/directory-deep-dive
Analyze directory structure and purpose
$ 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
/directory-deep-dive
Context preview
What this command does when you run it.
Analyze directory structure and purpose
Command definition
directory-deep-dive.mdDirectory Deep Dive
Analyze directory structure and purpose
Instructions
1. **Target Directory**
- Focus on the specified directory `$ARGUMENTS` or the current working directory
2. **Investigate Architecture**
- Analyze the implementation principles and architecture of the code in this directory and its subdirectories
- Look for:
- Design patterns being used
- Dependencies and their purposes
- Key abstractions and interfaces
- Naming conventions and code organization
3. **Create or Update Documentation**
- Create a CLAUDE.md file capturing this knowledge
- If one already exists, update it with newly discovered information
- Include:
- Purpose and responsibility of this module
- Key architectural decisions
- Important implementation details
- Common patterns used throughout the code
- Any gotchas or non-obvious behaviors
4. **Ensure Proper Placement**
- Place the CLAUDE.md file in the directory being analyzed
- This ensures the context is loaded when working in that specific area
Credit
This command is based on the work of Thomas Landgraf: https://thomaslandgraf.substack.com/p/claude-codes-memory-working-with
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

