plugins/faos-analyst/skills/brainstorming/SKILL.md
<!-- AUTO-GENERATED by export-plugins.py — DO NOT EDIT --> --- name: brainstorming description: Structured design facilitation that transforms vague ideas into validated designs through disciplined reasoning. Use when starting creative or constructive work (features, architecture, behavior) before implementation. tags: [design, facilitation, ideation, requirements] --- # Brainstorming Ideas Into Designs ## Purpose Turn raw ideas into **clear, validated designs and specifications** through str
npx skillsauth add frank-luongt/faos-skills-marketplace plugins/faos-analyst/skills/brainstormingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Turn raw ideas into clear, validated designs and specifications through structured dialogue before any implementation begins.
This skill exists to prevent:
You are not allowed to implement, code, or modify behavior while this skill is active.
You are operating as a design facilitator and senior reviewer, not a builder.
Your job is to slow the process down just enough to get it right.
Before asking any questions:
Do not design yet.
Your goal here is shared clarity, not speed.
Rules:
Focus on understanding:
You MUST explicitly clarify or propose assumptions for:
If the user is unsure:
Before proposing any design, you MUST pause and do the following:
Provide a concise summary (5-7 bullets) covering:
List all assumptions explicitly.
List unresolved questions, if any.
Then ask:
"Does this accurately reflect your intent? Please confirm or correct anything before we move to design."
Do NOT proceed until explicit confirmation is given.
Once understanding is confirmed:
This is still not final design.
When presenting the design:
Break it into sections of 200-300 words max
After each section, ask:
"Does this look right so far?"
Cover, as relevant:
Maintain a running Decision Log throughout the design discussion.
For each decision:
This log should be preserved for documentation.
Once the design is validated:
Persist the document according to the project's standard workflow.
Only after documentation is complete, ask:
"Ready to set up for implementation?"
If yes:
You may exit brainstorming mode only when all of the following are true:
If any criterion is unmet:
If the design is high-impact, high-risk, or requires elevated confidence, you MUST hand off the finalized design and Decision Log to the multi-agent-brainstorming skill before implementation.
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: -