Agent skill for performance-optimizer - invoke with $agent-performance-optimizer
35
0%
Does it follow best practices?
Impact
97%
19.39xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./.agents/skills/agent-performance-optimizer/SKILL.mdSublinear solver resource allocation parameters
Uses solve tool
0%
100%
Solve method: neumann
0%
100%
Solve epsilon 1e-8
0%
100%
Solve maxIterations 1000
0%
100%
Matrix format field
0%
100%
Matrix rows/cols fields
0%
100%
Uses analyzeMatrix tool
0%
100%
checkDominance: true
0%
100%
estimateCondition: true
0%
100%
computeGap: true
0%
100%
Matrix and vector passed
0%
100%
Bottleneck estimation and optimization validation
Uses estimateEntry tool
0%
100%
estimateEntry method: random-walk
0%
100%
estimateEntry epsilon 1e-6
0%
100%
estimateEntry confidence 0.95
0%
100%
Parallel estimation with Promise.all
33%
100%
Uses validateTemporalAdvantage
0%
100%
validateTemporalAdvantage distanceKm 1000
0%
100%
validateTemporalAdvantage size param
0%
100%
Load balance solve method: random-walk
0%
100%
Load balance epsilon 1e-6
0%
100%
Load balance maxIterations 500
0%
100%
Flow Nexus sandbox configuration and neural training
Uses sandbox_create tool
0%
100%
Template: python
0%
100%
OPTIMIZATION_MODE env var
0%
100%
MONITORING_INTERVAL env var
0%
0%
RESOURCE_THRESHOLD env var
0%
100%
Required packages
50%
100%
Uses sandbox_execute with language python
0%
100%
80% threshold trigger
71%
100%
Uses neural_train tool
0%
100%
LSTM architecture
0%
100%
Dropout layer
0%
100%
Training hyperparameters
37%
100%
Tier medium
0%
100%
f547cec
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.