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 42 of 83
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bio-metagenomics-abundanceSkillDatabases & data
Species abundance estimation using Bracken with Kraken2 output. Redistributes reads from higher taxonomic levels to species for more accurate estimates. Use when accurate species-level abundances are needed from Kraken2 classification output.
Ready to connect★ 178
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bio-single-cell-batch-integrationSkillDatabases & data
Integrate multiple scRNA-seq samples/batches using Harmony, scVI, Seurat anchors, and fastMNN. Remove technical variation while preserving biological differences. Use when integrating multiple scRNA-seq batches or datasets.
Ready to connect★ 178
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database-accessSkillDatabases & data
Workflow for retrieving public omics datasets, sequences, annotations, and literature-linked biological resources.
Ready to connect★ 178
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ehr-analysisSkillDatabases & data
End-to-end EHR predictive modeling pipeline with PyHealth, covering dataset loading, task definition, model training, evaluation, calibration, and clinical interpretation.
Ready to connect★ 178
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frappe-core-cacheSkillDatabases & data
Use when implementing Redis caching, cache invalidation, or distributed locking in Frappe. Prevents stale cache bugs, race conditions from missing locks, and memory bloat from unbounded cache keys. Covers frappe.cache(), @redis_cache decorator, cache.get_value/set_value, cache invalidation patterns,
Ready to connect★ 178
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frappe-core-databaseSkillDatabases & data
Use when performing database operations in ERPNext/Frappe v14-v16. Covers frappe.db methods, ORM patterns (frappe.get_doc, frappe.get_list), raw SQL, caching patterns, and performance optimization. Prevents common mistakes with database transactions and query building. Keywords: frappe.db, frappe.ge
Ready to connect★ 178
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frappe-errors-databaseSkillDatabases & data
Use when handling database errors in Frappe/ERPNext. Covers DuplicateEntryError, LinkValidationError, MandatoryError, TimestampMismatchError, CharacterLengthExceededError, InReadOnlyMode, QueryTimeoutError, SQL injection errors, frappe.db.sql parameter format (% vs %s), get_value returning None, tra
Ready to connect★ 178
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frappe-errors-hooksSkillDatabases & data
Use when debugging hooks.py errors in Frappe/ERPNext. Covers hook not firing (typo, wrong dict structure), circular imports, app_include_js path errors, scheduler_events not running, doc_events on wrong DocType, permission_query_conditions SQL errors, override_doctype_class import failures, extend_d
Ready to connect★ 178
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frappe-errors-serverscriptsSkillDatabases & data
Use when debugging or preventing errors in Frappe Server Scripts. Prevents ImportError (the #1 error), NameError for restricted builtins, sandbox violations, doc_events not firing, wrong script type selection, SQL injection, permission denied in scheduled scripts, infinite loops, and API scripts not
Ready to connect★ 178
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frappe-impl-reportsSkillDatabases & data
Use when building Script Reports, Query Reports, dashboard charts, or Number Cards in ERPNext. Prevents empty report output from wrong column definitions, broken filters, and unoptimized SQL in large datasets. Covers Report Builder, Script Report (Python + JS), Query Report, Report filters, dashboar
Ready to connect★ 178
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frappe-ops-performanceSkillDatabases & data
Use when tuning MariaDB, configuring Redis memory, sizing Gunicorn workers, setting up CDN, or profiling slow queries. Prevents performance bottlenecks from default configurations, memory exhaustion, and unoptimized database queries. Covers MariaDB tuning, Redis configuration, Gunicorn worker sizing
Ready to connect★ 178
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frappe-syntax-query-builderSkillDatabases & data
Use when building database queries with frappe.qb in Frappe v14-v16. Covers the PyPika-based query builder: SELECT, INSERT, UPDATE, DELETE, joins, aggregation, subqueries, cross-DB compatibility (MariaDB/PostgreSQL), and migration from raw SQL. Prevents SQL injection and DB-specific bugs. Keywords:
Ready to connect★ 178
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frappe-syntax-reportsSkillDatabases & data
Use when building Query Reports, Script Reports, or configuring Report Builder, including chart data integration. Prevents report errors from wrong column definitions, missing permissions, and incorrect data formatting. Covers Query Report (SQL-based), Script Report (Python-based), Report Builder, r
Ready to connect★ 178
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frappe-testing-cicdSkillDatabases & data
Use when setting up CI/CD pipelines for Frappe apps, configuring GitHub Actions test workflows, or adding linting and security scanning. Prevents broken CI from incorrect test matrix configuration, missing MariaDB/Redis services, and uncaught code quality issues. Covers GitHub Actions workflows, tes
Ready to connect★ 178
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query-geoSkillDatabases & data
Query NCBI GEO for gene expression datasets. Use when user asks about RNA-seq datasets, microarray data, expression data, GEO accessions, or finding public datasets. Triggers on "geo", "gene expression omnibus", "expression dataset", "RNA-seq dataset", "microarray dataset", "GSE", "GDS".
