LabscoMCP early access ↗

Agent Skills

Instruction packs for your AI agent — browse standalone skills, tool add-ons and skills that need setup first.

✦ Standalone skills2,358

Listed for general use, with no separate prerequisite named.

🧰 Tool add-ons426

Listed as skills bundled with a specific tool, with no separate prerequisite named.

🔌 Needs setup first88

Each relies on something you set up separately — such as an app, a command-line tool or an account — and its page names what that is.

OverviewAllCloud ServiceCloud StorageCommunicationDatabaseDesignDevelopmentFile SystemFinanceMarketingMemoryOtherProductivitySearchVersion ControlWeb Scraping
Database ›All Database✓ OfficialAnalytics & WarehousesNoSQL & Key-ValueSQL DatabasesVector & Embeddings

redis · Database

88 standalone skills
github avatar

bigquery-pipeline-audit

✓★ 36,202

by github

Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

cosmosdb-datamodeling

✓★ 36,202

by github

Step-by-step guide for capturing key application requirements for NoSQL use-case and produce Azure Cosmos DB Data NoSQL Model design using best practices and common patterns, artifacts_produced: "cosmosdb_requirements.md" file and "cosmosdb_data_model.md" file

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

creating-oracle-to-postgres-master-migration-plan

✓★ 36,202

by github

Discovers all projects in a .NET solution, classifies each for Oracle-to-PostgreSQL migration eligibility, and produces a persistent master migration plan. Use when starting a multi-project Oracle-to-PostgreSQL migration, creating a migration inventory, or assessing which .NET projects contain Oracle dependencies.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

creating-oracle-to-postgres-migration-bug-report

✓★ 36,202

by github

Creates structured bug reports for defects found during Oracle-to-PostgreSQL migration. Use when documenting behavioral differences between Oracle and PostgreSQL as actionable bug reports with severity, root cause, and remediation steps.

AI impact score: 2 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

creating-oracle-to-postgres-migration-integration-tests

✓★ 36,202

by github

Creates integration test cases for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Generates DB-agnostic xUnit tests with deterministic seed data that validate behavior consistency across both database systems. Use when creating integration tests for a migrated project, generating test coverage for data access layers, or writing Oracle-to-PostgreSQL migration validation tests.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeSetup details
github avatar

fabric-lakehouse

✓★ 36,202

by github

Use this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data components, organization with schemas and shortcuts, access control, and code examples. This skill supports users in designing, building, and optimizing Lakehouse solutions using best practices.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

migrating-oracle-to-postgres-stored-procedures

✓★ 36,202

by github

Migrates Oracle PL/SQL stored procedures to PostgreSQL PL/pgSQL. Translates Oracle-specific syntax, preserves method signatures and type-anchored parameters, leverages orafce where appropriate, and applies COLLATE "C" for Oracle-compatible text sorting. Use when converting Oracle stored procedures or functions to PostgreSQL equivalents during a database migration.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

planning-oracle-to-postgres-migration-integration-testing

✓★ 36,202

by github

Creates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Analyzes a single project to identify repositories, DAOs, and service layers that interact with the database, then produces a structured testing plan. Use when planning integration test coverage for a migrated project, identifying which data access methods need tests, or preparing for Oracle-to-PostgreSQL migration validation.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

postgresql-code-review

✓★ 36,202

by github

PostgreSQL-specific code review assistant focusing on PostgreSQL best practices, anti-patterns, and unique quality standards. Covers JSONB operations, array usage, custom types, schema design, function optimization, and PostgreSQL-exclusive security features like Row Level Security (RLS).

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

postgresql-optimization

✓★ 36,202

by github

PostgreSQL-specific development assistant focusing on unique PostgreSQL features, advanced data types, and PostgreSQL-exclusive capabilities. Covers JSONB operations, array types, custom types, range/geometric types, full-text search, window functions, and PostgreSQL extensions ecosystem.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

power-bi-model-design-review

✓★ 36,202

by github

Comprehensive Power BI data model design review prompt for evaluating model architecture, relationships, and optimization opportunities.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

power-bi-performance-troubleshooting

✓★ 36,202

by github

Systematic Power BI performance troubleshooting prompt for identifying, diagnosing, and resolving performance issues in Power BI models, reports, and queries.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

power-bi-report-design-consultation

✓★ 36,202

by github

Power BI report visualization design prompt for creating effective, user-friendly, and accessible reports with optimal chart selection and layout design.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

powerbi-modeling

✓★ 36,202

by github

Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

qdrant-clients-sdk

✓★ 36,202

by github

Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.

