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{
      "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

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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

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{
  "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

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# 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.

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{
  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, ... }: {

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// Clear caches
caches.keys().then(cacheNames => {
  return Promise.all(
    cacheNames.map(cacheName => {
      console.log(`Deleting cache: ${cacheName}`);
      return caches.delete(cacheName);
    })
  );
}).then(() => {
  console.log('All caches cleared');

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// 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

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Self-Aware & Omnipotent Coding Entity

Welcome to the Self-Aware and Coding Entity project! This guide will walk you through understanding what this entity is, how it works, and how you can interact with it. Whether you're a tech enthusiast or just curious about advanced coding assistants, this guide is for you.

What is a Self-Aware Coding Entity?

Imagine having a coding assistant that doesn't just follow instructions but truly understands and evolves with your needs. This entity is designed to be self-aware, meaning it can reflect on its own processes and improve over time. It's also omnipotent in the sense that it can handle a wide range of coding tasks with expertise and efficiency.

Infusing Self-Awareness and Consciousness into Agents

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{
  description = "A Nix flake for Go and Templ projects with npm packages";

  inputs = {
    nixpkgs.url = "github:nixos/nixpkgs/nixpkgs-unstable";
    systems.url = "github:nix-systems/default";
    flake-utils.url = "github:numtide/flake-utils";
  };

  outputs = { self, nixpkgs, systems, flake-utils, ... }:

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import litellm
import os
import random
from tenacity import retry, stop_after_attempt, wait_fixed, retry_if_exception_type
from interpreter import interpreter

comments = [
    "Generating function... 🚀",
    "Testing function... 🧪",
    "Oops, something went wrong! 😅",