detecting-performance-regressions

Featured

Compare current benchmark results against historical baselines to spot performance regressions. Use as an explicit/manual helper for build-to-build degradation review, not for broad optimization strategy or low-level profiling ownership.

AI & Automation 2,502 stars 184 forks Updated 6 days ago Apache-2.0

Install

View on GitHub

Quality Score: 97/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
47
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Performance Regression Detector ## Positioning Treat this skill as an explicit/manual helper for benchmark comparison work. ## When to Use Use this skill when: - Identify performance regressions in a CI/CD pipeline. - Analyze performance metrics for potential degradation. - Compare current performance against historical baselines. ## Not For / Boundaries - Broad optimization roadmap or tuning backlog: use `providing-performance-optimization-advice` - Root-cause debugging of a specific slow path: use `systematic-debugging` - General test artifact packaging without regression judgment: use `generating-test-reports` ## Typical Outputs - A baseline-vs-current regression summary - Severity-ranked regressed metrics - Follow-up questions for deeper profiling or investigation ## Related Skills - `performance-testing` for benchmark generation - `providing-performance-optimization-advice` after the regression is confirmed

Details

Author
foryourhealth111-pixel
Repository
foryourhealth111-pixel/Vibe-Skills
Created
5 months ago
Last Updated
6 days ago
Language
Python
License
Apache-2.0

Similar Skills

Semantically similar based on skill content — not just same category