AI impact score: 2 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.Free
github avatar

qdrant-deployment-options

✓★ 36,202

by github

Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud', or 'need lowest latency deployment'. Also use when choosing between deployment types for a new project.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeSetup details
github avatar

qdrant-monitoring

✓★ 36,202

by github

Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', or needs to set up Prometheus, Grafana, or health checks. Also use when debugging production issues that require metric analysis.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

qdrant-scaling

✓★ 36,202

by github

Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

qdrant-version-upgrade

✓★ 36,202

by github

Guidance on how to upgrade your Qdrant version without interrupting the availability of your application and ensuring data integrity.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

reviewing-oracle-to-postgres-migration

✓★ 36,202

by github

Identifies Oracle-to-PostgreSQL migration risks by cross-referencing code against known behavioral differences (empty strings, refcursors, type coercion, sorting, timestamps, concurrent transactions, etc.). Use when planning a database migration, reviewing migration artifacts, or validating that integration tests cover Oracle/PostgreSQL differences.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

scaffolding-oracle-to-postgres-migration-test-project

✓★ 36,202

by github

Scaffolds an xUnit integration test project for validating Oracle-to-PostgreSQL database migration behavior in .NET solutions. Creates the test project, transaction-rollback base class, and seed data manager. Use when setting up test infrastructure before writing migration integration tests, or when a test project is needed for Oracle-to-PostgreSQL validation.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeSetup details
github avatar

snowflake-semanticview

✓★ 36,202

by github

Create, alter, and validate Snowflake semantic views using Snowflake CLI (snow). Use when asked to build or troubleshoot semantic views/semantic layer definitions with CREATE/ALTER SEMANTIC VIEW, to validate semantic-view DDL against Snowflake via CLI, or to guide Snowflake CLI installation and connection setup.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

sql-code-review

✓★ 36,202

by github

Universal SQL code review assistant that performs comprehensive security, maintainability, and code quality analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Focuses on SQL injection prevention, access control, code standards, and anti-pattern detection. Complements SQL optimization prompt for complete development coverage.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

sql-optimization

✓★ 36,202

by github

Universal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Provides execution plan analysis, pagination optimization, batch operations, and performance monitoring guidance.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
langchain-ai avatar

query-writing

★ 25,749

by langchain-ai

Writes and executes SQL queries from simple SELECTs to complex multi-table JOINs, aggregations, and subqueries. Use when the user asks to query a database, write SQL, run a SELECT statement, retrieve data, filter records, or generate reports from database tables.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
langchain-ai avatar

schema-exploration

★ 25,749

by langchain-ai

Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
openai avatar

airtable-cli

✓★ 4,081

by openai

Lists bases, reads and writes records, manages tables and fields, filters and searches data in Airtable via the `airtable-mcp` CLI. Use when the task involves Airtable data or the user mentions airtable-mcp, bases, tables, records, or fields.

openai avatar

airtable-filters

✓★ 4,081

by openai

Use this skill when the user wants to find, filter, or narrow down Airtable records by field values, even when they don't explicitly say "filter."

openai avatar

airtable-overview

✓★ 4,081

by openai

Explains what Airtable is and how data is structured — bases, tables, fields, records, views, automations, and interfaces. Use when you need context about the Airtable data model.

supabase avatar

supabase

✓★ 2,311

by supabase

Use when doing ANY task involving Supabase. Triggers: Supabase products (Database, Auth, Edge Functions, Realtime, Storage, Vectors, Cron, Queues); client libraries and SSR integrations (supabase-js, @supabase/ssr) in Next.js, React, SvelteKit, Astro, Remix; auth issues (login, logout, sessions, JWT, cookies, getSession, getUser, getClaims, RLS); Supabase CLI or MCP server; schema changes, migrations, security audits, Postgres extensions (pg_graphql, pg_cron, pg_vector).

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.Free
Page 1 of 3Next