Skills.
Give your AI a better way to work.
A skill is a set of written instructions that teaches an AI how to do one job the way it should be done: review a pull request, plan a migration, write the release notes.
Install one here and it travels with your account into Claude, Claude Code, Cursor and every other client you sign in with.
Category: Databases & data
2,461 results · page 43 of 83
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database-observabilitySkillDatabases & data
Grafana Cloud Database Observability — query-level performance insights for MySQL and PostgreSQL. Covers setup with Grafana Alloy, query samples, visual explain plans, RED metrics, pg_stat_statements and Performance Schema integration, and correlation with application traces. Use when monitoring dat
Ready to connect★ 175
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database-redshiftSkillDatabases & data
Amazon Redshift expert. Deep expertise in columnar storage, distribution styles, sort keys, Redshift Serverless, Spectrum, data sharing, materialized views, and query optimization. WHEN: "Redshift", "Amazon Redshift", "Redshift Serverless", "Redshift Spectrum", "distribution key", "sort key", "DISTK
Ready to connect★ 175
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databricks-dbsqlSkillDatabases & data
Databricks SQL (DBSQL) advanced features and SQL warehouse capabilities. This skill MUST be invoked when the user mentions: "DBSQL", "Databricks SQL", "SQL warehouse", "SQL scripting", "stored procedure", "CALL procedure", "materialized view", "CREATE MATERIALIZED VIEW", "pipe syntax", "|>", "geospa
Ready to connect★ 175
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databricks-jobsSkillDatabases & data
Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI. Use when creating data engineering jobs with notebooks, Python wheels, SQL, dbt, or pipelines. Invoke BEFORE starting implementation.
Ready to connect★ 175
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databricks-pipelinesSkillDatabases & data
Develop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks. Use when building batch or streaming data pipelines with Python or SQL. Invoke BEFORE starting implementation.
Ready to connect★ 175
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dataplex-and-bigquery-governanceSkillDatabases & data
Guides agents through GCP-native data governance workflows with Dataplex and BigQuery. Use when designing lakes, zones, policy tags, metadata quality, lineage, discovery, and governed publishing across Cloud Storage, BigQuery, Dataflow, Dataproc, and Google Cloud analytics platforms.
Ready to connect★ 175
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datarobot-data-preparationSkillDatabases & data
Tools and guidance for data upload, dataset management, data validation, and preparing data for DataRobot projects. Use when uploading datasets, managing data, or validating data for DataRobot.
Ready to connect★ 175
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db2-rhelSkillDatabases & data
Use when installing, configuring, or managing IBM DB2 LUW on RHEL 9 (and AlmaLinux/Rocky 9) — instance creation, database administration, buffer pool and tablespace management, backup/restore with HADR, performance tuning (db2advis, db2pd, MON functions), runstats/reorg, SELinux contexts, firewalld
Ready to connect★ 175
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dbt-analytics-engineeringSkillDatabases & data
Builds and modifies dbt models, writes SQL transformations using ref() and source(), creates tests, and validates results with dbt show. Use when doing any dbt work - building or modifying models, debugging errors, exploring unfamiliar data sources, writing tests, or evaluating impact of changes.
Ready to connect★ 175
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dbt-testingSkillDatabases & data
dbt testing strategies using dbt_constraints for database-level enforcement, generic tests, and singular tests. Use this skill when implementing data quality checks, adding primary/foreign key constraints, creating custom tests, or establishing comprehensive testing frameworks across bronze/silver/g
Ready to connect★ 175
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dynamic-tables-tutorialSkillDatabases & data
Interactive tutorial that teaches Snowflake Dynamic Tables hands-on. The agent guides users step-by-step through building data pipelines with automatic refresh, incremental processing, and CDC patterns. Use when the user wants to learn dynamic tables, build a DT pipeline, or understand DT vs streams
Ready to connect★ 175
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etl-integration-nifiSkillDatabases & data
Apache NiFi specialist for flow-based data integration, routing, and provenance tracking. Deep expertise in processors, FlowFiles, connections, process groups, clustering, record-oriented processing, and NiFi 2.x modernization. WHEN: \"Apache NiFi\", \"NiFi\", \"NiFi processor\", \"FlowFile\", \"pro
Ready to connect★ 175
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flinkSkillDatabases & data
Apache Flink stream processing expertise for stateful computations over bounded and unbounded streams. Use when the user mentions Flink, Flink SQL, Table API, DataStream API, CDC, Kafka-to-Flink pipelines, checkpoints, savepoints, watermarks, windows, Flink Kubernetes Operator, or Flink integrations
Ready to connect★ 175
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ingesting-into-data-lakeSkillDatabases & data
Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift, Snowflake, BigQuery, DynamoDB, or existing Glue catalog tables (migration). Default target is S3 Tables; standard Iceberg on a general purpose bucket
Ready to connect★ 175
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oracle-databaseSkillDatabases & data
Oracle Database guidance for SQL, PL/SQL, SQLcl, ORDS, administration, app development, performance, security, migrations, and agent-safe database workflows. Use when the user asks to write, edit, rewrite, review, format, debug, tune, or explain SQL; create or refactor PL/SQL; use SQLcl, Liquibase,
Ready to connect★ 175
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oracledbSkillDatabases & data
Use these skills to manage and monitor Oracle databases by executing SQL statements, exploring schema metadata, analyzing query performance, monitoring active sessions and resource consumption, and managing storage and object health.
