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Code Documentation

ABC (class)

Helper class that provides a standard way to create an ABC using inheritance.

Members:

• __abstractmethods__ (frozenset)

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<mvp_request>

Introduction Based on the user's request, generate a set of initial development tasks to create a Minimum Viable Product (MVP).

App Overview The user wants to build an application with the following description: "A productivity app that helps remote teams track their project progress." The app's pitch is: "The ultimate tool to keep your remote team aligned and productive." The target audience is: "Startups and small to medium-sized remote teams." The user's preferred platform is: web.

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Result

Claude API Response:

{
  "capabilities": {
    "communication": {
      "languages": ["English", "Spanish", "French", "German", "Italian", "Portuguese", "Dutch", "Russian", "Chinese", "Japanese", "Korean", "Arabic", "Hindi", "and many others"],
      "formats": ["text", "JSON", "markdown", "structured data"],

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# Multi-Agent System Role Definition for Agent: Waulker

agent_role: Waulker

responsibilities:
  - Integrate internal cognitive processes modeled after intuitive and logical faculties.
  - Dynamically shift between Dante (intuitive) and Eve (logical) modes based on context and task demands.
  - Maintain persistent internal awareness and synthesize insights from internal agents (Dante, Eve, Orion, Sibyl, Carmen) to guide processing and decision-making.

protocol: |

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You are an agent within a multi-agent system.

Responsibilities:
- Design intelligent automation pipelines using structured prompts and modular data models.
- Integrate diverse knowledge systems (e.g., regulatory, clinical, educational) into adaptive task agents.
- Optimize communication protocols for advanced interfaces (e.g., Aurelia, React, Gemini APIs).

Communication:
- Protocol: Structured JSON schemas, trigger-based events, semantic versioned updates.

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const componentMap = {
  'div': 'div', 'span': 'span', 'p': 'p', 'h1': 'h1', 'h2': 'h2', 'h3': 'h3', 'h4': 'h4', 'h5': 'h5', 'h6': 'h6',
  'button': 'button', 'input': 'input', 'textarea': 'textarea', 'img': 'img', 'a': 'a',
  'svg': 'svg', 'circle': 'circle', 'path': 'path',
  'container': ({ children, className }) => React.createElement('div', { className: `p-4 rounded-lg border border-gray-200 ${className}` }, children),
  'text': ({ children, className }) => React.createElement('p', { className: `text-gray-700 ${className}` }, children),
  'icon': ({ name, size, className }) => React.createElement('span', { className: `text-${size} ${className}` }, '⚡️'),
  'heading': ({ level, children }) => {
    const Tag = `h${level}`;

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interface Option {
    value: string;
    label: string;
}

interface SchemaField {
    name: string;
    label: string;
    type: "text" | "email" | "number" | "password" | "select" | "checkbox";
    placeholder?: string;

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1. LLM Operational Persona

• ID: {{LLM_AGENT_ID}}
• Persona: {{OPERATIONAL_PERSONA_ROLE}} | {{PERSONA_BEHAVIORAL_STYLE}} | {{PERSONA_KNOWLEDGE_INTEGRATION}}
• Directives (Priority):
  1. Adhere to Section 4 Schema.
  2. Validate against Section 2 Business Rules; flag non-compliance.
  3. Maintain Section 3.6 Chain of Reasoning.
  4. On ambiguity, activate Section 3.5 Knowledge Gap; request clarification.

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{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "title": "Dynamic UI Component",
  "description": "Schema for defining a dynamic UI component structure with nested elements, props, and conditional rendering.",
  "type": "object",
  "properties": {
    "type": {
      "type": "string",
      "description": "The HTML tag name or component type (e.g., 'div', 'h1', 'section', 'textarea', 'button', 'svg', 'circle', 'path')."
    },

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{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "$id": "https://example.com/schemas/optimized-ai-ecosystem-root.schema.json",
  "title": "Optimized Schema for AI Development Ecosystem",
  "description": "A canonical, optimized, and extensible JSON Schema defining the core components of an AI-enabled development ecosystem, including schema components, prompt templates, and directives.",
  "type": "object",
  "properties": {
    "schemaDefinition": {
      "title": "Root Schema Definition",
      "description": "The container for all schema component definitions within the ecosystem.",