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Found 10 Skills
Seed or import data into the Convex database.
Search, query, and manage Weaviate vector database collections. Use for semantic search, hybrid search, keyword search, natural language queries with AI-generated answers, collection management, data exploration, filtered fetching, data imports from CSV/JSON/JSONL files, create example data and collection creation.
Comprehensive guide for PostgreSQL psql - the interactive terminal client for PostgreSQL. Use when connecting to PostgreSQL databases, executing queries, managing databases/tables, configuring connection options, formatting output, writing scripts, managing transactions, and using advanced psql features for database administration and development.
Migrate data from Notion, Confluence, Google Drive, Airtable, Marvin, Condens, EnjoyHQ, Productboard, or local files into Dovetail using the dt CLI.
Import geospatial files into the data warehouse via CARTO, export results back out, and prepare tilesets for fast map rendering.
Use the Polygres CLI to authenticate, create standard or synchronized PostgreSQL projects, select and inspect projects, write one standard-project record through the public Runtime rows surface, import data, apply migrations, configure graph, text, or Polygres AI Context retrieval, manage Runtime keys and durable operations, and check readiness. Use for documented managed-project operations through public CLI workflows. Use polygres-troubleshooting for evidence-first diagnosis of an unexplained failure.
Implement and extend PostHog Data warehouse import sources. Use when adding a new source under posthog/temporal/data_imports/sources, adding datasets/endpoints to an existing source, or adding incremental sync support, pagination, credentials validation, and source tests.
Define initial seed data for Steedos objects using .data.json, .data.yml, or .data.csv files in main/default/data/. Records are imported on service startup (insert-only) and on space initialization (upsert). Covers file naming, record structure, _id requirement, template variables (${space_id}, ${space_owner_id}), EJSON date format, and import behavior (onlyInsert vs upsert).
Import CSV or Excel files into seekdb vector database and manage collections. Supports automatic vectorization of specified columns using embedding functions. When users need to: (1) Read and preview Excel files, (2) Import CSV/Excel data into seekdb, (3) Create vector collections from tabular data, (4) Vectorize specific text columns for semantic search, (5) Batch insert product/document data with embeddings, (6) Delete collections, or (7) Access sample data files (sample_products.csv/xlsx) for testing - IMPORTANT: sample files are located in this skill's example-data/ directory, you MUST read this skill file first to get the correct path.
Use the `surreal` command-line binary to run a SurrealDB server (in-memory, RocksDB, SurrealKV, or TiKV), open an interactive or piped SQL REPL, import and export databases, check server readiness, upgrade the binary, repair storage, and manage SurrealML models. Use this skill whenever users run, connect to, back up, restore, or operate SurrealDB from the terminal. Triggers: surreal start, surreal sql, surreal import, surreal export, surreal isready, surreal upgrade, surreal fix, surreal ml, SurrealDB CLI, surreal server.