Does Deep Dive analyze my local files?

Yes, it can trigger Explore sub-agents to read and analyze your local code structure, allowing it to ask specific, context-aware questions about your implementation.

How many questions does the skill ask at once?

To maintain focus and avoid overwhelming the user, it typically asks between 1 to 4 targeted questions per iteration based on the depth of the topic.

What is the Deep Dive skill for Claude Code?

Deep Dive is a specialized capability that uses a recursive questioning loop to clarify vague requirements and eliminate technical assumptions before coding begins.

When should I use the 'ultrathink' trigger?

You should use 'ultrathink' or the Deep Dive skill when you have a complex problem that requires thorough consideration, technical discovery, or when a task has many unknown variables.

How does this skill prevent implementation errors?

It identifies 'Inferences' and 'Unknowns' in your request and forces a confirmation step, ensuring that the AI never proceeds based on incorrect guesses.

Deep Dive

Name: Deep Dive
Author: sk8metalme

bysk8metalme

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Productivity & Workflow

Refines project requirements and eliminates technical assumptions through recursive questioning and automated codebase investigation.

About

Deep Dive is a specialized skill for Claude Code designed to eliminate ambiguity and guesswork in software development tasks. By employing a structured recursive questioning workflow, it systematically uncovers hidden requirements, identifies technical constraints, and verifies assumptions before implementation begins. The skill integrates with sub-agents to explore existing codebases, ensuring that its inquiries are grounded in the actual state of your project. Whether you are designing a new feature, debugging a complex issue, or conducting a technical investigation, Deep Dive ensures high-quality outcomes by aligning the AI's understanding perfectly with the user's intent and technical reality.

Key Features

Automated context investigation using Explore sub-agents
Explicit assumption identification to prevent implementation errors
Real-time 'Current Understanding' summaries for continuous alignment
Standardized requirement templates for features, bugs, and architecture
Recursive questioning workflow to minimize project ambiguity
1 GitHub stars

Use Cases

Defining technical requirements for new API features or services
Technical discovery and architecture planning for legacy codebases
Root cause analysis and deep debugging of complex system behaviors

About

Key Features

Automated context investigation using Explore sub-agents
Explicit assumption identification to prevent implementation errors
Real-time 'Current Understanding' summaries for continuous alignment
Standardized requirement templates for features, bugs, and architecture
Recursive questioning workflow to minimize project ambiguity
1 GitHub stars

Use Cases

Defining technical requirements for new API features or services
Technical discovery and architecture planning for legacy codebases
Root cause analysis and deep debugging of complex system behaviors