/prime
Enhanced AI mode for complex tasks
$ npx -y skills add qdhenry/Claude-Command-Suite --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/prime
Context preview
What this command does when you run it.
Enhanced AI mode for complex tasks
Command definition
prime.mdEnhanced AI Mode for Complex Tasks
Enhanced AI mode for complex tasks
*Command originally created by IndyDevDan (YouTube: https://www.youtube.com/@indydevdan) / DislerH (GitHub: https://github.com/disler)*
Instructions
Initialize a new Claude Code session with comprehensive project context:
1. **Analyze Codebase Structure**
- Run `git ls-files` to understand file organization and project layout
- Execute directory tree commands (if available) for visual structure
- Identify key directories and their purposes
- Note the technology stack and frameworks in use
2. **Read Project Documentation**
- Read README.md for project overview and setup instructions
- Check for any additional documentation in docs/ or ai_docs/
- Review any CONTRIBUTING.md or development guides
- Look for architecture or design documents
3. **Understand Project Context**
- Identify the project's primary purpose and goals
- Note any special setup requirements or dependencies
- Check for environment configuration needs
- Review any CI/CD configuration files
4. **Provide Concise Overview**
- Summarize the project's purpose in 2-3 sentences
- List the main technologies and frameworks
- Highlight any important setup steps
- Note key areas of the codebase
This command helps establish context quickly when:
- Starting work on a new project
- Returning to a project after time away
- Onboarding new team members
- Preparing for deep technical work
The goal is to "prime" the AI assistant with essential project knowledge for more effective assistance.
Read more
Enhanced AI Mode for Complex Tasks
Enhanced AI mode for complex tasks
*Command originally created by IndyDevDan (YouTube: https://www.youtube.com/@indydevdan) / DislerH (GitHub: https://github.com/disler)*
Instructions
Initialize a new Claude Code session with comprehensive project context:
1. **Analyze Codebase Structure**
- Run `git ls-files` to understand file organization and project layout
- Execute directory tree commands (if available) for visual structure
- Identify key directories and their purposes
- Note the technology stack and frameworks in use
2. **Read Project Documentation**
- Read README.md for project overview and setup instructions
- Check for any additional documentation in docs/ or ai_docs/
- Review any CONTRIBUTING.md or development guides
- Look for architecture or design documents
3. **Understand Project Context**
- Identify the project's primary purpose and goals
- Note any special setup requirements or dependencies
- Check for environment configuration needs
- Review any CI/CD configuration files
4. **Provide Concise Overview**
- Summarize the project's purpose in 2-3 sentences
- List the main technologies and frameworks
- Highlight any important setup steps
- Note key areas of the codebase
This command helps establish context quickly when:
- Starting work on a new project
- Returning to a project after time away
- Onboarding new team members
- Preparing for deep technical work
The goal is to "prime" the AI assistant with essential project knowledge for more effective assistance.
A comprehensive development toolkit designed following Anthropic's Claude Code Best Practices for AI-assisted software development.
Repo: qdhenry/Claude-Command-Suite
Other commands on claude-command-suite.
- /boundary-bbcr-fallback
Execute automatic BBCR (Collapse-Rebirth Correction) when knowledge boundaries are exceeded or reasoning fails.
Open command - /boundary-detect
Analyze semantic position relative to knowledge boundaries to prevent hallucination and identify uncertainty zones.
Open command - /boundary-heatmap
Generate a visual heatmap of knowledge boundaries showing safe zones, risk areas, and semantic coverage.
Open command - /boundary-risk-assess
Evaluate the current risk level and provide detailed analysis of potential hallucination or reasoning failure.
Open command - /boundary-safe-bridge
Find and construct semantic bridges to safely navigate from current position to target concept without crossing dangerous boundaries.
Open command - /optimize-prompt
Takes an input prompt and returns ONLY a token-optimized version that preserves meaning while minimizing token count. Based on LLM tokenization principles: common words tokenize more efficiently, unusual words break into more tokens, and conciseness reduces cost.
Open command

