Required Credentials

Credential	Where to Get	Used For	OAuth Scope
META_ACCESS_TOKEN	Meta Developer Console → Graph API Explorer → Generate Token	Fetching campaign and adset data	`ads_read` (read-only)
META_AD_ACCOUNT_ID	Ads Manager URL: `adsmanager.facebook.com/act_XXXXXXXXX`	Identifying which account to query	—

When to Use

When user wants a quick "are my ads working?" check — not a deep diagnostic, just a status update. Use before a meeting, or any time something feels off.

	meta-ads-healthcheck	meta-ads-daily-pulse
Primary question	"Is this campaign healthy or not?"	"Did anything change vs. last week?"
Comparison basis	Fixed Green/Yellow/Red thresholds	Same day of prior week (WoW)
Best for	On-demand check when something feels wrong; meeting prep	Daily routine, morning scan
Output style	Campaign-by-campaign status report	Change alerts ranked by revenue impact

Step 1: Get the Basics

Pull the user's Meta Ads data for today and the past 7 days:

Campaign name, status, spend
Results, cost per result
CTR, frequency
Any alerts or issues (delivery low, learning limited, paused)

Use Meta Marketing API to fetch campaign and adset level data.

Step 2: Traffic Light Assessment

Score each campaign as Green / Yellow / Red:

Signal	Green	Yellow	Red
Delivery	Spending normally	< 80% of budget	< 50% or zero
Cost per result	At or below target	10–30% above target (and variance is normal)	30%+ above target and sustained (not just a spike)
Frequency	< 3	3–4	> 4
Learning	Out of learning	In learning (< 7 days)	Stuck in learning
CTR	> 1%	0.5–1%	< 0.5%

Step 3: Check for Normal Performance Fluctuations

Before flagging a campaign as Yellow or Red, confirm it's not normal fluctuation.

Normal fluctuation — monitor only:

CPA is bouncing around day-to-day (up to ±30%) but the rolling average is stable — this is normal Meta Ads volatility, not a problem
Weekend vs. weekday differences
Gradual changes over weeks
Variation while in Learning Phase

Concerning — investigate today:

CPA average has shifted up and stayed there for 3+ consecutive days (not just a one-day spike) — this is a real trend, not fluctuation
Delivery dropping to near zero with no budget change
Conversion rate declining while spend increases
Performance degradation after a recent edit

Before diagnosing problems, ask:

Is the ad set still in Learning Phase? (if yes, delay judgment — data is unstable)
What's the baseline for normal variation for this campaign?
Are there external factors — seasonality, competitor activity, or platform changes?
Is sample size sufficient? (typically need 7+ days of data for stable ad sets)

Step 4: Surface Key Issues

For each Yellow or Red campaign, identify:

What is the specific problem?
How urgent is it? (Needs attention today / this week / monitor)
What likely caused it?

Creative Refresh Trigger — Frequency > 3: When frequency reaches 3 or higher, flag the campaign as "Creative Refresh Needed": "Campaign [X] has frequency at [N] — audience is seeing the same ads too often. This typically causes CTR to drop and CPL to rise. Creative refresh is indicated."

Note: When this flag appears, the appropriate next step is meta-ads-recommendation — it will prescribe the specific creative refresh action based on the full analysis context. Do not trigger meta-ads-builder directly from this skill.

Step 5: Quick Output

Overall Status: [N] campaigns running | [N] Green | [N] Yellow | [N] Red

For each Red/Yellow campaign:

Campaign name
Status: [Issue]
Spend / Results / CPL
What happened (1 sentence)
Suggested focus area (1 sentence)

Everything else: brief healthy summary.

Priority Sort — What to Check First

When you have 10+ active campaigns:

Red campaigns with spend > $50/day → Check today
Yellow campaigns where CPL is 20%+ above target → Check today
New campaigns (< 7 days, still in Learning) → Flag as "Learning Phase — Do Not Judge Yet"
Green campaigns → Review weekly

When to Escalate

If the health check surfaces a real problem: suggest meta-ads-analysis for a full diagnostic
For daily routine monitoring: suggest meta-ads-daily-pulse instead

Skill Boundary

This is a quick scan, not a deep diagnostic — don't draw conclusions beyond what's clearly broken or healthy
Do not make optimization recommendations in this skill — that's meta-ads-recommendation's job
Do not re-fetch data if it was recently pulled in the same session