Ready to connect★ 178
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query-uniprotSkillDatabases & data
Query UniProt protein database. Use when user asks about protein sequences, functions, annotations, domains, or protein identifiers. Triggers on "uniprot", "protein function", "protein sequence", "gene product", "protein info".
Ready to connect★ 178
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adbcSkillDatabases & data
Connect to and work with databases using Arrow Database Connectivity (ADBC). Use whenever the user needs to use a database.
Ready to connect★ 175
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apache-arrowSkillDatabases & data
Expert guidance for Apache Arrow, the cross-language columnar memory format for analytics workloads. Helps developers use Arrow for high-performance data interchange between systems, zero-copy reads, and efficient columnar processing in Python (PyArrow) and JavaScript (Arrow JS).
Ready to connect★ 175
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azure-databricksSkillDatabases & data
Expert knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Unity Catalog, Lakeflow/Lakebase, SQL warehouses, Mod
Ready to connect★ 175
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azure-synapse-analyticsSkillDatabases & data
Expert knowledge for Azure Synapse Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when working with Synapse SQL pools, Spark pools, Synapse
Ready to connect★ 175
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azureml-scaffoldingSkillDatabases & data
Scaffold, structure, and manage AI/ML projects that run on AzureML. Covers project initialization (uv workspaces, devcontainers, Makefile), Python packaging with explicit dependencies, local and cloud execution, experiment reproducibility, and extensibility patterns (pipelines, datasets, linting). U
Ready to connect★ 175
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bigquery-ai-mlSkillDatabases & data
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, detect outliers, or leverage generative AI capabilities in BigQuery.
Ready to connect★ 175
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bigquery-basicsSkillDatabases & data
Manages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources (datasets, tables, views), or perform basic data ingestion and analysis.
Ready to connect★ 175
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cassandraSkillDatabases & data
Apache Cassandra is a distributed NoSQL database designed for high availability and linear scalability.
Ready to connect★ 175
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cdc-streaming-pipelineSkillDatabases & data
Build a real-time change-data-capture pipeline from a transactional database (Aurora DSQL, Aurora Postgres, RDS) to Redshift Serverless, S3, or any other sink, via Kinesis Data Streams (or MSK). Covers producer setup, consumer Lambda correctness, the append-only event log + reconstruction pattern, s
Ready to connect★ 175
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connecting-to-data-sourceSkillDatabases & data
Create and troubleshoot AWS Glue connections to JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS), Redshift, Snowflake, and BigQuery. Gathers connection hints from user, discovers existing connections and RDS/Redshift candidates, registers credentials in Secrets Manager or IAM DB auth, con
Ready to connect★ 175
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cortex-codeSkillDatabases & data
Routes Snowflake-related operations to Cortex Code CLI for specialized Snowflake expertise. Use when user asks about Snowflake databases, data warehouses, SQL queries on Snowflake, Cortex AI features, Snowpark, dynamic tables, data governance in Snowflake, Snowflake security, or mentions "Cortex" ex
Ready to connect★ 175
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creating-data-lake-tableSkillDatabases & data
Create managed Iceberg tables using Amazon S3 Tables (s3tables API namespace) with automatic compaction and snapshot management. Sets up table bucket, namespace, table, schema, Glue catalog registration, partitioning, IAM access control. Triggers on: create table, data lake table, analytics table, s
Ready to connect★ 175
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csv-querySkillDatabases & data
Run SQL queries against CSV/TSV/Excel files using Polars SQL engine
Ready to connect★ 175
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data-catalog-and-discoverySkillDatabases & data
Guides agents through data catalog, discovery, and metadata quality workflows. Use when publishing datasets, improving discoverability, curating lineage metadata, or making data products easier for other teams to find and trust.
Ready to connect★ 175
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.