What is neural-patterns?

A coordination-training command that records and analyzes successful task patterns for an AI agent system. It covers patterns for searching, editing files, breaking down tasks, and coordinating agents.

Use it to train coordination patterns, inspect learned pattern scores, and review how recent edits or tasks were handled.

It uses past successful work to identify patterns that may improve later coordination. It also provides commands for training, checking status, and analyzing recent operations.

neural-patterns — Command for Claude Code by nmime: A coordination-training command that records and analyzes successful task…

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add commands/nmime/motiv-buy/neural-patterns

Clone the repo

git clone --depth 1 https://github.com/nmime/motiv-buy

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/commands/nmime/motiv-buy/neural-patterns.svg)](https://agentmods.dev/commands/nmime/motiv-buy/neural-patterns)

Your own site

<a href="https://agentmods.dev/commands/nmime/motiv-buy/neural-patterns"><img src="https://agentmods.dev/badge/commands/nmime/motiv-buy/neural-patterns.svg" alt="Measured on agentmods" height="20"></a>

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 400 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin 92% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.00400
Opus 5	$0.00000	$0.00200
Sonnet 5	$0.00000	$0.00080
Haiku 4.5	$0.00000	$0.00040

Measured yesterday against content hash bf3f60e147bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

neural-patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

92% identical to neural-patterns — 41 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/commands/training/neural-patterns.md · 84 lines

What it actually says

Neural Pattern Training

Purpose

Continuously improve coordination through neural network learning.

How Training Works

1. Automatic Learning

Every successful operation trains the neural networks:

Edit patterns for different file types
Search strategies that find results faster
Task decomposition approaches
Agent coordination patterns

2. Manual Training

Tool: mcp__claude-flow__neural_train
Parameters: {
  "pattern_type": "coordination",
  "training_data": "successful task patterns",
  "epochs": 50
}

3. Pattern Types

Cognitive Patterns:

Convergent: Focused problem-solving
Divergent: Creative exploration
Lateral: Alternative approaches
Systems: Holistic thinking
Critical: Analytical evaluation
Abstract: High-level design

4. Improvement Tracking

Tool: mcp__claude-flow__neural_status
Result: {
  "patterns": {
    "convergent": 0.92,
    "divergent": 0.87,
    "lateral": 0.85
  },
  "improvement": "5.3% since last session",
  "confidence": 0.89
}

Pattern Analysis

Tool: mcp__claude-flow__neural_patterns
Parameters: {
  "action": "analyze",
  "operation": "recent_edits"
}

Benefits

🧠 Learns your coding style
📈 Improves with each use
🎯 Better task predictions
⚡ Faster coordination

CLI Usage

# Train neural patterns via CLI
npx claude-flow neural train --type coordination --epochs 50

# Check neural status
npx claude-flow neural status

# Analyze patterns
npx claude-flow neural patterns --analyze

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

yesterday First seen · 84 lines · 0 tokens per session scan A bf3f60e147bc

Subscribe to this mod's changes

neural-patterns is a command published in the GitHub repository nmime/motiv-buy (0 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 400 tokens. A static security scan graded it A with 0 findings. It is 92% identical to neural-patterns, differing in 41 lines, and is treated as a copy.

Analytics and metrics Building agents

neural-patterns