311 skills found · Page 6 of 11
timescale / migrate-postgres-tables-to-hypertablesUse this skill to migrate identified PostgreSQL tables to Timescale/TimescaleDB hypertables with optimal configuration and validation.
timescale / pgvector-semantic-searchUse this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search.
timescale / postgres-database-migrationUse this skill for planning, testing, and safely executing PostgreSQL schema migrations — especially when working with production data or shared databases.
timescale / setup-timescaledb-hypertablesUse this skill when creating database schemas or tables for Timescale, TimescaleDB, TigerData, or Tiger Cloud, especially for time-series, IoT, metrics, events, or log data. Use this to improve the performance of any insert-heavy table.
timescale / timescaledb-hyperfunctionsUse this skill when writing analytical SQL over time-series data with the TimescaleDB Toolkit (timescaledb_toolkit extension) hyperfunctions: approximate percentiles, statistical summaries, time-weighted averages, counter/gauge rates, uptime/heartbeat tracking, state durations, OHLC candlesticks, ap…
timescale / design-postgres-tablesUse this skill for general PostgreSQL table design. **Trigger when user asks to:** - Design PostgreSQL tables, schemas, or data models when creating new tables and when modifying existing ones.
timescale / find-hypertable-candidatesUse this skill to analyze an existing PostgreSQL database and identify which tables should be converted to Timescale/TimescaleDB hypertables.
timescale / postgresUse this skill for any PostgreSQL database work — table design, indexing, data types, constraints, extensions (pgvector, PostGIS, TimescaleDB), search, and migrations.
benchflow-ai / senior-data-engineerWorld-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, Flink, Kinesis, and modern data stack.
benchflow-ai / senior-data-scientistWorld-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence.
relaticle / relaticleOpen-source CRM your AI agents can read and update: companies, people, opportunities, tasks and notes. REST API, self-hosted or cloud.
dineug / erd-editorDesign database schemas as ERDs in your browser, VS Code, JetBrains IDEs or Obsidian. Import SQL, DBML and GraphQL, export DDL and code, and let coding agents edit live over MCP.
Kaelio / lookml_ingestMap a LookML view/model/explore into ktx semantic layer sources. Covers the LookML to ktx primitive table, provenance tagging, and three worked examples (overlay, standalone from derived_table, standalone with sql_always_where). Load when the turn contains `.lkml` content.
Kaelio / slktx's semantic layer - a structured catalog of sources (tables/views), measures, joins, and segments expressed as YAML. Covers the schema and how to query it via `sl_query`
Kaelio / historic_sql_patternsIdentify recurring cross-table historic-SQL analytical intents from a bounded pattern shard and emit typed pattern evidence for deterministic wiki projection.
Kaelio / historic_sql_table_digestConvert one changed historic-SQL table usage bucket into typed table usage evidence for deterministic _schema projection.
NPC-Worldwide / npcpyThe python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.
maxrave-dev / data-layer-footgunsRoom/SQLite, DataStore and repository traps: migrations, NOT IN with NULLs, LIKE escaping, delete order, local-time bucketing, imports, caching, paging. Use before writing a query or migration, or when data comes back wrong.
CloudAI-X / database-designDesigns database schemas, indexing strategies, query optimization, and migration patterns for SQL and NoSQL databases
designcomputer / mysql_mcp_serverA Model Context Protocol (MCP) server that enables secure interaction with MySQL databases
utkusen / sast-sqliDetect SQL injection vulnerabilities in a codebase using a three-phase approach: recon (find unsafe SQL construction sites), batched verify (trace user input to those sites in parallel subagents, 3 sites each), and merge (consolidate batch results).
uphiago / port-service-discoveryNmap scan for MySQL, Redis, FTP, SSH, internal API services.
uphiago / hunt-fastapiHunt FastAPI-specific vulnerabilities: dependency injection gaps, Pydantic coercion, and OpenAPI mining.
uphiago / hunt-djangoHunt Django-specific vulnerabilities: DRF permission gaps, ORM injection, and admin exploitation.
ai-evals-course / build-review-interfaceBuild a custom browser-based annotation interface tailored to your data for reviewing LLM traces and collecting structured feedback
Aaronontheweb / akka-net-aspire-configurationConfigure Akka.NET with .NET Aspire for local development and production deployments. Covers actor system setup, clustering, persistence, Akka.Management integration, and Aspire orchestration patterns.
microsoft / search-consumption-cliFinds Fabric items across every workspace with the Catalog Search API when the workspace is unknown, locating an item by display name, inventorying one item type tenant-wide, and returning the workspace and item IDs later calls need. Dataflow Gen1 and Gen2 items are not supported.
microsoft / synapse-migrationConverts Synapse workspaces to Fabric: Spark items, Lake Databases, Linked Services, and Dedicated SQL Pool schema/procedures for Lakehouse or Warehouse. During Pool-to-Lakehouse migration only, can migrate approved dependent procedure callers after notebook readiness.
microsoft / sqldw-cliManage Fabric Warehouse, Lakehouse SQL endpoints, and Mirrored Databases: DDL/DML, COPY INTO, read-only T-SQL, Query Insights diagnostics, and Capacity Metrics CU-spike correlation. Synapse migration target SQL belongs to synapse-migration; Fabric SQL database belongs to sqldb-cli.
microsoft / spark-cliManages Fabric Spark work, including notebook cell code with %%configure, %%sql, PySpark and notebookutils, named notebook runs, Livy sessions, triage of failed or OOM notebook and pipeline Spark runs, and the Materialized Lake View (MLV) lifecycle.
