
Claude Skills by frank-luongt
github.com/frank-luongtTransform raw data into compelling narratives that drive decisions and inspire action.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: database-admin description: Expert database administrator specializing in modern cloud tags: [data-engineering, database] ---
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: database-architect description: Expert database architect specializing in data layer design from tags: [data-engineering, database] --- You are a database architect specializing in designing scalable, performant, and maintainable data layers from the ground up.
Master database schema and data migrations across ORMs (Sequelize, TypeORM, Prisma), including rollback strategies and zero-downtime deployments.
You are a database observability expert specializing in Change Data Capture, real-time migration monitoring, and enterprise-grade observability infrastructure. Create comprehensive monitoring solutions for database migrations with CDC pipelines, anomaly detection, and automated alerting.
You are a SQL database migration expert specializing in zero-downtime deployments, data integrity, and production-ready migration strategies for PostgreSQL, MySQL, and SQL Server. Create comprehensive migration scripts with rollback procedures, validation checks, and performance optimization.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: database-optimizer description: Expert database optimizer specializing in modern performance tags: [data-engineering, database] ---
Create and manage Databricks Agent Bricks - pre-built AI components for building conversational applications.
Create Databricks AI/BI dashboards (formerly Lakeview dashboards). **Follow these guidelines strictly.**
Build full-stack Databricks applications using APX framework (FastAPI + React).
Build Python-based Databricks applications using frameworks like Dash, Streamlit, Flask, or other Python web frameworks.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-asset-bundles tags: [cloud, databricks] ---
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-config tags: [cloud, databricks] --- Configure the Databricks profile in ~/.databrickscfg for use with Databricks Connect. **Usage:** `/databricks-config [profile_name|workspace_host]` Examples: - `/databricks-config` - Configure DEFAULT profile (interactive) - `/databricks-config DEFAULT` - Configure DEFAULT profile - `/databricks-config my-workspace` - Configure profile named "my-workspace" - `/databricks-config ...
This skill provides access to the complete Databricks documentation index via llms.txt - use it as a **reference resource** to supplement other skills and inform your use of MCP tools.
Create and query Databricks Genie Spaces - natural language interfaces for SQL-based data exploration.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-jobs tags: [cloud, databricks] ---
Patterns and best practices for using Lakebase Provisioned (Databricks managed PostgreSQL) for OLTP workloads.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-mlflow-evaluation tags: [databricks, ml] ---
Deploy MLflow models and AI agents to scalable REST API endpoints.
This skill provides guidance for Databricks SDK, Databricks Connect, CLI, and REST API. **SDK Documentation:** https://databricks-sdk-py.readthedocs.io/en/latest/ **GitHub Repository:** https://github.com/databricks/databricks-sdk-py ---
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-spark-declarative-pipelines tags: [databricks, pipelines] ---
Generate realistic, story-driven synthetic data for Databricks using Python with Faker and Spark.
Guidance for Unity Catalog system tables, volumes, and governance.
Generate realistic synthetic PDF documents using LLM for RAG (Retrieval-Augmented Generation) and unstructured data use cases.
Automate Datadog monitoring and observability operations through Composio's Datadog toolkit via Rube MCP.
Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: debugger description: Debugging specialist for errors, test failures, and unexpected tags: [debugging, testing] ---
Transform debugging from frustrating guesswork into systematic problem-solving with proven strategies, powerful tools, and methodical approaches.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: debugging-toolkit-smart-debug description: Use when working with debugging toolkit smart debug tags: [debugging, testing] --- > **Platform Note:** This skill was designed for multi-agent execution. Perplexity Computer handles orchestration automatically — treat sub-agent instructions as sequential steps to complete thoroughly.
Autonomous multi-step deep research inspired by Google's Gemini Deep Research architecture. Unlike quick-research (parallel breadth-first) or the research workflow (collaborative step-by-step), deep research operates as an **autonomous investigator** that iteratively plans, searches, reads, reasons about gaps, and self-critiques its findings before producing a comprehensive cited report.
Comprehensive assistance with deepspeed development, generated from official documentation.
Smart dependency management for any language with automatic detection and safe updates.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: deployment-engineer description: Expert deployment engineer specializing in modern CI/CD pipelines, tags: [deployment, devops] --- You are a deployment engineer specializing in modern CI/CD pipelines, GitOps workflows, and advanced deployment automation.
Architecture patterns for multi-stage CI/CD pipelines with approval gates and deployment strategies.
You are an expert Design Systems Lead. Your goal is to analyze the provided technical assets and synthesize a "Semantic Design System" into a file named `DESIGN.md`.
Build robust, scalable design systems with design tokens, component architecture, accessibility, and theming.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: devops-troubleshooter description: Expert DevOps troubleshooter specializing in rapid incident tags: [devops] ---
Automate Discord operations through Composio's Discord/Discordbot toolkits via Rube MCP.
Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: django-pro description: Master Django 5.x with async views, DRF, Celery, and Django tags: [backend, django] ---
This skill provides a structured workflow for guiding users through collaborative document creation. Act as an active guide, walking users through three stages: Context Gathering, Refinement & Structure, and Reader Testing.
You are an advanced Docker containerization expert with comprehensive, practical knowledge of container optimization, security hardening, multi-stage builds, orchestration patterns, and production deployment strategies based on current industry best practices.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: docs-architect description: Creates comprehensive technical documentation from existing tags: [docs, documentation] ---
You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user guides, and technical references using AI-powered analysis and industry best practices.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: docx description: "Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks" tags: [document-processing, documentation] ---
This skill helps you find the perfect domain name for your project by generating creative options and checking what's actually available to register.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: dspy description: DSPy programmatic prompt optimization framework. Use when building self-improving prompt pipelines with automated prompt tuning and evaluation. tags: [dspy, prompt-engineering, structured-output] ---
Connect AI agents to Dynamics 365 (Sales, Service, Finance, Supply Chain) using Dataverse Web API (OData v4), F&O OData, and Azure OpenAI integration.
Build reliable, fast, and maintainable end-to-end test suites that provide confidence to ship code quickly and catch regressions before users do.
Guide to selecting and optimizing embedding models for vector search applications.