agent-neural-network

Agent skill for neural-network - invoke with $agent-neural-network

Install with Tessl CLI

npx tessl i github:ruvnet/claude-flow --skill agent-neural-network

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Review — 18%

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Validation — 11 / 11 Passed

Validation for skill structure

SKILL.md

Review

Evals

Evaluation results

89%

10%

Customer Churn Prediction Model

neural_train API configuration and layer structure

Criteria

Without context

With context

neural_train call

33%

66%

config wrapper

100%

architecture type field

100%

layers array present

100%

dense layer fields

25%

100%

dropout layer fields

100%

training sub-object

100%

adam optimizer

100%

tier parameter

100%

softmax output layer

model_design.md produced

100%

Without context: $1.6196 · 5m 25s · 43 turns · 48 in / 9,225 out tokens

With context: $0.3609 · 1m 26s · 20 turns · 273 in / 4,372 out tokens

100%

44%

Large-Scale Document Summarization Training Setup

Distributed cluster initialization and ML workflow

Criteria

Without context

With context

neural_cluster_init call

100%

name field

100%

architecture field

100%

mesh topology

100%

proof-of-learning consensus

100%

workflow: problem analysis

100%

workflow: architecture design

100%

workflow: resource planning

100%

workflow: training orchestration

100%

workflow: model validation

100%

workflow: deployment management

100%

fault tolerance mention

100%

transformer architecture chosen

100%

Without context: $0.2349 · 1m 46s · 11 turns · 16 in / 5,237 out tokens

With context: $0.3803 · 1m 40s · 21 turns · 183 in / 4,763 out tokens

100%

55%

Medical Image Classification Inference Service

Inference API usage and model deployment

Criteria

Without context

With context

neural_predict call

100%

model_id field

20%

100%

user_id field

50%

100%

nested array input

100%

access controls checklist

100%

model compression/optimization

100%

monitoring setup

100%

documentation requirement

100%

input comment explaining format

100%

correct input length

100%

checklist uses checkbox syntax

100%

Without context: $0.4715 · 2m 2s · 27 turns · 32 in / 5,895 out tokens

With context: $0.2388 · 1m 3s · 14 turns · 19 in / 3,181 out tokens

Evaluated: about 22 hours ago
Agent: Claude Code

Table of Contents

Customer Churn Prediction Model Large-Scale Document Summarization Training Setup Medical Image Classification Inference Service

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