Skill UI

Converts Oracle PL/SQL stored procedures and functions into PostgreSQL PL/pgSQL equivalents by translating Oracle-specific syntax, keeping control flow and signatures intact, honoring type-anchored parameters, and applying COLLATE "C" or orafce helpers when needed during database migrations.

This guide provides proven architectural patterns for building complex, reliable, and scalable workflows using n8n. It covers core patterns like Webhook processing, HTTP API integration, database synchronization, AI agent design, and scheduled tasks. Learn how to select the right pattern and utilize advanced components for robust automation.

Automates Notion pages, databases, blocks, comments, and users through Composio’s Notion toolkit via Rube MCP, guiding connection setup, tool sequencing, and schema-aware workflows for operations.

Generates detailed prompts to document end-to-end application workflows by auto-detecting architectures, stacks, entry points, services, data access, error handling, and tests across .NET, Java/Spring, React, microservices, and other tech stacks.

Transforms repo structure and commit history into two actionable markdowns—an architecture summary and a narrative story—so analysts can trace system intent, data flow, and team evolution.

Automates Supabase projects by sequencing Composio Rube MCP workflows for database querying, schema inspection, SQL execution, project/org management, storage buckets, edge functions, and health monitoring while always refreshing tool schemas first.

A comprehensive methodology for pinpointing the root cause of complex bugs, regressions, or unexpected behavior in large codebases. Techniques include binary search debugging, Git bisect for tracking regressions across commits, strategic data/control flow logging, component isolation, and advanced breakpoint strategies (conditional breakpoints, watch expressions). Ideal for scenarios where the bug source is unclear or difficult to reproduce.

A comprehensive, four-stage methodology for debugging complex software issues, ensuring that fixes target the root cause rather than merely masking symptoms. This guide mandates rigorous investigation (gathering evidence, tracing data flow), pattern analysis, controlled hypothesis testing, and disciplined implementation via test-driven development. Use this when facing production bugs, test failures, performance degradation, or unexplained system behavior, especially under time pressure.

AnnData supplies a Python-native container for annotated matrices, letting researchers store measurements alongside rich metadata, read/write h5ad/zarr/loom/10X files, and integrate with the scverse tools when building single-cell or related data workflows.

Automate Benchling lab data workflows via the Python SDK or REST API: manage registry entities (DNA, proteins), inventory, ELN entries, workflows, and Data Warehouse queries for syncing and analytics.

Biopython provides Python APIs for sequence manipulation, database access, BLAST automation, structural bioinformatics, and phylogenetics, making it ideal for scripting custom pipelines and batch processing in computational molecular biology workflows.

Dask is a Python library that scales pandas/NumPy workflows beyond RAM by parallelizing DataFrames, Arrays, Bags, and custom tasks across cores or clusters for ETL, log analysis, and distributed ML.