Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
54
37%
Does it follow best practices?
Impact
79%
2.07xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./.agents/skills/flow-nexus-neural/SKILL.mdSingle-node neural training configuration
Correct train function
0%
0%
Valid architecture type
0%
100%
Valid tier for prototyping
0%
100%
Training optimizer
100%
100%
Training epochs
100%
100%
Training batch_size
40%
100%
Training learning_rate
40%
100%
Divergent enabled
0%
0%
Valid divergent pattern
0%
0%
Divergent factor
0%
0%
Training status check
0%
0%
Correct predict function
0%
0%
Distributed cluster setup and orchestration
Correct cluster init function
50%
75%
Valid cluster topology
100%
100%
Valid consensus mechanism
100%
100%
daaEnabled set
100%
100%
wasmOptimization set
100%
100%
Parameter server node
100%
100%
Worker node
100%
100%
Aggregator node
100%
100%
Cluster connect call
100%
100%
Distributed train function
55%
77%
Valid optimizer in distributed train
100%
100%
Cluster status monitoring
100%
100%
Cluster terminate call
100%
100%
Federated learning and model lifecycle management
Federated flag set
0%
100%
aggregation_rounds configured
0%
100%
min_nodes_per_round configured
0%
100%
proof-of-learning consensus
0%
100%
Worker autonomy set
0%
100%
daaEnabled for federated cluster
0%
100%
Status monitoring call
40%
100%
Performance benchmark
0%
100%
Validation workflow
0%
100%
Publish template function
0%
100%
Publish category set
83%
100%
398f7c2
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.