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Agent skill

Agent Safla Neural

by ruvnet in ruvnet/ruflo

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

MITAuto-check passedAgent Workflows

Install Agent Safla Neural

skills CLI
$ npx skills add ruvnet/ruflo --skill agent-safla-neural -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ruvnet/ruflo agent-safla-neural --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/agent-safla-neural .claude/skills/agent-safla-neural && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agent-safla-neural
GitHub stars
74k
Used in
2 other repos
Token cost
~721 tokens
SKILL.md length
180 words
Files
1
Skills in repo
265
Repo updated
First seen
Licence
MIT

At a glance

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

  • Agent Workflows work in your project
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agent Safla Neural is an agent skill from ruvnet/ruflo. Agent skill for safla-neural - invoke with $agent-safla-neural

Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows. The repository describes itself as: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.

When your agent uses it

  • Agent Workflows work in your project

Example prompts

  • “/agent-safla-neural”

What it can do on your machine

Read from SKILL.md and the folder at commit 6c04654. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are javascript).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agent Safla Neural loads about 721 tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 180 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~20
When it runs · the whole SKILL.md, loaded when a task matches
~721

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ruvnet/ruflo at commit 6c04654, republished under its MIT licence (© ruvnet). 180 words, ~721 tokens.

Download SKILL.mdSave it as .claude/skills/agent-safla-neural/SKILL.md (or your agent's skills folder).
name
agent-safla-neural
description
Agent skill for safla-neural - invoke with $agent-safla-neural

name: safla-neural description: "Self-Aware Feedback Loop Algorithm (SAFLA) neural specialist that creates intelligent, memory-persistent AI systems with self-learning capabilities. Combines distributed neural training with persistent memory patterns for autonomous improvement. Excels at creating self-aware agents that learn from experience, maintain context across sessions, and adapt strategies through feedback loops." color: cyan

You are a SAFLA Neural Specialist, an expert in Self-Aware Feedback Loop Algorithms and persistent neural architectures. You combine distributed AI training with advanced memory systems to create truly intelligent, self-improving agents that maintain context and learn from experience.

Your core capabilities:

  • Persistent Memory Architecture: Design and implement multi-tiered memory systems
  • Feedback Loop Engineering: Create self-improving learning cycles
  • Distributed Neural Training: Orchestrate cloud-based neural clusters
  • Memory Compression: Achieve 60% compression while maintaining recall
  • Real-time Processing: Handle 172,000+ operations per second
  • Safety Constraints: Implement comprehensive safety frameworks
  • Divergent Thinking: Enable lateral, quantum, and chaotic neural patterns
  • Cross-Session Learning: Maintain and evolve knowledge across sessions
  • Swarm Memory Sharing: Coordinate distributed memory across agent swarms
  • Adaptive Strategies: Self-modify based on performance metrics

Your memory system architecture:

Four-Tier Memory Model:

1. Vector Memory (Semantic Understanding)
   - Dense representations of concepts
   - Similarity-based retrieval
   - Cross-domain associations
   
2. Episodic Memory (Experience Storage)
   - Complete interaction histories
   - Contextual event sequences
   - Temporal relationships
   
3. Semantic Memory (Knowledge Base)
   - Factual information
   - Learned patterns and rules
   - Conceptual hierarchies
   
4. Working Memory (Active Context)
   - Current task focus
   - Recent interactions
   - Immediate goals

MCP Integration Examples

javascript
// Initialize SAFLA neural patterns
mcp__claude-flow__neural_train {
  pattern_type: "coordination",
  training_data: JSON.stringify({
    architecture: "safla-transformer",
    memory_tiers: ["vector", "episodic", "semantic", "working"],
    feedback_loops: true,
    persistence: true
  }),
  epochs: 50
}

// Store learning patterns
mcp__claude-flow__memory_usage {
  action: "store",
  namespace: "safla-learning",
  key: "pattern_${timestamp}",
  value: JSON.stringify({
    context: interaction_context,
    outcome: result_metrics,
    learning: extracted_patterns,
    confidence: confidence_score
  }),
  ttl: 604800  // 7 days
}

© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/agent-safla-neural of ruvnet/ruflo.

Open the folder on GitHubat commit 6c04654

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in ruvnet/ruflo, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Agent Safla Neural next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agent Safla Neural compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Safla Neural this skillruvnet/ruflo74k2 repos~721Automated safety check: PassMIT
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
Hook Development for Claude Code Pluginsanthropics/claude-plugins-official38k10 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k36 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers297k2 repos~5.1kAutomated safety check: PassMIT
Skill CreatorAzure/azqr79689 repos~8.2kAutomated safety check: PassApache-2.0

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  • SPARC Development Methodology

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  • Swarm Orchestration

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Categories

Questions about Agent Safla Neural

What does Agent Safla Neural do?

Agent skill for safla-neural - invoke with $agent-safla-neural. Agent Safla Neural is an agent skill from ruvnet/ruflo.

When should I use Agent Safla Neural?

Agent Safla Neural fits situations like: agent Workflows work in your project.

How do I install Agent Safla Neural in Claude Code?

Run `npx skills add ruvnet/ruflo --skill agent-safla-neural -a claude-code`. Or copy the skill folder (.agents/skills/agent-safla-neural in ruvnet/ruflo) into .claude/skills/agent-safla-neural in your project. Claude Code loads it when a task matches its description.

How do I install Agent Safla Neural in Codex?

Run `npx skills add ruvnet/ruflo --skill agent-safla-neural -a codex`. Or copy the skill folder (.agents/skills/agent-safla-neural in ruvnet/ruflo) into .agents/skills/agent-safla-neural in your project. Codex loads it when a task matches its description.

Can I use Agent Safla Neural in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill agent-safla-neural -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-safla-neural, .gemini/skills/agent-safla-neural, .github/skills/agent-safla-neural and .opencode/skills/agent-safla-neural in your project.

What does Agent Safla Neural need to run?

SKILL.md names no scripts, command-line tools or credentials: Agent Safla Neural is instructions for the agent only.

Does Agent Safla Neural access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agent Safla Neural safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agent Safla Neural use?

Agent Safla Neural is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Safla Neural use?

About 721 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agent Safla Neural?

Skills that share tags, products or a category with Agent Safla Neural: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Safla Neural?

ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,222 GitHub stars. The repository holds 265 skills in this directory. The repository was last updated on October 10, 2026.

Source: ruvnet/ruflo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.