meta-ads

SKILL.md

Meta Ads Skill Router

This skill routes to the appropriate Meta advertising workflow based on the user's intent.

Step 1: Determine Intent

Analyze the user's request to determine which workflow is needed:

Plan Campaign (plan-campaign.md) - Use when:

  • Creating a new campaign from scratch
  • Designing campaign structure
  • Defining audiences for a new campaign
  • Creating ad creative briefs
  • Setting up budget allocation
  • User says: "create", "plan", "design", "new campaign", "launch"

Monitor Campaign (monitor-campaign.md) - Use when:

  • Reviewing campaign performance
  • Analyzing metrics
  • Making optimization decisions
  • Troubleshooting underperforming ads
  • User says: "check", "review", "analyze", "optimize", "performance", "metrics"

Step 2: Load the Workflow

Based on intent, read and follow the appropriate workflow file:

  • For planning: Read plan-campaign.md in this directory
  • For monitoring: Read monitor-campaign.md in this directory

Step 3: Load Reference as Needed

During the workflow, consult reference documentation as needed:

  • reference/campaign-structure.md - Campaign hierarchy and objectives
  • reference/audience-targeting.md - Audience strategies
  • reference/creative-best-practices.md - Creative guidelines
  • reference/metrics-kpis.md - Performance benchmarks
  • reference/optimization-rules.md - When and how to optimize

Quick Reference: 2026 Meta Ads Best Practices

  1. Simplified Structure: 2 campaigns (test + scale) outperforms fragmented approaches
  2. Creative is Targeting: Andromeda algorithm uses creative signals for delivery
  3. Advantage+ First: 65% of US advertisers use it as primary growth engine
  4. UGC Wins: Native-looking "ugly ads" outperform polished content
  5. Hook is Everything: First 3 seconds / 125 characters determine success
  6. 50 Events Rule: Ad sets need 50 conversions in 7 days to exit learning
  7. Mobile-First: 90% of inventory is vertical (9:16)
  8. Scale Gradually: 20-50% weekly budget increases to avoid learning resets
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