When should I use Codex ThinkDeep instead of standard analysis?

Use this skill for architecture decisions, performance deep-dives, security analysis, or any complex issue that requires a thorough, step-by-step breakdown rather than a quick fix.

What is the Codex ThinkDeep skill?

Codex ThinkDeep is a specialized skill for Claude Code that triggers deep, multi-step investigation workflows using high-reasoning models to solve complex technical problems.

What kind of output does Codex ThinkDeep generate?

It generates a structured report including a problem breakdown, a list of hypotheses explored with findings, a final recommendation, and a confidence level.

How do I trigger the deep analysis workflow?

You can trigger the skill by asking Claude to perform a 'codex deep analysis', 'investigate with codex', or 'have codex think deeply' about a specific problem.

Codex ThinkDeep

Name: Codex ThinkDeep
Author: kanlanc

bykanlanc

Security & Testing

Performs deep, multi-step technical investigations and complex reasoning using high-effort analysis patterns.

About

Codex ThinkDeep is a specialized Claude Code skill designed for high-stakes technical decision-making and complex problem-solving. It leverages maximum reasoning effort to break down intricate problems, formulate and test multiple hypotheses, and provide well-reasoned conclusions for software architecture, security audits, and performance bottlenecks. By automating a structured investigation workflow, it ensures that every analysis is thorough, evidence-based, and comprehensive, providing developers with high-confidence recommendations for their most challenging tasks.

Key Features

High-effort reasoning (xhigh) for deep technical logic
Specialized triggers for thorough architectural and security investigations
Automated multi-step hypothesis formulation and testing
Structured reporting with problem breakdowns and confidence levels
0 GitHub stars
Advanced context gathering from codebase files for accurate inference

Use Cases

Conducting comprehensive security audits and vulnerability investigations
Evaluating complex architectural decisions and system design patterns
Debugging elusive performance bottlenecks in large-scale distributed systems

About

Key Features

High-effort reasoning (xhigh) for deep technical logic
Specialized triggers for thorough architectural and security investigations
Automated multi-step hypothesis formulation and testing
Structured reporting with problem breakdowns and confidence levels
0 GitHub stars
Advanced context gathering from codebase files for accurate inference

Use Cases

Conducting comprehensive security audits and vulnerability investigations
Evaluating complex architectural decisions and system design patterns
Debugging elusive performance bottlenecks in large-scale distributed systems