Agent skill for performance-optimizer - invoke with $agent-performance-optimizer
Install with Tessl CLI
npx tessl i github:ruvnet/claude-flow --skill agent-performance-optimizer44
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillEvaluation — 97%
↑ 19.39xAgent success when using this skill
Validation for skill structure
Sublinear 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%
Without context: $0.4429 · 1m 38s · 16 turns · 1,693 in / 5,759 out tokens
With context: $0.5134 · 2m 8s · 22 turns · 139 in / 7,495 out tokens
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%
Without context: $0.9851 · 5m 17s · 27 turns · 34 in / 19,743 out tokens
With context: $0.4640 · 1m 59s · 18 turns · 269 in / 7,109 out tokens
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%
Without context: $0.5098 · 2m 52s · 21 turns · 26 in / 10,618 out tokens
With context: $0.4562 · 1m 59s · 20 turns · 273 in / 6,269 out tokens
Table of Contents
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