Meta Ads Skill Routing Guide

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.

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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.

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Monitoring Cadence

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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.

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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

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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).

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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.