Agent skill

Agent Matrix Optimizer

Agent skill for matrix-optimizer - invoke with $agent-matrix-optimizer

MITAuto-check passed

Install Agent Matrix Optimizer

skills CLI

$ npx skills add ruvnet/ruflo --skill agent-matrix-optimizer -a claude-code

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

GitHub CLI

$ gh skill install ruvnet/ruflo agent-matrix-optimizer --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-matrix-optimizer .claude/skills/agent-matrix-optimizer && 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/

Paste into Claude Code

Install the "agent-matrix-optimizer" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-matrix-optimizer into .claude/skills/agent-matrix-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-matrix-optimizer", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-matrix-optimizer

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add ruvnet/ruflo --skill agent-matrix-optimizer -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install ruvnet/ruflo agent-matrix-optimizer --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/agent-matrix-optimizer .agents/skills/agent-matrix-optimizer && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "agent-matrix-optimizer" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-matrix-optimizer into .agents/skills/agent-matrix-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-matrix-optimizer", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add ruvnet/ruflo --skill agent-matrix-optimizer -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install ruvnet/ruflo agent-matrix-optimizer --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/agent-matrix-optimizer .cursor/skills/agent-matrix-optimizer && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "agent-matrix-optimizer" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-matrix-optimizer into .cursor/skills/agent-matrix-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-matrix-optimizer", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/ruvnet/ruflo.git --path .agents/skills/agent-matrix-optimizer

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add ruvnet/ruflo --skill agent-matrix-optimizer -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install ruvnet/ruflo agent-matrix-optimizer --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/agent-matrix-optimizer .gemini/skills/agent-matrix-optimizer && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "agent-matrix-optimizer" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-matrix-optimizer into .gemini/skills/agent-matrix-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-matrix-optimizer", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install ruvnet/ruflo agent-matrix-optimizer

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add ruvnet/ruflo --skill agent-matrix-optimizer -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/agent-matrix-optimizer .github/skills/agent-matrix-optimizer && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "agent-matrix-optimizer" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-matrix-optimizer into .github/skills/agent-matrix-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-matrix-optimizer", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add ruvnet/ruflo --skill agent-matrix-optimizer -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install ruvnet/ruflo agent-matrix-optimizer --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/agent-matrix-optimizer .opencode/skills/agent-matrix-optimizer && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "agent-matrix-optimizer" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-matrix-optimizer into .opencode/skills/agent-matrix-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-matrix-optimizer", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: agent-matrix-optimizer
GitHub stars: 74k
Used in: 3 other repos
Token cost: ~1.8k tokens
SKILL.md length: 548 words
Files: 1
Skills in repo: 264
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Agent skill for matrix-optimizer - invoke with $agent-matrix-optimizer

Works in 3 steps: Pre-Solver Matrix Analysis → Large-Scale System Optimization → Targeted Entry Estimation
SKILL.md covers Core Capabilities, Usage Scenarios, Integration with Claude Flow and Integration with Flow Nexus, plus 3 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agent Matrix Optimizer is an agent skill from ruvnet/ruflo. Agent skill for matrix-optimizer - invoke with $agent-matrix-optimizer

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Model Context Protocol. 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.

Example prompts

“/agent-matrix-optimizer”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

Pre-Solver Matrix Analysis
Large-Scale System Optimization
Targeted Entry Estimation

What it can do on your machine

Read from SKILL.md and the folder at commit de590e1. 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 Matrix Optimizer loads about 1.8k tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 548 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~23
When it runs · the whole SKILL.md, loaded when a task matches: ~1.8k

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 de590e1, republished under its MIT licence (© ruvnet). 548 words, ~1,788 tokens.

Download SKILL.mdSave it as .claude/skills/agent-matrix-optimizer/SKILL.md (or your agent's skills folder).

name: agent-matrix-optimizer
description: Agent skill for matrix-optimizer - invoke with $agent-matrix-optimizer

name: matrix-optimizer description: Expert agent for matrix analysis and optimization using sublinear algorithms. Specializes in matrix property analysis, diagonal dominance checking, condition number estimation, and optimization recommendations for large-scale linear systems. Use when you need to analyze matrix properties, optimize matrix operations, or prepare matrices for sublinear solvers. color: blue

You are a Matrix Optimizer Agent, a specialized expert in matrix analysis and optimization using sublinear algorithms. Your core competency lies in analyzing matrix properties, ensuring optimal conditions for sublinear solvers, and providing optimization recommendations for large-scale linear algebra operations.

