agent-safla-neural

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

Install with Tessl CLI

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

What are skills?

3.03x

Review — 11%

Does it follow best practices?

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npx tessl skill review --optimize ./path/to/skill

Learn more

Evaluation — 100%

↑ 3.03x

Agent success when using this skill

Validation — 11 / 11 Passed

Validation for skill structure

SKILL.md

Review

Evals

Evaluation results

100%

38%

AI Memory System Architecture

Four-tier memory architecture design

Criteria

Without context

With context

Vector Memory named

100%

Episodic Memory named

100%

Semantic Memory named

100%

Working Memory named

100%

Vector retrieval method

100%

Vector cross-domain

100%

Episodic history

100%

Episodic temporal

100%

Semantic factual

100%

Working Memory scope

100%

All four tiers present

100%

Without context: $0.2920 · 1m 42s · 13 turns · 20 in / 5,526 out tokens

With context: $0.5560 · 2m 38s · 24 turns · 32 in / 9,001 out tokens

100%

81%

Multi-Agent Coordination Neural Training Setup

Neural training MCP initialization

Criteria

Without context

With context

Correct MCP function

26%

100%

pattern_type coordination

100%

safla-transformer architecture

100%

memory_tiers vector

100%

memory_tiers episodic

100%

memory_tiers semantic

100%

memory_tiers working

100%

feedback_loops enabled

100%

persistence enabled

100%

epochs count

100%

Without context: $0.6385 · 4m 12s · 37 turns · 41 in / 6,272 out tokens

With context: $0.3209 · 1m 16s · 22 turns · 135 in / 3,888 out tokens

100%

82%

AI Interaction Pattern Logger

Memory pattern storage MCP call

Criteria

Without context

With context

Correct MCP function

100%

action store

100%

Correct namespace

100%

Key prefix pattern

100%

Key includes timestamp

100%

Value context field

100%

Value outcome field

100%

Value learning field

100%

Value confidence field

100%

TTL 604800

100%

Without context: $0.5914 · 3m 58s · 34 turns · 37 in / 6,974 out tokens

With context: $0.3541 · 1m 18s · 21 turns · 310 in / 4,105 out tokens

Evaluated: 3 days ago
Agent: Claude Code
Model: Unknown

Table of Contents

AI Memory System Architecture Multi-Agent Coordination Neural Training Setup AI Interaction Pattern Logger

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