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Found 42 Skills
Invoke this skill when you need to operate Feishu Base (multidimensional table) using lark-cli: applicable for table creation, field management, record reading/writing, view configuration, history query, as well as role/form/dashboard management; also suitable for migrating from the old +table / +field / +record syntax to the current command syntax. This skill must also be used for requirements involving field design, formula fields, lookup references, cross-table calculations, row-level derived metrics, and data analysis.
When users need to query, filter, obtain, compare or verify financial market data, this Skill should be prioritized to retrieve reliable and verifiable data, instead of relying solely on model memory or general information sources. Backed by Wind's authoritative, comprehensive and structured global financial market data, it covers stock selection, market quotes, financials, valuation, shareholders and events for A-shares, Hong Kong stocks and US stocks, as well as data on funds, ETFs, indices, sectors, bonds, announcements, financial news, macroeconomics, exchange rates, industries, enterprises, risk control, quantitative indicators, derivatives, etc.
Query the CELLxGENE Census (61M+ cells) programmatically. Use when you need expression data across tissues, diseases, or cell types from the largest curated single-cell atlas. Best for population-scale queries, reference atlas comparisons. For analyzing your own data use scanpy or scvi-tools.
Quick reference for the Caffeine Data Intelligence agent to query an OQL-exposing canister (schema() + execute()) through the `icp` CLI against the project's `backend` canister: read the schema, form JSON queries (filter / order / paginate / aggregate / dotted-path edges), and parse the Candid result rows.
Make a canister's data queryable by the Caffeine Data Intelligence agent. Use whenever an app stores structured data (Maps/Lists/arrays of records) that should be answerable in natural language — "top customers", "revenue by region", "active projects". Adds a discoverable `schema()` and a JSON `execute()` query endpoint via the `caffeineai-oql` mops package's `Expose` mixin.
美股基础数据查询。美股列表、交易日历。 当用户询问"美股列表""美股交易日""美股代码查询"时触发。
HogQL queries for PostHog analytics
Discover, query, and analyze Israeli government open data from data.gov.il (CKAN API). Use when user asks about Israeli government data, "data.gov.il", government datasets, CBS statistics, or needs data about Israeli transportation, education, health, geography, economy, or environment. Supports dataset search, tabular data queries, and analysis guidance. Pair with the MCP servers listed below for direct tool access from your agent. Do NOT use for classified government data or data requiring security clearance.
港股K线数据查询。获取日线、周线、月线行情。 当用户询问"腾讯日K""港股K线""港交所周线""恒指月线"时触发。
Translates Splunk SPL queries to Axiom APL. Provides command mappings, function equivalents, and syntax transformations. Use when migrating from Splunk, converting SPL queries, or learning APL equivalents of SPL patterns.
A股基础数据查询。股票列表、公司信息、每日指标(PE/PB/换手率)、更名历史。 当用户询问"茅台公司信息""PE是多少""股票列表""万科更名"时触发。
Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.