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Found 804 Skills
Use when scaffolding production-ready FastAPI services with uv, SQLAlchemy, Alembic, Postgres, Docker, and CI gates.
Control which data each viewer sees in an embedded Domo dashboard/card via server-side programmatic filters and dataset switching. Covers the OAuth → embed token flow, standard filters, SQL filters (OR/BETWEEN/LIKE), per-dataset targeting, datasetRedirects for multi-tenant architectures, and token size limits. Use for any per-viewer, per-role, or per-tenant data restrictions at embed time. Not for client-side JS API filtering (use cap-de-jsapi-filters).
Run and interact with KarpathyTalk, an open markdown-based developer social network with GitHub auth, SQLite, and an LLM-friendly JSON/markdown API.
Treasure Data platform help — enterprise AI-native CDP with profile unification, audience segmentation, journey orchestration, 400+ connectors, AI Marketing Cloud suites. Use when setting up Treasure Data CDP, unifying customer profiles across channels, building audience segments in Treasure Data, activating audiences to ad platforms or CRMs, configuring Treasure Data connectors or integrations, writing SQL queries in Treasure Data, troubleshooting Treasure Data workflows or jobs, or working with the TD API. Do NOT use for general CRM data quality without Treasure Data context — use /sales-data-hygiene instead.
Type-safe SQL query building with Kysely for PostgreSQL. Covers query patterns, ExpressionBuilder, JSONB/arrays, migrations, and common pitfalls. Use when writing Kysely queries, creating migrations, debugging type issues, or working with a Kysely codebase.
Every Stripe feature, plus a local SQLite mirror with FTS, cross-entity SQL, and analytics no other Stripe tool ships. Trigger phrases: `stripe customer health`, `stripe dunning queue`, `stripe health`, `stripe payout reconcile`, `subs about to expire`, `use stripe-pp-cli`, `run stripe-pp-cli`.
Drizzle ORM for type-safe SQL with PostgreSQL, MySQL, and SQLite. Use when defining schemas, writing queries, managing relations, running migrations, or using drizzle-kit. Use for drizzle, orm, schema, query, migration, pgTable, relations, drizzle-kit, drizzle-zod.
Build end-to-end ETL pipelines and analytics dashboards using the Harvard Art Museums API with Python, SQL, and Streamlit
Use when working with Lightdash YAML files, dbt models with Lightdash metadata, the lightdash CLI (deploy, upload, download, preview, lint, warehouse-catalog, sql, set-warehouse), or managing charts, dashboards, spaces and access, AI agents, scheduled content, users, groups, custom roles, metrics, and dimensions as code
Generates Logging Query Language (LQL) queries for Google Cloud Logging from natural language. Use this skill when you need to query log data or when you are debugging issues. You can filter log data by Google Cloud service. Don't use this skill to query other databases, such as SQL or Spanner.
Operate Teable bases — tables, fields, views, records, SQL queries, automations, apps, and web scraping. Trigger when user mentions Cuppy, Teable, teable CLI, or Teable-style IDs (bseXXX, tblXXX, fldXXX, recXXX, viwXXX), or wants to manage tables/fields/records, build dashboards/apps, generate charts, create automations, import/export data, trigger AI fill, or scrape websites (LinkedIn, Amazon, YouTube, etc.) — even if they don't explicitly say "Teable" but are clearly working with a Teable base.
Assists in provisioning instances and databases, designing performant schemas, and querying data in Spanner. Use when designing primary keys, writing SQL queries or client library code, or diagnosing performance issues.