Automate Ragic tasks via Rube MCP (Composio).
Calls rube
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Databases
Document database implementation for flexible schema applications.
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Read any data file (CSV, JSON, Parquet, Avro, Excel, spatial, SQLite) or remote URL (S3, HTTPS).
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Manage database schema changes safely with migration tools, zero-downtime strategies, and rollback procedures.
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Implement data quality validation with Great Expectations, dbt tests, and data contracts.
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Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow…
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Enables atomic, CLI-driven modification of 1C:Enterprise Data Composition Schemas (DCS) to manage fields, filters, and queries without…
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Loads 1C:Enterprise configuration files (.cf) and extensions into databases to automate environment setup and restoration.
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Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations.
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Schema design, normalization decisions, indexing strategies, and migration safety for relational databases.
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Supabase CLI for database management, Edge Functions, migrations, and local development.
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Serverless PostgreSQL on Vercel with edge-compatible SDK
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Guides Qdrant multi-tenant scaling. Use when someone asks 'how to scale tenants', 'one collection per tenant?', 'tenant isolation'…
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Diagnoses and fixes slow Qdrant search. Use when someone reports 'search is slow', 'high latency', 'queries take too long', 'low QPS'…
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Provides TypeScript patterns for DynamoDB-Toolbox v2 including schema/table/entity modeling, .build() command workflow, query/scan access…
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Use when writing database access code, creating schemas, or managing transactions with PostgreSQL - enforces transaction safety with TX_…
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PostgreSQL database patterns for query optimization, schema design, indexing, and security.
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Guide the user to add a data source, connection, or API connector to a Canvas App via Power Apps Studio, then verify and continue.
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Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load…
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Reflection-first problem solving methodology for Convex development.
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Build data ingestion pipelines for batch and streaming data from multiple sources.
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Databases agent skills on mcprush decide how an agent is allowed to touch data: what a query has to prove before it runs, what a migration must ship with, what a table has to be profiled for before anyone charts it. The kinds are workflow, expertise, output format, voice & style and guardrail, and the one a skill belongs to, where its author declared it, is the fastest way to guess what it will do to your prompt.
What to look at before installing one is what it costs in context and what it takes away: a guardrail that refuses an action and a voice that rewrites a sentence are both skills, and only one of them will stop the agent doing something. Every skill here says what it costs in context, which kind it is where its author declared one, what it needs beside it to work and the licence it is published under, next to the publisher it came from and whether that publisher has been verified. The filters on the left narrow it further and the sort at the top decides what comes first.
A skill is not connected to anything: there is no endpoint to authorise and nothing routed through the gateway. Installing one drops a folder of instructions into the client’s own skill folder, and uninstalling it is deleting that folder. The exact line for each client is on the skill’s own page, because it differs by client rather than by skill.