# LLMScaffolding A comprehensive collection of Claude prompts, instructions, and configurations developed by @ReachableCEO for professional AI interactions. ## Overview This repository contains a mature LLM instruction framework designed for consistent, high-quality AI interactions across different projects and contexts. The system emphasizes professional standards, accuracy, and structured documentation. ## Repository Structure ### Core Components #### `/ReleasedPrompts/` Public Claude prompts and instruction sets: - **Global Prompts**: Universal guidelines for all AI interactions - **Professional Profiles**: Context about team members and preferences - **Workflow Documentation**: Complete processes for prompt engineering - **Chat Type Instructions**: Domain-specific requirements #### `/AICoFounder/` Role-based AI assistant configurations: - **Production environments** for TSYS and Family Office operations - **Organizational hierarchy** with CTO, COO, and specialized roles - **General instructions** for shell scripting and meta-instructions - **Staff status** tracking and management #### `/MCP/` Model Context Protocol configurations: - **Memory management** for persistent AI interactions - **Service integrations** (Cloudron, Joplin, Redmine) - **Basic memory** setup and configuration #### `/.claudcode/` Claude Code configuration directory: - **Base instructions** for consistent behavior - **Project templates** for common tasks - **Workflow definitions** for complex processes - **User profiles** and team standards ## Key Features ### Three-Tier Instruction Hierarchy 1. **Global Instructions**: Universal requirements for all AI interactions 2. **Chat Type Instructions**: Domain-specific requirements 3. **Specific Chat Instructions**: Individual conversation requirements ### Quality Standards - **No hallucination policy**: Absolute requirement for factual accuracy - **Citation requirements**: All factual claims must be sourced - **Professional formatting**: Strict Markdown compliance - **Version control**: Semantic versioning across all artifacts ### Professional Standards - **Copyright**: ReachableCEO Enterprises 2025 - **License**: AGPL v3.0 for generated code - **Error handling**: Robust error handling requirements - **Documentation**: Comprehensive documentation standards ## Quick Start ### For New Users 1. Review the [base instructions](/.claudcode/base-instructions.md) 2. Customize the [project context](/.claudcode/project-context.md) 3. Use templates from `/.claudcode/templates/` for common tasks 4. Follow workflows in `/.claudcode/workflows/` for complex processes ### For Developers 1. Copy the `.claudcode` directory to your project root 2. Customize `settings.json` for your project needs 3. Update `profiles/` with your team information 4. Use templates for consistent code generation ### For Advanced Users 1. Study the comprehensive [Global Prompt](ReleasedPrompts/LLM%20Scaffolding/Released%20prompts/FINAL-GlobalPrompt%20v2.0.0%20(Part%201%20of%203).md) 2. Implement the [Complete Workflow](ReleasedPrompts/LLM%20Scaffolding/COO%20Work/Doc%20prompt%20eng/Complete%20Workflow.md) 3. Customize role-based configurations in `/AICoFounder/` ## Usage Examples ### Shell Script Generation Use the [shell script template](/.claudcode/templates/shell-script.md) for: - Automated ReachableCEO copyright headers - AGPL v3.0 licensing - Robust error handling - Colored output with logging - Comprehensive test suite generation ### Documentation Creation Follow the [documentation template](/.claudcode/templates/documentation.md) for: - Consistent markdown formatting - Version-controlled documents - Citation requirements - Professional structure ### Git Workflow Use the [git commit workflow](/.claudcode/workflows/git-commit.md) for: - Conventional commit messages - Proper attribution - Quality checks before commits ## Architecture ### Design Principles - **Modular**: Composable instruction components - **Scalable**: Hierarchical structure supports growth - **Maintainable**: Clear versioning and documentation - **Professional**: High standards for all outputs ### Technical Implementation - **Markdown-based**: All instructions in standard Markdown - **Version controlled**: Semantic versioning throughout - **Template-driven**: Reusable components for consistency - **Configurable**: Adaptable to different projects and teams ## Contributing ### Standards - All contributions must follow the established quality standards - Include proper citations for any factual claims - Follow the semantic versioning scheme - Maintain dual-version artifacts (LLM and human optimized) ### Process 1. Review existing instructions for patterns 2. Follow the [Complete Workflow](ReleasedPrompts/LLM%20Scaffolding/COO%20Work/Doc%20prompt%20eng/Complete%20Workflow.md) 3. Test thoroughly before submission 4. Document all changes with proper version control ## License This project is licensed under AGPL v3.0. See individual files for specific licensing information. ## Contact - **Project Lead**: Charles N Wyble - **Email**: Reachableceo@turnsys.com - **Company**: ReachableCEO Enterprises ## Feedback For feedback on this instruction collection, see [Claude-Feedback.md](Claude-Feedback.md) for detailed analysis and recommendations. --- *Documentation maintained by ReachableCEO Enterprises - Professional AI interaction framework for consistent, high-quality results.*