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agent-performance-optimizer

Agent skill for performance-optimizer - invoke with $agent-performance-optimizer

35

19.39x
Quality

0%

Does it follow best practices?

Impact

97%

19.39x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./.agents/skills/agent-performance-optimizer/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

100%

100%

Compute Cluster Resource Allocation Optimizer

Sublinear solver resource allocation parameters

Criteria
Without context
With context

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%

100%

97%

Distributed System Bottleneck Analyzer and Load Balancer

Bottleneck estimation and optimization validation

Criteria
Without context
With context

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%

92%

80%

Real-Time Cloud Performance Monitoring and Prediction System

Flow Nexus sandbox configuration and neural training

Criteria
Without context
With context

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%

Repository
ruvnet/claude-flow
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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