implementing-performance-fixes
CommunityIterative fixes evaluated by benchmarks.
Authorantonykamp
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill automates end-to-end performance tuning by iteratively applying fixes derived from performance theories to improve benchmark results and stability.
Core Features & Use Cases
- End-to-end performance tuning: load theories, select pending theories by impact, and apply fixes in a controlled, reversible manner.
- Benchmark-driven validation: run standardized benchmarks, compare against BENCHMARK_BASELINE.md, and decide on progression or rollback.
- Tiered automation: automatically escalate to broad-performance-investigation when all theories at the current tier fail, enabling continuous optimization.
Quick Start
Load the current tier's PERFORMANCE_THEORIES.md, plan and implement fixes using BEST_PRACTICES.md, run benchmarks, and proceed to the next pending theory if needed.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: implementing-performance-fixes Download link: https://github.com/antonykamp/cc-truffle-performance-plugin/archive/main.zip#implementing-performance-fixes Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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