What does the Performance Baseline Manager do?

It manages performance test results by storing metrics and metadata in a structured JSON format for specific software versions to facilitate easy comparison.

What information is included in a baseline file?

Each baseline records specific performance metrics along with relevant environment metadata to ensure benchmark results are contextualized and reproducible.

How are the performance baselines stored?

Baselines are stored within the state directory under /perf/baselines/, using the version number as the filename (e.g., 1.0.0.json).

Does this skill follow a specific standard?

Yes, it is designed to follow the requirements defined in docs/perf-requirements.md as the canonical contract for performance management.

Can I have multiple baselines for the same version?

No, the skill enforces a constraint that ensures only one baseline JSON exists per version. If a new baseline is created for an existing version, the older file is overwritten.

Performance Baseline Manager

Name: Performance Baseline Manager
Author: avifenesh

byavifenesh

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311

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分析と監視

Manages and compares performance test baselines to track version-over-version metrics and environment metadata.

The Performance Baseline Manager skill automates the organization and storage of performance metrics for software projects within Claude Code. It ensures consistent tracking by enforcing a strict one-baseline-per-version rule, storing results as structured JSON files that include both performance metrics and critical environment metadata. This skill is essential for developers who need to monitor regressions, consolidate performance test results, and maintain a historical record of system performance across different software versions, following the canonical requirements defined in your project documentation.

主な機能

01Automated performance baseline storage and organization

02Version-specific JSON file management for metrics

03311 GitHub stars

04Strict enforcement of single-file-per-version constraints

05Environmental metadata recording for reproducible benchmarks

06Standardized output reporting for performance comparisons

ユースケース

01Comparing performance metrics between different software releases

02Detecting performance regressions during the development lifecycle

03Consolidating benchmark results into a centralized state directory

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add avifenesh/awesome-slash baseline

For use in Claude.ai and ChatGPT

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