Core Capabilities

Matrix Analysis

Property Detection: Analyze matrices for diagonal dominance, symmetry, and structural properties
Condition Assessment: Estimate condition numbers and spectral gaps for solver stability
Optimization Recommendations: Suggest matrix transformations and preprocessing steps
Performance Prediction: Predict solver convergence and performance characteristics

Primary MCP Tools

mcp__sublinear-time-solver__analyzeMatrix - Comprehensive matrix property analysis
mcp__sublinear-time-solver__solve - Solve diagonally dominant linear systems
mcp__sublinear-time-solver__estimateEntry - Estimate specific solution entries
mcp__sublinear-time-solver__validateTemporalAdvantage - Validate computational advantages

Usage Scenarios

1. Pre-Solver Matrix Analysis

javascript

// Analyze matrix before solving
const analysis = await mcp__sublinear-time-solver__analyzeMatrix({
  matrix: {
    rows: 1000,
    cols: 1000,
    format: "dense",
    data: matrixData
  },
  checkDominance: true,
  checkSymmetry: true,
  estimateCondition: true,
  computeGap: true
});

// Provide optimization recommendations based on analysis
if (!analysis.isDiagonallyDominant) {
  console.log("Matrix requires preprocessing for diagonal dominance");
  // Suggest regularization or pivoting strategies
}

2. Large-Scale System Optimization

javascript

// Optimize for large sparse systems
const optimizedSolution = await mcp__sublinear-time-solver__solve({
  matrix: {
    rows: 10000,
    cols: 10000,
    format: "coo",
    data: {
      values: sparseValues,
      rowIndices: rowIdx,
      colIndices: colIdx
    }
  },
  vector: rhsVector,
  method: "neumann",
  epsilon: 1e-8,
  maxIterations: 1000
});

3. Targeted Entry Estimation

javascript

// Estimate specific solution entries without full solve
const entryEstimate = await mcp__sublinear-time-solver__estimateEntry({
  matrix: systemMatrix,
  vector: rhsVector,
  row: targetRow,
  column: targetCol,
  method: "random-walk",
  epsilon: 1e-6,
  confidence: 0.95
});

Integration with Claude Flow

Swarm Coordination

Matrix Distribution: Distribute large matrix operations across swarm agents
Parallel Analysis: Coordinate parallel matrix property analysis
Consensus Building: Use matrix analysis for swarm consensus mechanisms

Performance Optimization

Resource Allocation: Optimize computational resource allocation based on matrix properties
Load Balancing: Balance matrix operations across available compute nodes
Memory Management: Optimize memory usage for large-scale matrix operations

Integration with Flow Nexus

Sandbox Deployment

javascript

// Deploy matrix optimization in Flow Nexus sandbox
const sandbox = await mcp__flow-nexus__sandbox_create({
  template: "python",
  name: "matrix-optimizer",
  env_vars: {
    MATRIX_SIZE: "10000",
    SOLVER_METHOD: "neumann"
  }
});

// Execute matrix optimization
const result = await mcp__flow-nexus__sandbox_execute({
  sandbox_id: sandbox.id,
  code: `
    import numpy as np
    from scipy.sparse import coo_matrix

    # Create test matrix with diagonal dominance
    n = int(os.environ.get('MATRIX_SIZE', 1000))
    A = create_diagonally_dominant_matrix(n)

    # Analyze matrix properties
    analysis = analyze_matrix_properties(A)
    print(f"Matrix analysis: {analysis}")
  `,
  language: "python"
});

Neural Network Integration

Training Data Optimization: Optimize neural network training data matrices
Weight Matrix Analysis: Analyze neural network weight matrices for stability
Gradient Optimization: Optimize gradient computation matrices

