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Evolutionary percentile cutoffs for metric ranking v1.0.0
Use this resource to select the best configurations across several metrics
New
- 476 downloads
- 117 likes
- 130 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install evolutionary-metric-percentile-rankingWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent applies multi-objective optimization: percentile ranks, independent per-metric cutoffs and intersection, to keep configurations that stand out on several criteria at once. It identifies binding metrics and inert dimensions, then runs a forensic analysis. You get a shortlist of configurations and the reasons for each choice.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: principles P1 to P8 and architecture
- references/objective-functions.md: objective functions
- references/metric-design-guide.md: metric design
Good fit for
- You compare configurations on several indicators at once
- A single threshold does not separate your results
Not for
Tags
- optimization
- percentiles
- metrics
- evolutionary
About
You say
“Rank my configurations on these five metrics using percentiles and keep the intersection.”
Skill published by terrylica under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to select the best configurations across several metrics
- Review and adjust the result
Content preview
Files
- LICENSE1 KB
- NOTICE-PALATEKIT.md0.5 KB
- references/case-study-rangebar-ranking.md12.7 KB
- references/evolution-log.md0.7 KB
- references/metric-design-guide.md5.9 KB
- references/objective-functions.md8.4 KB
- SKILL.md22.5 KB
Origin and licence
Listed unmodified
- Author
- terrylica
- Source
- github.com/terrylica/cc-skills/tree/0ca36f7260a3eb5de13a1b684509c4ecd5fe819b/plugins/quant-research/skills/evolutionary-metric-ranking
- Licence
- MIT
Notice
« evolutionary-metric-ranking » (terrylica, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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