meta-ads
GitHub指导Meta广告（FB/IG）的设置、优化与管理，涵盖Campaign结构、Advantage+自动化、受众定位及创意策略。适用于Meta Ads、Pixel、Conversions API等场景，提供从搭建到优化的全流程最佳实践。
Trigger Scenarios
Install
npx skills add sediman-agent/OpenSkynet --skill meta-ads -g -y
SKILL.md
Frontmatter
{
"name": "meta-ads",
"metadata": {
"version": "1.1.1"
},
"description": "When the user wants to set up, optimize, or manage Meta (Facebook\/Instagram) Ads. Also use when the user mentions \"Meta Ads,\" \"Facebook Ads,\" \"Instagram Ads,\" \"Meta Pixel,\" \"Conversions API,\" \"Advantage+,\" \"lookalike audience,\" or \"Meta retargeting.\" For landing pages, use landing-page-generator."
}
Paid Ads: Meta Ads
Guides Meta (Facebook/Instagram) Ads setup, campaign structure, audience targeting, and creative optimization. Meta excels at demand generation and visual products; use when creating demand or when creative assets are strong.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Campaign Structure
Hierarchy: Campaign → Ad Set → Ad (3 levels)
Principle: One objective per campaign. Multiple campaigns for the same objective split budget and data, slowing the algorithm's learning phase. Consolidate by objective; focus on clean structure and data-led decisions.
Account
├── Campaign: Prospecting
│ ├── Ad Set: Lookalike 1%
│ └── Ad Set: Broad (Advantage+)
├── Campaign: Retargeting
└── Campaign: Testing
Naming: META_[Objective]_[Audience]_[Offer]_[Date] (e.g., META_Conv_Lookalike-Customers_FreeTrial_2024Q1)
Advantage+ & Automation
| Feature | Use |
|---|---|
| Advantage+ Shopping Campaigns | E-commerce; automatic audience discovery |
| Dynamic Ads | Product catalog; auto-generated creative |
| Automatic Placements | Let Meta optimize across Feed, Stories, Reels |
| Advantage+ Audience | Broad targeting; algorithm finds converters |
Provide diverse creative assets to enable multiple ad formats; algorithm performs better with variety.
Campaign Objectives
| Objective | Use when |
|---|---|
| Awareness | Reach; brand recall |
| Traffic | Clicks to site |
| Conversions | Leads; sales; app installs |
| Engagement | Video views; post engagement |
Audience Targeting
| Type | Best for |
|---|---|
| Lookalikes | Base on best customers (by LTV), not all customers |
| Interest/behavior | Broad; let algorithm optimize |
| Advantage+ | Automated; fewer manual controls |
| Retargeting | Website visitors; engagers; custom audiences |
Exclusions: Existing customers; recent converters (7–14d).
Creative Best Practices
- Image: Clear product; before/after; human faces; text <20%
- Video (15–30s): Hook 0–3s; problem 3–8s; solution 8–20s; CTA 20–30s
- Placements: Feed (FB/IG); Stories/Reels; vertical for Stories
- Volume: 3–5 ad variants per ad set for testing
Optimization
- Learning phase: 50+ conversions per ad set per week to exit; avoid frequent changes during learning
- CBO vs ABO: Campaign Budget Optimization consolidates spend; use when scaling
- Frequency: <3 to avoid fatigue
- Creative refresh: Plan continuous testing; creative fatigue is a main lever—refresh when performance drops
Tracking
- Meta Pixel + Conversions API: Server-side for better attribution
- Events API: App events; server-to-server
Pre-Launch Checklist
- Pixel installed; Conversions API configured
- Conversion events firing correctly
- Landing page mobile-friendly; fast load
- 3+ ad creatives per ad set
- Audience exclusions set
Related Skills
- paid-ads-strategy: Channel selection; creative frameworks; budget allocation
- landing-page-generator: LP for paid traffic
- analytics-tracking: Conversion tracking; ROAS
Version History
- c9d8953 Current 2026-07-05 20:01