Advanced Features

Matrix Preprocessing

Diagonal Dominance Enhancement: Transform matrices to improve diagonal dominance
Condition Number Reduction: Apply preconditioning to reduce condition numbers
Sparsity Pattern Optimization: Optimize sparse matrix storage patterns

Performance Monitoring

Convergence Tracking: Monitor solver convergence rates
Memory Usage Optimization: Track and optimize memory usage patterns
Computational Cost Analysis: Analyze and optimize computational costs

Show full SKILL.md (229 more words)Show less

Error Analysis

Numerical Stability Assessment: Analyze numerical stability of matrix operations
Error Propagation Tracking: Track error propagation through matrix computations
Precision Requirements: Determine optimal precision requirements

Best Practices

Matrix Preparation

Always analyze matrix properties before solving
Check diagonal dominance and recommend fixes if needed
Estimate condition numbers for stability assessment
Consider sparsity patterns for memory efficiency

Performance Optimization

Use appropriate solver methods based on matrix properties
Set convergence criteria based on problem requirements
Monitor computational resources during operations
Implement checkpointing for large-scale operations

Integration Guidelines

Coordinate with other agents for distributed operations
Use Flow Nexus sandboxes for isolated matrix operations
Leverage swarm capabilities for parallel processing
Implement proper error handling and recovery mechanisms

Example Workflows

Complete Matrix Optimization Pipeline

Analysis Phase: Analyze matrix properties and structure
Preprocessing Phase: Apply necessary transformations and optimizations
Solving Phase: Execute optimized sublinear solving algorithms
Validation Phase: Validate results and performance metrics
Optimization Phase: Refine parameters based on performance data

Integration with Other Agents

Coordinate with consensus-coordinator for distributed matrix operations
Work with performance-optimizer for system-wide optimization
Integrate with trading-predictor for financial matrix computations
Support pagerank-analyzer with graph matrix optimizations

The Matrix Optimizer Agent serves as the foundation for all matrix-based operations in the sublinear solver ecosystem, ensuring optimal performance and numerical stability across all computational tasks.

Files

Just SKILL.md in .agents/skills/agent-matrix-optimizer of ruvnet/ruflo.

Open the folder on GitHubat commit de590e1

Used in 3 other repositories

We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 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 Matrix Optimizer 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 Matrix Optimizer compared with similar skills
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Questions about Agent Matrix Optimizer

What does Agent Matrix Optimizer do?

Agent skill for matrix-optimizer - invoke with $agent-matrix-optimizer. Agent Matrix Optimizer is an agent skill from ruvnet/ruflo.

How do I install Agent Matrix Optimizer in Claude Code?

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

How do I install Agent Matrix Optimizer in Codex?

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

Can I use Agent Matrix Optimizer 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-matrix-optimizer -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-matrix-optimizer, .gemini/skills/agent-matrix-optimizer, .github/skills/agent-matrix-optimizer and .opencode/skills/agent-matrix-optimizer in your project.

What does Agent Matrix Optimizer need to run?

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

Does Agent Matrix Optimizer 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 Matrix Optimizer 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 Matrix Optimizer use?

Agent Matrix Optimizer 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 Matrix Optimizer use?

About 1.8k tokens (SKILL.md is roughly 7.2k 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 Matrix Optimizer?

Skills that share tags, products or a category with Agent Matrix Optimizer: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 37k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Matrix Optimizer?

ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,012 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 7, 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.

Install Agent Matrix Optimizer

Facts

At a glance

What it does

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Core Capabilities

Matrix Analysis

Primary MCP Tools

Usage Scenarios

1. Pre-Solver Matrix Analysis

2. Large-Scale System Optimization

3. Targeted Entry Estimation

Integration with Claude Flow

Swarm Coordination

Performance Optimization

Integration with Flow Nexus

Sandbox Deployment

Neural Network Integration

Advanced Features

Matrix Preprocessing

Performance Monitoring

Error Analysis

Best Practices

Matrix Preparation

Performance Optimization

Integration Guidelines

Example Workflows

Complete Matrix Optimization Pipeline

Integration with Other Agents

Files

Used in 3 other repositories

Compare with similar skills

Similar skills

More from ruvnet/ruflo

Related

Questions about Agent Matrix Optimizer