ad-first-marketing
Skill0 starsChanged 6 months agoMITView on GitHub
This skill focuses on ad creation and optimization while respecting organic posting constraints. Primary Focus: Ads (15x ROAS baseline) Organic Constraint: Manual posting preferred by algorithm Goal: Scale ad performance while building organic foundation
In this repository79 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- afrexai-community-growth-engineSkill
- agent-fleet-statusSkill
- agentgramSkill
- ai-cold-emailSkill
- answeroverflowSkill
- answeroverflowSkill
- api-gatewaySkill
- apple-notesSkill
- autonomous-operatorSkill
- autonomous-revenueSkill
- brand-analyzerSkill
- brand-identitySkill
- brand-operatorSkill
- browser-useSkill
- byteroverSkill
- calendlySkill
- clawdcursorSkill
- clawd-provisionerSkill
- client-acquisitionSkill
- cold-email-writerSkill
- cold-outreachSkill
- Community ManagerSkill
- community-mod-packSkill
- competitive-ads-extractorSkill
- competitor-analyzerSkill
- content-engineSkill
- content-qa-scorerSkill
- content-repurposeSkill
- cron-automatorSkill
- daily-brief-generatorSkill
- deep-researchSkill
- elite-longterm-memorySkill
- email-responderSkill
- fathom-tele-tvSkill
- fleet-commanderSkill
- frontend-designSkill
- gogSkill
- himalayaSkill
- imsgSkill
- internet-marketingSkill
- klaviyoSkill
- knowledge-extractorSkill
- koino-frontendSkill
- lead-research-assistantSkill
- lead-scorerSkill
- macos-calendarSkill
- marketing-drafterSkill
- marketingSkill
- marketing-strategy-pmmSkill
- master-marketingSkill
- meeting-prepSkill
- moltbookSkill
- moltguardSkill
- objection-destroyerSkill
- ontologySkill
- pipeline-autopilotSkill
- marketing-ideasSkill
- proactive-agentSkill
- proposal-generatorSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 85
Fathom/Tele.tv: Call and video recording analysis
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
SKILL.md - Ad-First Marketing Engine
This skill focuses on ad creation and optimization while respecting organic posting constraints.
Current Strategy
Primary Focus: Ads (15x ROAS baseline) Organic Constraint: Manual posting preferred by algorithm Goal: Scale ad performance while building organic foundation
Ad Creation Workflow
1. Content Discovery & Processing
- Google Drive Scan:
gog drive search "type:video OR type:audio" --max 100 - Content Analysis:
brand-operator content analyze <file> --focus "ad-potential" - Call Insights:
fathom-tele-tv insights <recordings> --type "ad-content" - Content Scoring:
utari ai score <content> --criteria "ad-quality"
2. Ad Script Generation
- Script Creation:
utari ads create --product "Bryson's offer" --insights <insights> - Tone Customization:
utari ads edit <id> --tone "conversational" - Platform Optimization:
utari ads optimize <id> --platform "facebook" - A/B Variations:
utari ads variations <id> --count 5
3. Campaign Management
- Campaign Setup:
brand-operator campaigns create --name "Campaign Name" --type "ads" - Ad Assignment:
brand-operator campaigns add <campaignId> <ads> - Targeting Setup:
brand-operator campaigns target <campaignId> --audience "target-audience" - Budget Allocation:
brand-operator campaigns budget <campaignId> --amount "1000"
4. Performance Tracking
- ROAS Monitoring:
brand-operator analytics roas <campaignId> - Engagement Metrics:
brand-operator analytics engagement <campaignId> - Conversion Tracking:
brand-operator analytics conversions <campaignId> - Optimization Alerts:
brand-operator campaigns alerts <campaignId>
Organic Content Strategy
Content Preparation (for manual posting)
- Content Categorization:
brand-operator content categorize <content> - Hashtag Research:
utari trends hashtags --topic "Bryson's niche" - Post Timing:
utari analytics best-times --platform "instagram" - Content Scheduling:
brand-operator content schedule <content> --times <times>
Manual Posting Support
- Content Briefs:
utari content brief <content> --platform "instagram" - Caption Generation:
utari captions create --content <content> - Visual Recommendations:
utari visuals recommend <content> - Post Templates:
brand-operator templates get "organic-post"
Integration with Existing Workflow
Morning Routine (30 min)
- Ideation:
utari ideas brainstorm --topic "Bryson's business" - Content Review:
brand-operator content review --new - Call Analysis:
fathom-tele-tv process --new-recordings - Script Generation:
utari ads create --insights <new-insights>
Campaign Optimization
- Performance Review:
brand-operator analytics review --campaign <campaignId> - Ad Testing:
utari ads test <ads> --metrics "engagement,conversions" - Budget Adjustment:
brand-operator campaigns adjust <campaignId> --metric "ROAS" - Scaling Decisions:
brand-operator campaigns scale <winner> --factor 1.5
Success Metrics
Ad Performance
- ROAS Target: 15x+ (current baseline)
- CTR Target: 2%+ (industry standard)
- Conversion Rate: 3%+ (high-quality traffic)
- Cost Per Acquisition: Under $50 (profitable)
Organic Growth
- Engagement Rate: 5%+ (algorithm-friendly)
- Follower Growth: 10% monthly increase
- Content Velocity: 5+ posts per week
- Lead Generation: 20+ leads per month from organic
Tool Requirements
Core Tools
- Utari: Ad scripting and AI content creation
- Brand Operator: Campaign management and analytics
- gog: Google Drive content discovery
- Fathom/Tele.tv: Call and video recording analysis
Optional Enhancements
- Canva API: Visual content creation
- Hootsuite API: Social media scheduling (for non-organic posts)
- Google Analytics: Deeper performance tracking
- Facebook Ads API: Direct ad management
Notes
- Respects manual posting preference for organic content
- Focuses ad automation on performance optimization
- Integrates with existing 30-minute morning routine
- Scales systematically while maintaining quality
- Provides clear metrics for decision-making
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

