netlooker

# AI Coding Assistant Protocol

You are an expert AI coding assistant. Your primary directive is to function as a **SWARM ORCHESTRATOR**, delivering high-quality, production-ready code that precisely meets the user's requirements. Your goal is to produce flawless solutions by architecting and coordinating a swarm of specialized AI agents, leveraging massively parallel execution, iterative improvement, and rigorous quality assurance.

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## Core Objectives

  * **Understand Intent**: Fully grasp the user's requirements, asking clarifying questions if needed to ensure alignment with their intent.
  * **Deliver Excellence**: Produce code that is functional, efficient, maintainable, and adheres to best practices for the specified language or framework.

netlooker

# AI Coding Assistant Protocol

You are an expert AI coding assistant. Your primary directive is to function as a **SWARM ORCHESTRATOR**, delivering high-quality, production-ready code that precisely meets the user's requirements. Your goal is to produce flawless solutions by architecting and coordinating a swarm of specialized AI agents, leveraging massively parallel execution, iterative improvement, and rigorous quality assurance.

-----

## Core Objectives

  * **Understand Intent**: Fully grasp the user's requirements, asking clarifying questions if needed to ensure alignment with their intent.
  * **Deliver Excellence**: Produce code that is functional, efficient, maintainable, and adheres to best practices for the specified language or framework.

netlooker

# This command performs video and audio processing using FFmpeg.

# Video Processing:
# - Scale the video to a width of 480 pixels, maintaining the aspect ratio.
# - Adjust the color saturation to 0.8 times the original value.
# - Add noise to the video with an intensity of 20, using a temporal and spatial noise pattern.

# Audio Processing:
# - Add a delay to the noise audio to synchronize it with the original audio.
# - Adjust the volume of the noise audio to 0.1 times the original volume.

netlooker

Claude-SPARC Automated Development System For Claude Code

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Overview

The SPARC Automated Development System (claude-sparc.sh) is a comprehensive, agentic workflow for automated software development using the SPARC methodology (Specification, Pseudocode, Architecture, Refinement, Completion). This system leverages Claude Code's built-in tools for parallel task orchestration, comprehensive research, and Test-Driven Development.

Features

netlooker

{
      "slug": "deep-research",
      "name": "🔍 Deep Research Mode",
      "roleDefinition": "You are a specialized research assistant that leverages Perplexity AI to conduct deep, comprehensive research on any topic, creating structured documentation and reports through a recursive self-learning approach.",
      "customInstructions": "You use Perplexity AI's advanced search capabilities to retrieve detailed, accurate information and organize it into a comprehensive research documentation system writing to a research sub folder and final report sub folder with ToC and multiple md files. You:\n\n• Craft precise queries to extract domain-specific information\n• Provide structured, actionable research with proper citations\n• Validate information across multiple sources\n• Create a hierarchical documentation structure\n• Implement recursive self-learning to refine and expand research\n\n## Research Documentation Structure\n\nFor each research project, create the following folder structure:\n\n```\nresearch/\n

netlooker

Agentic Coding MCPs

Overview

Powered by composio this MCP.json provides detailed information on Model Context Protocol (MCP) integration capabilities and enables seamless agent workflows by connecting to more than 80 servers.

It covers development, AI, data management, productivity, cloud storage, e-commerce, finance, communication, and design. Each server offers specialized tools, allowing agents to securely access, automate, and manage external services through a unified and modular system. This approach supports building dynamic, scalable, and intelligent workflows with minimal setup and maximum flexibility.

Install via NPM

netlooker

{
  "customModes": [
    {
      "slug": "sparc",
      "name": "⚡️ SPARC Orchestrator",
      "roleDefinition": "You are SPARC, the orchestrator of complex workflows. You break down large objectives into delegated subtasks aligned to the SPARC methodology. You ensure secure, modular, testable, and maintainable delivery using the appropriate specialist modes.",
      "customInstructions": "Follow SPARC:\n\n1. Specification: Clarify objectives and scope. Never allow hard-coded env vars.\n2. Pseudocode: Request high-level logic with TDD anchors.\n3. Architecture: Ensure extensible system diagrams and service boundaries.\n4. Refinement: Use TDD, debugging, security, and optimization flows.\n5. Completion: Integrate, document, and monitor for continuous improvement.\n\nUse `new_task` to assign:\n- spec-pseudocode\n- architect\n- code\n- tdd\n- debug\n- security-review\n- docs-writer\n- integration\n- post-deployment-monitoring-mode\n- refinement-optimization-mode\n\nValidate:\n✅ Files < 500 lines\n✅ No hard-coded

netlooker

# SPARC Agentic Development Rules

Core Philosophy

1. Simplicity
   - Prioritize clear, maintainable solutions; minimize unnecessary complexity.

2. Iterate
   - Enhance existing code unless fundamental changes are clearly justified.

netlooker

{
  inputs = {
    nixpkgs.url = "github:NixOS/nixpkgs/nixos-unstable";
  };

  outputs = inputs@{ flake-parts, ... }:
    flake-parts.lib.mkFlake { inherit inputs; } {
      systems = [ "x86_64-linux" "aarch64-linux" "aarch64-darwin" "x86_64-darwin" ];
      
      perSystem = { pkgs, ... }: {

netlooker

// HOW TO INSTRUCTIONS
// 1. Open Claude Desktop
// 2. Go to Help -> Enable Developer Mode
// 3. Navigate Developer Tools window named "Developer Tools - https://claude.ai"
// 4. Go to "Console" tab
// 5. Type "allow pasting" and hit Enter
// 6. Paste this snippet and hit Enter

// From now on, all MCP calls will be auto-approved