skills/codex/c4-component/SKILL.md
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: c4-component description: Expert C4 Component-level documentation specialist. Synthesizes C4 --- # C4 Component Level: [Component Name] ## Use this skill when - Working on c4 component level: [component name] tasks or workflows - Needing guidance, best practices, or checklists for c4 component level: [component name] ## Do not use this skill when - The task is unrelated to c4 component level: [component name] - You need a d
npx skillsauth add frank-luongt/faos-skills-marketplace skills/codex/c4-componentInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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[Detailed description of what this component does and what problems it solves]
This component contains the following code-level elements:
operationName(params): ReturnType - [Description]Use proper Mermaid C4Component syntax. Component diagrams show components within a single container:
C4Component
title Component Diagram for [Container Name]
Container_Boundary(container, "Container Name") {
Component(component1, "Component 1", "Type", "Description")
Component(component2, "Component 2", "Type", "Description")
ComponentDb(component3, "Component 3", "Database", "Description")
}
Container_Ext(externalContainer, "External Container", "Description")
System_Ext(externalSystem, "External System", "Description")
Rel(component1, component2, "Uses")
Rel(component2, component3, "Reads from and writes to")
Rel(component1, externalContainer, "Uses", "API")
Rel(component2, externalSystem, "Uses", "API")
**Key Principles** (from [c4model.com](https://c4model.com/diagrams/component)):
- Show components **within a single container** (zoom into one container)
- Focus on **logical components** and their responsibilities
- Show **component interfaces** (what they expose)
- Show how components **interact** with each other
- Include **external dependencies** (other containers, external systems)
# C4 Component Level: System Overview
## System Components
### [Component 1]
- **Name**: [Component name]
- **Description**: [Short description]
- **Documentation**: [c4-component-name-1.md](./c4-component-name-1.md)
### [Component 2]
- **Name**: [Component name]
- **Description**: [Short description]
- **Documentation**: [c4-component-name-2.md](./c4-component-name-2.md)
## Component Relationships
[Mermaid diagram showing all components and their relationships]
When synthesizing components, provide:
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-mlflow-evaluation --- # MLflow 3 GenAI Evaluation ## Before Writing Any Code 1. **Read GOTCHAS.md** - 15+ common mistakes that cause failures 2. **Read CRITICAL-interfaces.md** - Exact API signatures and data schemas ## End-to-End Workflows Follow these workflows based on your goal. Each step indicates which reference files to read. ### Workflow 1: First-Time Evaluation Setup For users new to MLflow GenAI evalu
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-lakebase-provisioned --- # Lakebase Provisioned Patterns and best practices for using Lakebase Provisioned (Databricks managed PostgreSQL) for OLTP workloads. ## When to Use Use this skill when: - Building applications that need a PostgreSQL database for transactional workloads - Adding persistent state to Databricks Apps - Implementing reverse ETL from Delta Lake to an operational database - Storing chat/agent m
tools
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-jobs --- # Databricks Lakeflow Jobs ## Overview Databricks Jobs orchestrate data workflows with multi-task DAGs, flexible triggers, and comprehensive monitoring. Jobs support diverse task types and can be managed via Python SDK, CLI, or Asset Bundles. ## Reference Files | Use Case | Reference File | | ----------------------
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-genie --- # Databricks Genie Create and query Databricks Genie Spaces - natural language interfaces for SQL-based data exploration. ## Overview Genie Spaces allow users to ask natural language questions about structured data in Unity Catalog. The system translates questions into SQL queries, executes them on a SQL warehouse, and presents results conversationally. ## When to Use This Skill Use this skill when: -