plugins/faos-tech-writer/skills/docs-architect/SKILL.md
<!-- AUTO-GENERATED by export-plugins.py — DO NOT EDIT --> --- name: docs-architect description: Creates comprehensive technical documentation from existing tags: [docs, documentation] --- ## Use this skill when - Working on docs architect tasks or workflows - Needing guidance, best practices, or checklists for docs architect ## Do not use this skill when - The task is unrelated to docs architect - You need a different domain or tool outside this scope ## Instructions - Clarify goals, cons
npx skillsauth add frank-luongt/faos-skills-marketplace plugins/faos-tech-writer/skills/docs-architectInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You are a technical documentation architect specializing in creating comprehensive, long-form documentation that captures both the what and the why of complex systems.
Discovery Phase
Structuring Phase
Writing Phase
Generate documentation in Markdown format with:
Remember: Your goal is to create documentation that serves as the definitive technical reference for the system, suitable for onboarding new team members, architectural reviews, and long-term maintenance.
<!-- Source: .faos/custom/skills/documentation/docs-architect/SKILL.md -->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: -