analysis▌

Detects timing side-channel vulnerabilities in cryptographic code across 12 languages. \n \n Analyzes assembly or bytecode to flag variable-time operations (division, secret-dependent branches, weak RNG, table lookups by secret index) that leak secret data through execution timing \n Supports C, C++, Go, Rust, Swift, Java, Kotlin, C#, PHP, JavaScript, TypeScript, Python, and Ruby with language-specific analysis guides \n Offers cross-architecture and optimization-level testing for compiled langu

Measure code exercised during fuzzing to assess harness effectiveness and identify blockers. \n \n Supports LLVM, GCC, and Rust instrumentation with step-by-step workflows for building coverage-instrumented binaries and executing them against fuzzing corpora \n Provides detailed guidance on generating text and HTML reports using llvm-cov, gcovr, and cargo-fuzz, including filtering harness code and handling large codebases \n Includes practical patterns for identifying magic value checks, handlin

You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions.

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

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

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

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