Deep analysis and investigation
Conducts deep analysis of code, architecture, bugs, performance, or security issues with systematic investigation.
npx claudepluginhub mazenyassergithub/oh-my-claudecodeThis skill inherits all available tools. When active, it can use any tool Claude has access to.
[ANALYSIS MODE ACTIVATED]
Conduct thorough analysis of the specified target (code, architecture, issue, bug, performance bottleneck, security concern).
Gather Context
Analyze Systematically
For Debugging/Bug Analysis (4-Phase Protocol)
When analyzing bugs or issues, follow systematic debugging:
Root Cause First - Never skip to fixes
Pattern Analysis - Find working vs broken
3-Failure Circuit Breaker - If stuck:
Synthesize Findings
Provide Recommendations
Present findings clearly:
Stay objective. Cite file paths and line numbers. No speculation without evidence.
Expert guidance for Next.js Cache Components and Partial Prerendering (PPR). **PROACTIVE ACTIVATION**: Use this skill automatically when working in Next.js projects that have `cacheComponents: true` in their next.config.ts/next.config.js. When this config is detected, proactively apply Cache Components patterns and best practices to all React Server Component implementations. **DETECTION**: At the start of a session in a Next.js project, check for `cacheComponents: true` in next.config. If enabled, this skill's patterns should guide all component authoring, data fetching, and caching decisions. **USE CASES**: Implementing 'use cache' directive, configuring cache lifetimes with cacheLife(), tagging cached data with cacheTag(), invalidating caches with updateTag()/revalidateTag(), optimizing static vs dynamic content boundaries, debugging cache issues, and reviewing Cache Component implementations.
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.