Total 50,473 skills, Data Processing has 2559 skills
Showing 12 of 2559 skills
Audit a spreadsheet for formula accuracy, errors, and common mistakes. Scopes to a selected range, a single sheet, or the entire model (including financial-model integrity checks like BS balance, cash tie-out, and logic sanity). Triggers on "audit this sheet", "check my formulas", "find formula errors", "QA this spreadsheet", "sanity check this", "debug model", "model check", "model won't balance", "something's off in my model", "model review".
Generate professional company tear sheets using S&P Capital IQ data via the Kensho LLM-ready API MCP server. Use this skill whenever the user asks for a tear sheet, company one-pager, company profile, fact sheet, company snapshot, or company overview document — especially when they mention a specific company name or ticker. Also trigger when users ask for equity research summaries, M&A company profiles, corporate development target profiles, sales/BD meeting prep documents, or any concise single-company financial summary. This skill supports four audience types: equity research, investment banking/M&A, corporate development, and sales/business development. If the user doesn't specify an audience, ask. Works for both public and private companies.
Build the period-end accrual schedule — for each accrual, compute the entry, cite the support, and draft the JE. Use during month-end close; the JE is a draft for controller approval, not a posting.
Write flux commentary for every P&L and balance-sheet line over threshold — current vs prior period and vs budget, with the driver explained from underlying activity. Use for the month-end close package and management reporting.
Ichimoku Cloud (一目均衡表) five-line system signal engine for stocks listed in HK / US / A-share / Singapore via Longbridge Securities. Computes Tenkan-sen, Kijun-sen, Senkou Span A/B, and Chikou Span from OHLCV data; generates price-vs-cloud position, line-cross signals, and full trend-confirmation scores. Triggers: "一目均衡表", "一目云", "云图", "转折线", "基准线", "先行带", "迟行线", "云上", "云下", "一目均衡表", "一目雲", "雲圖", "轉折線", "基準線", "先行帶", "遲行線", "ichimoku", "ichimoku cloud", "tenkan sen", "kijun sen", "senkou span", "chikou span", "cloud breakout".
Screen US equities for parabolic exhaustion patterns and generate conditional pre-market short plans, then evaluate intraday trigger fires from live 5-min bars. Phase 1 daily 5-factor scorer (MA extension / acceleration / volume climax / range expansion / liquidity), Phase 2 per-candidate plans for ORL break / first-red 5-min / VWAP fail with explicit borrow / SSR / manual-confirmation gating, Phase 3 one-shot intraday FSM that detects trigger fires and resolves concrete share counts. Covers Phase 1 + Phase 2 + Phase 3.
Retrieve market capitalization data for a single company using Octagon MCP. Use when you need the current market value, valuation context, or size classification for any publicly traded stock.
Root-cause a reconciliation break to its source transaction or posting — follow the audit trail from the break row back to the originating entry on each side and state what differs and why. Use after gl-recon has classified a break.
Connect to MotherDuck from any application. Use when setting up database connectivity via the Postgres endpoint (recommended), pg_duckdb, native DuckDB API, or JDBC. Covers connection strings, authentication, SSL, and environment variable configuration.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
通过Eureka专利数据平台查询专利家族信息，包括简单同族、INPADOC同族和PatSnap同族。当用户提到专利家族、专利家族搜索、简单同族、INPADOC同族、PatSnap家族、同族专利查找、专利等同、家族成员、查找跨国相关专利、Eureka专利家族、patent family, family patents, patent equivalents, cross-border patents, Eureka, INPADOC family, simple family时触发此技能。即使用户未明确说"专利家族"，只要其需求涉及查询一项或多项专利的家族成员、等同专利或相关跨国申请，也应触发此技能。
Generate a Wren MDL project by exploring a database with available tools (SQLAlchemy, database drivers, MCP connectors, or raw SQL). Guides agents through schema discovery, type normalization, and MDL YAML generation using the wren CLI. Use when: user wants to create or set up a new MDL, onboard a new data source, or scaffold a project from an existing database.