Published by Didoo AI — Your AI Media Buyer. One that actually knows you, built for SMBs. A skill system for Meta Ads strategy, execution, and analysis.

What is This System?

This is Didoo AI's Meta Ads Agent System — a set of 19 skills covering strategy, research, creative, execution, analysis, and reporting for Meta Ads campaigns.

For AI agents: This system is designed for modular use. Any skill can run independently or chain in sequence. Start with meta-ads-guide if you're unsure where to begin.

Meta Ads Skill Routing Guide

When to Use

This is the entry-point navigator for Didoo AI's Meta Ads workflow. New here? Start at the diagram below. Not sure which skill to use? Jump to the Quick Routing Table.

Skill Relationship Map

REFERENCE / ENTRY
├── meta-ads-guide (this file)
│       ├── meta-ads-fundamentals (core mechanisms)
│       └── meta-ads-capi-setup (tracking setup)

PLAN -- NEW CAMPAIGN
├── meta-ads-strategy (campaign design)
│       └── meta-ads-research (competitive intel)
│       └── meta-ads-budget-planning (budget allocation)

EXECUTE -- LAUNCH & MANAGE
├── meta-ads-builder (creative generation)
│       └── [creative output]
└── meta-ads-publisher (create/update campaigns)
        └── meta-ads-scale-campaign (scaling)
        └── meta-ads-daily-pulse (daily monitoring)

ANALYZE -- INTERPRET & DIAGNOSE
├── meta-ads-daily-pulse (daily auto-scan)
├── meta-ads-healthcheck (on-demand check)
└── meta-ads-weekly-performance (weekly report)
        │
        ├── meta-ads-drop-diagnosis
        ├── meta-ads-analysis
        ├── meta-ads-lead-gen-analysis
        ├── meta-ads-creative-fatigue
        └── meta-ads-audience-analysis
                │
                └── meta-ads-recommendation (single exit point for all analysis)
                        │
                        └── meta-ads-publisher (execution)

Quick Routing Table

Two Core Workflows

Workflow A -- New Campaign Launch

meta-ads-strategy -> meta-ads-research -> meta-ads-builder -> meta-ads-publisher
                                                                    |
                                                         meta-ads-daily-pulse
                                                                    |
                                                         meta-ads-analysis
                                                                    |
                                                         meta-ads-recommendation

Workflow B -- Problem Detection & Fix

meta-ads-healthcheck / meta-ads-daily-pulse
          | [flags problem]
meta-ads-drop-diagnosis
          | [root cause identified]
          ↓
    ┌─────────────────────────────────────────────┐
    │  Creative declining over time → creative-fatigue    │
    │  Audience or budget allocation → audience-analysis  │
    │  Lead gen campaign → lead-gen-analysis              │
    │  General / e-commerce → analysis                    │
    └─────────────────────────────────────────────┘
                              ↓
                   meta-ads-recommendation
                              ↓
meta-ads-publisher (execute) -> meta-ads-daily-pulse (monitor)

Important: meta-ads-analysis and meta-ads-lead-gen-analysis are mutually exclusive — they cover different campaign types. Choose one based on your campaign type. Do NOT run both in the same session.

Monitoring Cadence

Getting Started -- First Time Setup

Before running your first campaign:

1. Connect your Meta Ads account -- Ad Account ID (act_XXXXXXXXX) from Ads Manager + Access Token from Meta Developer Console.
2. Install Pixel + CAPI -- Without these, Meta can't optimize. See meta-ads-capi-setup.
3. Define your first campaign goal -- Lead gen / Conversions / Link Clicks / Awareness.
4. Set a realistic budget -- Minimum $10-15/day per adset. See meta-ads-budget-planning.
5. Launch -- meta-ads-strategy -> meta-ads-builder -> meta-ads-publisher (always launch PAUSED, review, then activate).
6. Wait 5-7 days -- Don't judge during Learning Phase. Changing things during Learning resets the clock.

Common First-Timer Mistakes

• Budget too low ($1-5/day) -- Learning Phase never completes
• Too many campaigns at once -- spread thin, none learns
• Expecting results in 24-48 hours -- give Meta time to optimize
• Changing too many things at once -- change one variable, then wait
• Not connecting CAPI -- CPA looks worse than reality

Key Constraint -- Analysis vs. Recommendation Boundary

• meta-ads-analysis (and its variants) -- explains what happened. Data only. Never tells you what to do.
• meta-ads-recommendation -- tells you what to do, why, and in what order. Requires analysis data first.
• Never output recommendations without running analysis first (or having existing data in session context).

Session Context Conventions

Analysis skills store their output in session context. Downstream skills read from there. This is the shared contract between skills.

Analysis -> Recommendation Data Flow

Cross-Skill Reference Rules

• Analysis skills never embed recommendation logic -- they store results and defer
• meta-ads-recommendation is the single exit point for all analysis outputs
• When one analysis skill routes to another (e.g., meta-ads-analysis -> meta-ads-lead-gen-analysis), preserve the original skill's context keys before overwriting
• When routing from meta-ads-recommendation back to execution, use meta-ads-publisher for all campaign changes

Session Key Collision — Resolved

meta-ads-analysis now writes lp_diagnosis_general; meta-ads-lead-gen-analysis writes lp_diagnosis. These keys no longer collide — they coexist. meta-ads-recommendation reads lp_diagnosis first (lead-gen-specific), falling back to lp_diagnosis_general if not present.