analysis▌

SQL-powered analysis of Excel and CSV files with schema inspection, aggregation, and multi-format export. \n \n Execute arbitrary SQL queries against uploaded data, including joins across multiple files, window functions, and pivot-style aggregations \n Inspect file structure (sheets, columns, data types, row counts) and generate statistical summaries (mean, median, stddev, percentiles, null counts) for numeric and string columns \n Export query results to CSV, JSON, or Markdown; results are cac

Answers: "Where is this token moving? Who is sending it and where?"

Answers: "Is this token held by quality wallets or retail noise?"

Multi-market stock analysis with fundamental and technical evaluation across US, China A-shares, and Hong Kong equities. \n \n Covers fundamental metrics (P/E, P/B, ROE, margins, growth rates) and technical patterns (moving averages, support/resistance, momentum indicators) \n Generates structured analysis reports including valuation assessment, peer comparison, risk factors, and investment thesis \n Supports quick overview or deep-dive analysis modes with customizable focus areas \n Works with

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

Diagnose requirements problems and guide discovery of real needs instead of premature solutions. \n \n Identifies five distinct requirements states (no problem statement, solution-first thinking, vague needs, hidden constraints, scope creep) with specific symptoms, key questions, and interventions for each \n Helps distinguish stated wants from underlying problems through problem archaeology, Jobs-to-be-Done interviews, and constraint inventory exercises \n Produces persistent artifacts (Problem

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

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