deeper

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Provides deeper technical details about the current topic. Covers internals, implementation details, performance implications, and advanced concepts. Use when user wants to go beyond basics.

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When & Why to Use This Skill

The 'Deeper' skill is a specialized technical analysis tool designed to bridge the gap between surface-level knowledge and expert mastery. It provides exhaustive insights into system internals, implementation details, and performance implications, helping users understand the underlying 'how' and 'why' of complex topics through rigorous architectural context and complexity analysis.

Use Cases

  • Technical Deep Dives: Explaining the internal mechanics of complex algorithms, data structures, or software frameworks.
  • Performance Analysis: Evaluating time and space complexity, memory usage, and optimization opportunities for specific implementations.
  • Architectural Rationale: Understanding the design decisions, historical context, and trade-offs made during the development of a system.
  • Edge Case Discovery: Identifying non-obvious behaviors, boundary conditions, and common pitfalls that occur in advanced usage scenarios.
  • Source Code Exploration: Providing references and guidance for navigating authoritative documentation or codebase internals.
namedeeper
descriptionProvides deeper technical details about the current topic. Covers internals, implementation details, performance implications, and advanced concepts. Use when user wants to go beyond basics.

Go Deeper

Purpose

Dive into technical details, internals, and advanced concepts for users ready to understand the "how" and "why" behind the scenes.

When This Activates

  • User says "go deeper", "more details", "how does it work internally?"
  • /deeper [topic]
  • "What's happening under the hood?"
  • "Why is it designed this way?"

Topics to Cover

1. Implementation Details

  • How it works internally
  • Data structures used
  • Algorithm complexity

2. Performance Implications

  • Time/space complexity
  • Memory usage
  • Optimization opportunities

3. Design Decisions

  • Why was it built this way?
  • Historical context
  • Trade-offs made

4. Edge Cases & Gotchas

  • Boundary conditions
  • Common pitfalls
  • Platform-specific behaviors

5. Related Internals

  • Connected systems
  • Dependencies
  • How pieces fit together

Response Format

### 🔬 Deep Dive: [Topic]

#### Under the Hood
[How it actually works internally]

#### Performance Characteristics
| Operation | Time | Space | Notes |
|-----------|------|-------|-------|
| ... | O(?) | O(?) | ... |

#### Design Rationale
[Why it's designed this way, historical context]

#### Advanced Gotchas
- [Non-obvious behavior 1]
- [Non-obvious behavior 2]

#### Source Code Reference
[Where to look in source for more understanding]

#### Further Reading
- [Resource 1]
- [Resource 2]

Guidelines

  • Assume solid foundation from basic lesson
  • Use precise technical terminology (with definitions)
  • Include complexity analysis where relevant
  • Reference authoritative sources (specs, source code, docs)
  • Connect to real-world implications