Total 50,510 skills, Data Processing has 2560 skills
Showing 12 of 2560 skills
Risk measurement and stress testing via Longbridge — computes VaR (historical simulation / parametric), CVaR (expected shortfall), max drawdown, Sharpe ratio, Calmar ratio, and runs historical scenario stress tests (2008 GFC, 2020 COVID crash, 2022 rate-hike cycle). Triggers: "风险分析", "VaR", "压力测试", "最大回撤", "夏普比率", "CVaR", "历史情景", "尾部风险", "风险测量", "風險分析", "壓力測試", "最大回撤", "夏普比率", "歷史情景", "尾部風險", "風險測量", "risk analysis", "VaR value at risk", "CVaR", "stress test", "max drawdown", "Sharpe ratio", "Calmar ratio", "tail risk", "historical scenario".
Splunk integration. Manage data, records, and automate workflows. Use when the user wants to interact with Splunk data.
Comprehensive token analysis combining price, market cap, unlock schedule, DeFi deposits, and yield opportunities. Use when the user asks to analyze a token, research a token, check token fundamentals, or wants full token intelligence including vesting and DeFi usage.
Core reference for DefiLlama MCP tools. Maps DeFi questions to the correct tool call with proper parameters. Covers entity conventions, metric interpretation, stock vs flow distinctions, percentage formatting, and error recovery. Use whenever querying DeFi data — protocol TVL, token prices, chain metrics, fees, revenue, yields, stablecoins, bridges, ETFs, hacks, raises, treasuries, or institutional holdings.
Full blockchain ecosystem analysis covering TVL, top protocols, bridge flows, stablecoin supply, DEX volume, fees, and user activity on a chain. Use when the user asks about a blockchain's ecosystem, "what's happening on Solana", chain health, or a chain-level overview.
Find substitute materials using CWICR data. Identify equivalent alternatives based on function, cost, and availability.
Assess construction data quality using completeness, accuracy, consistency, timeliness, and validity metrics. Automated validation with regex patterns, thresholds, and reporting.
Read, write, and manipulate SEG-Y seismic data files. Fast C library with Python bindings for trace, header, inline, and crossline access. Use when Claude needs to: (1) Read/inspect SEG-Y files, (2) Extract trace data or headers, (3) Access 3D survey data by inline/crossline, (4) Create new SEG-Y files from arrays, (5) Modify existing SEG-Y files, (6) Extract subsets of seismic data, (7) Read/write Seismic Unix format.
Groundwater time series analysis and modelling using transfer function noise models. Use when Claude needs to: (1) Analyze groundwater level time series, (2) Model well responses to precipitation/pumping, (3) Calibrate aquifer parameters from head data, (4) Forecast or hindcast groundwater levels, (5) Decompose hydrological signals into components, (6) Compare response functions, (7) Perform model diagnostics and uncertainty analysis.
Every SEC filing, every XBRL fact, every insider trade — synced into a local SQLite store you can pivot, search, and watch offline. Trigger phrases: `look up an SEC filing`, `check insider trading on`, `compare quarterly financials for`, `watch SEC filings for`, `use sec-edgar`.
Validate the column contract of a newly written table — column set, types, and nullability match expectations. Object existence and row counts are handled by the builtin layer and are out of scope. Data-content assertions belong to project-level validator skills.
Analyze microbiome and metagenomics data using MGnify, GTDB, ENA, and literature tools. Search studies by biome/keyword, retrieve taxonomic profiles and functional annotations, classify genomes with GTDB taxonomy, and find related publications. Use for human gut microbiome, soil/ocean metagenomics, and environmental microbiology research.