ReachableCEO
1782101471
- Add .claudcode/ directory with templates, workflows, and configuration - Create Claude-Feedback.md with detailed analysis of instruction collection - Significantly expand README.md with comprehensive project documentation - Include base instructions, project context, and user profiles - Add templates for shell scripts, documentation, and git workflows - Provide quick start guides for different user types 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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
- Global Instructions: Universal requirements for all AI interactions
- Chat Type Instructions: Domain-specific requirements
- 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
- Review the base instructions
- Customize the project context
- Use templates from
/.claudcode/templates/for common tasks - Follow workflows in
/.claudcode/workflows/for complex processes
For Developers
- Copy the
.claudcodedirectory to your project root - Customize
settings.jsonfor your project needs - Update
profiles/with your team information - Use templates for consistent code generation
For Advanced Users
- Study the comprehensive Global Prompt
- Implement the Complete Workflow
- Customize role-based configurations in
/AICoFounder/
Usage Examples
Shell Script Generation
Use the shell script template 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 for:
- Consistent markdown formatting
- Version-controlled documents
- Citation requirements
- Professional structure
Git Workflow
Use the git commit workflow 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
- Review existing instructions for patterns
- Follow the Complete Workflow
- Test thoroughly before submission
- 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 for detailed analysis and recommendations.
Documentation maintained by ReachableCEO Enterprises - Professional AI interaction framework for consistent, high-quality results.