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.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
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: grpo-rl-training description: GRPO reinforcement learning training with TRL. Use when applying Group Relative Policy Optimization for reasoning and task-specific model training. --- # GRPO/RL Training with TRL Expert-level guidance for implementing Group Relative Policy Optimization (GRPO) using the Transformer Reinforcement Learning (TRL) library. This skill provides battle-tested patterns, critical insights, and production-r
tools
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: graphql-architect description: Master modern GraphQL with federation, performance optimization, --- ## Use this skill when - Working on graphql architect tasks or workflows - Needing guidance, best practices, or checklists for graphql architect ## Do not use this skill when - The task is unrelated to graphql architect - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: grafana-dashboards description: Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces. --- # Grafana Dashboards Create and manage production-ready Grafana dashboards for comprehensive system observability. ## Do not use this skill when - The task is unrelated
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: gptq description: GPTQ post-training quantization for generative models. Use when quantizing large models to 4-bit with calibration-based weight compression. --- # GPTQ (Generative Pre-trained Transformer Quantization) Post-training quantization method that compresses LLMs to 4-bit with minimal accuracy loss using group-wise quantization. ## When to use GPTQ **Use GPTQ when:** - Need to fit large models (70B+) on limited GPU