analysis▌

Generates detailed implementation blueprints by analyzing project architecture, technology stacks, and workflow patterns. \n \n Auto-detects project type, entry points, persistence mechanisms, and architecture patterns (.NET, Java/Spring, React, microservices, etc.) to tailor documentation \n Documents complete end-to-end workflows across entry points, service layers, data access, error handling, and response construction with actual code examples \n Configurable output detail levels, workflow c

Find similar vulnerabilities and bugs across codebases using pattern-based analysis. \n \n Guides a five-step process: understand root cause, create exact match, identify abstraction points, iteratively generalize patterns, and analyze results with confidence/exploitability triage \n Supports ripgrep for quick searches, Semgrep for simple pattern matching, and CodeQL for cross-function data flow analysis \n Includes ready-to-use CodeQL and Semgrep templates for Python, JavaScript, Java, Go, and

Analyze data in spreadsheets, uncover insights, and create compelling visualizations.

Multi-platform trend discovery and tracking across Google Trends, Instagram, Facebook, YouTube, and TikTok. \n \n Supports 19 specialized Apify Actors covering search trends, hashtag tracking, engagement metrics, and viral content discovery across five major platforms \n Dynamically fetches Actor schemas using mcpc CLI to retrieve input parameters and output fields before execution \n Outputs results in three formats: quick chat display, CSV export, or JSON export with customizable result counts

Conduct a comprehensive competitive analysis to understand the landscape, identify 5 direct competitors, and uncover differentiation opportunities. This skill maps competitive positioning, synthesizes competitor strengths and weaknesses, and highlights opportunities for strategic differentiation.

$23

Analyze search engine results pages to understand ranking factors, SERP features, and AI overview patterns. \n \n Maps SERP composition including AI Overviews, featured snippets, People Also Ask, knowledge panels, and organic results to reveal what Google shows for a query \n Analyzes top 10 ranking pages for common patterns: domain authority, content length, freshness, structure, and on-page factors that drive rankings \n Identifies SERP feature opportunities (featured snippets, PAA answers) an

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

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

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