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Found 34 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.
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.
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.
REQUIRED before generating any DQL queries. Provides critical syntax rules, common pitfalls, and patterns. Load this skill BEFORE writing DQL to avoid syntax errors.
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.
Build React TypeScript web applications using Docyrus as a backend. Use when creating or modifying apps that authenticate with Docyrus OAuth2, fetch/mutate data via the @docyrus/api-client library, use auto-generated collections for CRUD operations, or build queries with filters, aggregations, formulas, pivots, and child queries against Docyrus data sources. Triggers on tasks involving @docyrus/api-client, @docyrus/signin, Docyrus collections, data source queries, or Docyrus-backed React app development.
Write and debug TypeQL queries for TypeDB 3.8+. Use when working with TypeDB schemas, data queries, insertions, deletions, or functions. Covers schema definition, CRUD operations, pattern matching, aggregations, and common pitfalls.
Enables Claude to create, manage, and query databases in Airtable via Playwright MCP
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.
中国国家统计局公开数据查询技能，当用户想查询经济、CPI、GDP、人口、房价指数等数据时触发。
Use the Docyrus Architect MCP tools to manage data sources, fields, enums, apps, and query data in the Docyrus platform. Use when the user asks to create, update, delete, or query data sources, fields, enum options, or apps via the docyrus-architect MCP server. Also use when building reports, dashboards, or performing data analysis that requires querying Docyrus data sources with filters, aggregations, formulas, pivots, or child queries.
Query APIs, files, and live sources using Coral SQL. Use when the user asks about data from GitHub, Slack, Linear, Datadog, Sentry, or other connected sources.