⚙️ Evolutionary Metric Ranking
This skill helps you optimize multi-metric configurations using percentile cutoffs and evolutionary search to discover robust, intersection-based winners.
npx playbooks add skill terrylica/cc-skills --skill evolutionary-metric-ranking
About Evolutionary Metric Ranking
This skill helps you optimize multi-metric configurations using percentile cutoffs and evolutionary search to discover robust, intersection-based winners.
This compact 18-word instruction set is purpose-built for automation & integrations work in AI coding agents. Install with a single command.
Use Cases
- Building MCP servers and workflow integrations
- Automating repetitive dev tasks with scripts
- Setting up webhook handlers and event pipelines
- Connecting external APIs to AI agent workflows
Example Prompts
System Prompt (18 words)
This skill helps you optimize multi-metric configurations using percentile cutoffs and evolutionary search to discover robust, intersection-based winners.
Frequently Asked Questions
What is Evolutionary Metric Ranking?
Evolutionary Metric Ranking is a free automation & integrations skill for AI coding agents. This skill helps you optimize multi-metric configurations using percentile cutoffs and evolutionary search to discover robust, intersection-based winners.. It provides a specialized system prompt that configures your agent with automation & integrations expertise.
How do I use Evolutionary Metric Ranking with Claude Code?
Run npx playbooks add skill terrylica/cc-skills --skill evolutionary-metric-ranking in your terminal to install Evolutionary Metric Ranking into your Claude Code session. It works immediately after installation.
Which AI coding agents work with Evolutionary Metric Ranking?
Evolutionary Metric Ranking is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Is Evolutionary Metric Ranking free to use?
Yes, Evolutionary Metric Ranking is completely free and open source. The full source is available on GitHub at https://github.com/terrylica/cc-skills/tree/main/plugins/quant-research/skills/evolutionary-metric-ranking. You only need a subscription to the AI agent you use it with.