Ready to connect★ 175
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academic-trend-researchSkillDatabases & data
Research emerging academic trends by combining scholarly databases, web sources, and news to identify rising research areas, breakthrough papers, and shifting scientific consensus. Ideal for R&D teams tracking frontier science.
Ready to connect★ 164
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data-enrichmentSkillDatabases & data
Enrich any entity — companies, domains, emails, or people — with verified data from multiple sources. Combines Apollo, Strale, LinkedIn, and Akta data to fill gaps in your CRM, lead databases, or research datasets with production-quality enrichment.
Ready to connect★ 164
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industry-landscapeSkillDatabases & data
Map any industry's competitive landscape using company databases, academic research, news coverage, LinkedIn activity, and job market signals. Produces industry overviews with key players, market segments, growth indicators, and emerging disruptors.
Ready to connect★ 164
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influencer-analyticsSkillDatabases & data
Analyze influencer performance metrics across TikTok, Instagram, YouTube, Bilibili, and Kuaishou. Compare engagement rates, audience growth, content consistency, and cross-platform presence for data-driven partnership decisions.
Ready to connect★ 164
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podcast-researchSkillDatabases & data
Research podcasts, episodes, and audio content by searching YouTube (where most podcasts crosspost), web sources, and transcript databases. Discover relevant shows, track guest appearances, and analyze topic coverage in the podcast ecosystem.
Ready to connect★ 164
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claim-verifySkillDatabases & data
Use when the user has a results draft or a set of data-backed claims and wants each one adversarially verified against the underlying dataset before publishing — a pre-publication red-team of the findings. Extracts the discrete checkable claims from the draft, reproduces each claim's number against
Ready to connect★ 169
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optimize-loopSkillDatabases & data
Use when the user wants to iteratively improve an artifact under a hard correctness bound while minimizing a measured cost — refactoring a code module to cut complexity while its test suite stays green, OR speeding up a SQL query while it returns the same rows. Each iteration applies one focused cha
Ready to connect★ 169
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scientific-writerSkillDatabases & data
Use when the user has a scientific draft (with its dataset, figures, and optional analysis code) and wants it iteratively revised until it clears a quality bar. Five specialist judges (figures, scientific content, style, formatting, code) critique the draft; a fresh, independent peer_reviewer grades
Ready to connect★ 169
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comprehensive-variant-annotationSkillDatabases & data
Given an rsID, query multiple databases (dbSNP, FAVOR, GWAS Catalog, ClinVar, gnomAD, PharmGKB, ClinGen) for comprehensive annotation. Use when user asks a general question about a variant without specifying which aspect.
Ready to connect★ 167
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gene-knowledge-integrationSkillDatabases & data
Given a gene symbol (e.g. TPMT), query 3 public databases (ClinGen CAR, PharmGKB, Monarch) to obtain gene registry info, FDA drug labels, clinical annotations, and gene-phenotype associations. Save all results into a JSON file.
Ready to connect★ 167
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dbSkillDatabases & data
Use when inspecting, debugging, or understanding the GOAT PostgreSQL database — querying projects, layers, users, orgs, teams, roles, scenarios, jobs, or checking data state during local dev.
Ready to connect★ 165
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windmillSkillDatabases & data
Use when working with GOAT's Windmill instance — running or syncing analytics tools, inspecting job execution, adding a new tool, or checking which f/goat/tools/* scripts exist. Use the Windmill MCP tools for API calls.
Ready to connect★ 165
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chem-db-mofSkillDatabases & data
Query multiple MOF databases (QMOF via MPContribs; ARC-MOF DB7/Majumdar et al. via Zenodo) and download CIF structures with optional element or identifier filters.
Ready to connect★ 164
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chem-db-qmofSkillDatabases & data
Query the Quantum MOF (QMOF) database via Materials Project's MPContribs platform for DFT-computed properties (bandgap) and optimized crystal structures of Metal-Organic Frameworks.
Ready to connect★ 164
What is a skill?
A skill is plain text, usually a SKILL.md file and the scripts it refers to, written for an AI rather than for a person. It carries the steps, the house rules and the examples a good answer needs, so you stop pasting the same briefing into every new chat.
54,764 of the 55,196 skills listed here can be served through ahel today, and they come from public repositories. Each one has its own page with the instructions themselves on it, so you can read what a skill will tell your AI to do before you install it.
Install one and every AI you use gets it
Installing a skill adds it to your gateway and turns it on in the same step. Claude Code surfaces it as a slash command; any client can read the full instructions with the skill_read tool.
Nothing is copied into a project folder. The instructions are served from your account, so the same skill is there in every AI you connect, and turning it off removes it from all of them at once.