Analyze codebases and architectures to produce findings reports with risk assessments.
npx skills add https://github.com/chijunzheng/ShowMe --skill deep-dive-chijunzheng
Please help me install this Agent Skill. Skill: deep-dive Source: https://github.com/chijunzheng/ShowMe/tree/main/.claude/skills/deep-dive Command: npx skills add https://github.com/chijunzheng/ShowMe --skill deep-dive-chijunzheng
The Deep Dive agent provides thorough, methodical analyses of codebases, architectures, and technical solutions to inform critical decisions.
Ask the deep-dive agent to thoroughly analyze this codebase and generate a comprehensive findings report.
High-intent search queries and answers about installing and using this skill.
A deep-dive analysis maps codebase architecture, data flow, and dependencies to reveal hidden risks. It provides methodical investigations into technical solutions, synthesizing documented findings and design reviews for end-to-end system comprehension.
The best way to investigate complex debugging issues is an exhaustive technical analysis that assesses implementation choices across large systems. This process generates rigorous documentation, risk assessments, and prioritized remediation steps for resolving deep architectural flaws.
Yes, you can use deep-dive technical analysis for security audits and performance optimization. It applies methodical investigations to evaluate implementation choices, synthesizing security considerations and best practices to deliver actionable risk mitigation recommendations.
Deep-dive codebase analysis works without external dependencies, requiring no specialized environment setup. It operates directly on the provided technical solutions and architecture to generate comprehensive findings reports, risk assessments, and structured recommendations.
You need a deep-dive technical analysis when standard code reviews are insufficient for complex codebases. It is required for comprehensive architecture exploration, evaluating large systems, security audits, and generating structured, actionable recommendations for risk mitigation.
From a deep-dive codebase investigation, you can expect comprehensive findings reports that include mapped architecture, risk assessments, and structured actionable recommendations. These outputs prioritize remediation steps and synthesize best practices for technical solutions.
kvnwolfGenerate structured plan files in .agents/plans/ for development tasks.
li3pIdentify and prioritize technical debt in a codebase for remediation planning.
IndustrialAnalyze code for security vulnerabilities and performance issues.
loriensleafsOrchestrate codebase analysis workflows via brain-hooks with step-based JSON communication.
