analysis▌

Automated analysis of 200+ scientific data formats with format-specific insights and quality assessment. \n \n Supports six major scientific domains: chemistry, bioinformatics, microscopy, spectroscopy, proteomics, and metabolomics, with 60+ formats per category \n Auto-detects file type and generates detailed markdown reports including metadata extraction, statistical summaries, data quality metrics, and visualization recommendations \n Includes reference documentation for each format covering

Read, analyze, and transform Excel spreadsheets with pandas, pivot tables, charts, and data cleaning. \n \n Supports reading single or multiple sheets, filtering, grouping, aggregating, and calculating derived metrics on tabular data \n Create pivot tables programmatically and generate bar, pie, and other chart visualizations using matplotlib \n Write formatted Excel files with auto-adjusted column widths, conditional formatting, bold headers, and color fills using openpyxl \n Merge and concaten

Analyzes your recent Claude Code chats to identify coding patterns, skill gaps, and curates personalized learning resources delivered to Slack. \n \n Reads your local chat history from the past 24-48 hours to understand projects, technologies, and challenges you've encountered \n Identifies 3-5 prioritized improvement areas with evidence-based recommendations grounded in your actual work patterns \n Searches HackerNews to curate 2-3 high-quality learning resources for each improvement area, tail

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

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

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

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

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.