing-plans skill when you have a complete implementation plan to execute in controlled batches with review checkpoints. It loads and critically reviews the plan, then executes tasks in small batches (default 3 tasks) while reporting progress between each batch for architect review. This ensures systematic implementation with built-in quality control checkpoints.
cost-optimization
OtherThis Claude Skill helps developers optimize cloud costs through resource rightsizing, tagging strategies, and spending analysis. It provides a framework for reducing cloud expenses and implementing cost governance across AWS, Azure, and GCP. Use it when you need to analyze infrastructure costs, right-size resources, or meet budget constraints.
