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Found 326 Skills
Generate plots, charts, and graphs from data with automatic visualization type selection. Use when requesting "visualization", "plot", "chart", or "graph". Trigger with phrases like 'generate', 'create', or 'scaffold'.
Analyze CSV files, generate summary statistics, and create visualizations using Python and pandas. Use when the user uploads, attaches, or references a CSV file, asks to summarize or analyze tabular data, requests insights from CSV data, or wants to understand data structure and quality.
Use this for exploratory data analysis (EDA), generating visualizations, finding trends, and deriving insights from datasets using Python (Pandas/Seaborn/Plotly) or SQL.
Microsoft Excel (.xlsx) spreadsheet manipulation using MCP server tools. Use this any time an Excel spreadsheet is involved - as input, output, or both. Activate the excel-server MCP for Excel operations. Covers creating workbooks, managing worksheets, formatting cells, writing formulas, creating charts, building pivot tables, and data analysis with professional standards.
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
SQL query expert for optimization, schema design, and data analysis
Use when writing or running Nushell commands, scripts, or pipelines - via the Nushell MCP server (mcp__nushell__evaluate), via Bash (nu -c), or in .nu script files. Also use when working with structured data (JSON, YAML, TOML, CSV, Parquet, SQLite), doing ad-hoc data analysis or exploration, or when the user's shell is Nushell.
Full token research workflow using Messari x402 API. Fetches asset fundamentals, price history, sentiment signals, and news, then synthesizes a research brief via Messari AI. Total cost ~$1.00–$1.50 USDC per run.
Run an offline ASO audit on canonical App Store metadata under `./metadata` and surface keyword gaps using Astro MCP. Use after pulling metadata with `asc metadata pull`.
Corporate event-driven analysis via Longbridge Securities — captures and classifies events that create pricing dislocations: major-shareholder increases/decreases, equity incentives, private placements, rights issues, buybacks, M&A/restructuring, index rebalancing, and management changes. Combines filings, corporate actions, and shareholder data to produce event signals. Triggers: "公司事件", "事件驱动", "大股东增持", "大股东减持", "股权激励", "定增", "配股", "回购", "并购重组", "指数调整", "管理层变更", "公告分析", "公司事件", "事件驅動", "大股東增持", "大股東減持", "股權激勵", "定增", "配股", "回購", "並購重組", "指數調整", "corporate event", "event-driven", "share buyback", "equity incentive", "major shareholder increase", "rights issue", "M&A arbitrage", "index rebalancing", "insider buying", "corporate action analysis".
Uniview Smart Parking Open Platform Data Analysis Domain openydt data: Read-only data statistics and reports including parking lot payment bills, bill summaries, traffic flow, top license plate distribution, real-time parking lot data, daily vehicle exit/transaction counts, per-minute traffic flow, parking space usage, parking duration analysis, etc. Trigger words: data analysis/statistics/reports/check bills/payment bills/bill summaries/traffic flow/traffic statistics/top license plates/license plate distribution/real-time data/present vehicles/exit counts/transaction counts/per-minute traffic/parking space usage/parking space utilization rate/parking space occupancy/heatmap/echart/parking duration/duration analysis/parking duration distribution
This skill should be used when analyzing sector rotation patterns and market cycle positioning. It fetches sector uptrend data from CSV (no API key required) and optionally accepts chart images for supplementary analysis. Use this skill when the user requests sector rotation analysis, cyclical vs defensive assessment, overbought/oversold identification, or market cycle phase estimation. All analysis and output are conducted in English.