| name | gtme-marketing-voice |
| version | 4.0 |
| description | Marketing voice and content evaluation for GTME/builder-focused content. Built from analysis of 24 real LinkedIn posts. Checks for authenticity, substance, anti-AI-slop patterns, and brand safety for Shawn's Lead Alchemy brand. |
GTME Marketing Voice & Content Evaluation
The Core Problem This Solves
You're a builder-first GTME with ADHD pattern recognition who creates content that performs well when it's authentic and tactical. Your voice is an asset (casual, competent, technical, builder energy), but you have specific risks:
- AI slop detection: You can spot it in others but sometimes miss it in your drafts
- Over-optimization: Can spend hours perfecting posts instead of shipping
- Substance vs. performance: Risk of sounding like content instead of a person
- Technical depth calibration: Finding the right level for your mixed audience
This skill helps you create authentic, high-performing content that builds your GTME brand while staying true to your builder voice.
Skill Tree
Tier 1: Voice DNA (who you are - rarely changes)
These are your foundation. Every command, every platform, every context references these.
| File | What it covers |
|---|
core-voice.md | SDR origin, priority hierarchy, voice characteristics, voice modes, builder code, identity anchors, tool stack, audience, strengths, risks |
anti-slop.md | 14 patterns (10 critical + 4 context-dependent) + your natural patterns whitelist |
safety-filters.md | Pattern vs. person test |
Standalone Skills
Tier 2: Context Playbooks (how voice adapts - grows over time)
Each platform or audience gets its own playbook that inherits from Tier 1 but has its own rules.
| File | Status | What it covers |
|---|
linkedin.md | Active | 5 content pillars, emoji system, sign-off style, CTA types, comment strategy |
client-comms.md | Active | Email/deck/recap tone, diagnosis-impact-next structure |
internal-team.md | Active | Slack/Notion operational updates |
x-twitter.md | Active | Thread format, compression rules, cross-posting from LinkedIn |
youtube.md | Stub | Expanded walkthroughs, episode format |
tiktok.md | Active | Short-form video (TikTok/Reels/Shorts), 16-sec structure, 6 content series, cross-platform distribution |
Tier 3: Content Operations (what you do with the voice - used per task)
Checklists & Protocols:
Content Pillars (templates for each post type, built from real post analysis):
Workflows
| File | What it covers |
|---|
plays-index.md | Master index of all 16 GTM plays + unnumbered canonical workflows, tool frequency, repurpose potential |
tiktok-index.md | TikTok series tracking, episode queues, repurpose tracker, content calendar |
How Commands Use This Tree
Commands compose pieces from each tier based on what they need:
/review loads Tier 1 (all) + relevant Tier 2 context + pre-publish checklist + ai-pattern-detection/linkedin loads Tier 1 (all) + LinkedIn playbook + chosen pillar template/slop-check loads anti-slop.md for fast check, or ai-pattern-detection for full 29-flag scan/client-update loads Tier 1 core-voice + client-comms playbook/new-play loads plays-series pillar + plays-index + LinkedIn playbook/tiktokscript loads TikTok playbook + tiktok-index + viral-hooks + source material/finalcopy runs final review pass + strips markdown to platform-ready plain text for copy-paste
When to Use This Skill
Trigger on:
- Creating LinkedIn posts (any pillar)
- Reviewing content before publishing
- Writing client emails or status updates
- Drafting SOPs or documentation
- Any time you're creating public-facing GTM content
- Brand positioning questions
- "Does this sound like me?" checks
- Planning content for X, YouTube, TikTok expansion
Output:
- Evaluated content with specific improvements
- Rewritten content following voice principles
- Risk assessment for brand/business implications
- Pattern recognition about recurring issues
- Substance checks with concrete suggestions
- Pillar identification (which content type is this?)
