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Comprehensive code reviews covering quality, security, performance, and best practices. \n \n Systematic review process across five dimensions: code quality, security vulnerabilities, performance, testing, and maintainability \n Includes initial assessment, detailed analysis guides, and constructive feedback frameworks \n Covers pull request analysis, coding standards compliance, and developer mentoring through structured review \n Best practices emphasize respectful feedback with explanations a

Assembly instruction patterns, control flow analysis, and decompilation techniques for understanding compiled binaries. \n \n Covers x86-64, ARM64, and ARM32 calling conventions with detailed instruction patterns for function prologues, epilogues, and parameter passing across System V and Microsoft x64 ABIs \n Includes control flow patterns for conditionals, loops, and switch statements, plus data structure recognition for arrays, structs, and linked lists \n Provides common code patterns for st

Parse application logs to identify errors, performance issues, and security anomalies. \n \n Supports multiple log formats including Apache, Nginx, application logs, and JSON with grep-based pattern matching \n Covers error debugging, performance analysis (response times, throughput), security audits (SQL injection, XSS, brute force), and incident response \n Includes pre-built grep patterns for HTTP error codes, time-based analysis, IP-based traffic analysis, and suspicious access patterns \n R

Guides backlink profile analysis: assessing quality, identifying issues, and planning improvements.

Comprehensive biological interpretation of spatial omics data. Transforms spatially variable genes (SVGs), domain annotations, and tissue context into actionable biological insights.

Systematic threat identification using the STRIDE methodology for security analysis and documentation. \n \n Covers six threat categories (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege) with specific questions and control families for each \n Includes ready-to-use templates for threat model documents, data flow diagram analysis, and risk assessment matrices with prioritization \n Provides Python utilities for automated threat enumeration, que

Comprehensive team structure, compensation, and equity planning for early-stage startups from pre-seed through Series A. \n \n Provides role-by-role hiring guidance, salary benchmarks (US 2024), and fully-loaded cost calculations across engineering, sales, product, customer success, and G&A functions \n Includes equity allocation frameworks by stage and role, option pool sizing, and founder vesting guidelines \n Covers organizational design patterns, reporting structures, span-of-control ra

Exploratory Data Analysis (EDA) is the critical first step in data science projects, systematically examining datasets to understand their characteristics, identify patterns, and assess data quality before formal modeling.

Comprehensive analysis of mass spectrometry-based proteomics data from protein identification through quantification, differential expression, post-translational modifications, and systems-level interpretation.

A powerful CLI tool for trading analysis that provides stock quotes, charts, technical indicators, news, and more.