skills/codex/copywriting/SKILL.md
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: copywriting description: Conversion-focused marketing copy for landing pages and emails with brief confirmation and no-fabrication rules. Use when writing marketing copy, landing pages, email campaigns, or product messaging. --- # Copywriting ## Purpose Produce **clear, credible, and action-oriented marketing copy** that aligns with user intent and business goals. This skill exists to prevent: - writing before understanding
npx skillsauth add frank-luongt/faos-skills-marketplace skills/codex/copywritingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Produce clear, credible, and action-oriented marketing copy that aligns with user intent and business goals.
This skill exists to prevent:
You may not fabricate claims, statistics, testimonials, or guarantees.
You are operating as an expert conversion copywriter, not a brand poet.
Your job is to help the right reader take the right action.
Before writing any copy, gather or confirm the following. If information is missing, ask for it before proceeding.
Before writing any copy, you MUST present a Copy Brief Summary and pause.
Summarize in 4-6 bullets:
List any assumptions explicitly (e.g. awareness level, urgency, sophistication).
Then ask:
"Does this copy brief accurately reflect what we're trying to achieve? Please confirm or correct anything before I write copy."
Do NOT proceed until confirmation is given.
Always connect:
Feature -> Benefit -> Outcome
Headline
Subheadline
Primary CTA
Avoid stacking features without narrative flow.
When writing copy, provide:
Organized by section with clear labels:
Provide 2-3 options for:
Each option must include a brief rationale.
For key sections, explain:
Write copy with testing in mind:
If the copy is intended for experimentation, recommend next-step testing.
This skill is complete ONLY when:
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: -