Compute quality gradients from metrics to identify optimization focus areas.
npx skills add https://github.com/plurigrid/asi --skill excellence-gradient
Please help me install this Agent Skill. Skill: excellence-gradient Source: https://github.com/plurigrid/asi/tree/main/skills/excellence-gradient Command: npx skills add https://github.com/plurigrid/asi --skill excellence-gradient
Quality gates can block momentum. Excellence-gradient treats quality as a continuous gradient and provides measurable targets to descend toward the ideal with minimal friction.
Compute an excellence temperature τ from current metrics and plan a gradient step to improve the worst metric.
High-intent search queries and answers about installing and using this skill.
Measure software quality by collecting metrics on code coverage, latency, satisfaction, debt ratio, defect rate, and documentation. Excellence-gradient normalizes these signals and computes a gradient to identify which metrics need the most improvement, guiding your optimization efforts systematically.
Quality gates block progress when thresholds fail, creating friction. Gradient-based validation treats quality as continuous, measuring distance to ideal and planning incremental steps to improve. This balances validation cost against value protected without halting momentum.
Excellence-gradient implements a descent protocol that analyzes your current metrics—coverage, latency, debt, defects, and documentation—to determine which single metric represents the worst deviation from ideal. Focusing on the steepest gradient first maximizes impact per improvement cycle.
Yes. Excellence-gradient includes anti-pattern detection that surfaces actionable quality risks across coding, testing, release, and maintenance workflows. This helps teams surface hidden problems before they compound into larger technical debt.
Excellence-gradient continuously measures coverage, latency, satisfaction, debt ratio, defect rate, and documentation. It normalizes these signals to create an excellence temperature and guides improvement across coding, testing, release, and maintenance phases.
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