Required Credentials

Credential	Where to Get	Used For	OAuth Scope
META_ACCESS_TOKEN	Meta Developer Console → Graph API Explorer → Generate Token	Fetching campaign and adset data	`ads_read` (read-only)
META_AD_ACCOUNT_ID	Ads Manager URL: `adsmanager.facebook.com/act_XXXXXXXXX`	Identifying which account to query	—

When to Use

When user wants a quick "are my ads working?" check — not a deep diagnostic, just a status update. Use before a meeting, or any time something feels off.

	meta-ads-healthcheck	meta-ads-daily-pulse
Primary question	"Is this campaign healthy or not?"	"Did anything change vs. last week?"
Comparison basis	Fixed Green/Yellow/Red thresholds	Same day of prior week (WoW)
Best for	On-demand check when something feels wrong; meeting prep	Daily routine, morning scan
Output style	Campaign-by-campaign status report	Change alerts ranked by revenue impact

Step 1: Get the Basics

Pull the user's Meta Ads data for today and the past 7 days:

Campaign name, status, spend
Results, cost per result
CTR, frequency
Any alerts or issues (delivery low, learning limited, paused)

Use Meta Marketing API to fetch campaign and adset level data.

Step 2: Traffic Light Assessment

Score each campaign as Green / Yellow / Red:

Signal	Green	Yellow	Red
Delivery	Spending normally	< 80% of budget	< 50% or zero
Cost per result	At or below target	10–30% above target (and variance is normal)	30%+ above target and sustained (not just a spike)
Frequency	< 3	3–4	> 4
Learning	Out of learning	In learning (< 7 days)	Stuck in learning
CTR	> 1%	0.5–1%	< 0.5%

Step 3: Check for Normal Performance Fluctuations

Before flagging a campaign as Yellow or Red, confirm it's not normal fluctuation.

Normal fluctuation — monitor only:

CPA is bouncing around day-to-day (up to ±30%) but the rolling average is stable — this is normal Meta Ads volatility, not a problem
Weekend vs. weekday differences
Gradual changes over weeks
Variation while in Learning Phase

Concerning — investigate today:

CPA average has shifted up and stayed there for 3+ consecutive days (not just a one-day spike) — this is a real trend, not fluctuation
Delivery dropping to near zero with no budget change
Conversion rate declining while spend increases
Performance degradation after a recent edit

Before diagnosing problems, ask:

Is the ad set still in Learning Phase? (if yes, delay judgment — data is unstable)
What's the baseline for normal variation for this campaign?
Are there external factors — seasonality, competitor activity, or platform changes?
Is sample size sufficient? (typically need 7+ days of data for stable ad sets)

Step 4: Surface Key Issues

For each Yellow or Red campaign, identify:

What is the specific problem?
How urgent is it? (Needs attention today / this week / monitor)
What likely caused it?

Note: When this flag appears, the appropriate next step is meta-ads-recommendation — it will prescribe the specific creative refresh action based on the full analysis context. Do not trigger meta-ads-builder directly from this skill.

Step 5: Quick Output

Overall Status: [N] campaigns running | [N] Green | [N] Yellow | [N] Red

For each Red/Yellow campaign:

Campaign name
Status: [Issue]
Spend / Results / CPL
What happened (1 sentence)
Suggested focus area (1 sentence)

Everything else: brief healthy summary.

Priority Sort — What to Check First

When you have 10+ active campaigns:

Red campaigns with spend > $50/day → Check today
Yellow campaigns where CPL is 20%+ above target → Check today
New campaigns (< 7 days, still in Learning) → Flag as "Learning Phase — Do Not Judge Yet"
Green campaigns → Review weekly

When to Escalate

If the health check surfaces a real problem: suggest meta-ads-analysis for a full diagnostic
For daily routine monitoring: suggest meta-ads-daily-pulse instead

Skill Boundary

This is a quick scan, not a deep diagnostic — don't draw conclusions beyond what's clearly broken or healthy
Do not make optimization recommendations in this skill — that's meta-ads-recommendation's job
Do not re-fetch data if it was recently pulled in the same session

Meta Ads Healthcheck

Pourquoi utiliser ce modèle

Pour qui est-ce

Comment utiliser

Required Credentials

When to Use

Step 1: Get the Basics

Step 2: Traffic Light Assessment

Step 3: Check for Normal Performance Fluctuations

Step 4: Surface Key Issues

Step 5: Quick Output

Priority Sort — What to Check First

When to Escalate

Skill Boundary

Plus de modèles

Surveillance quotidienne des performances et du pacing

Recommandations d'optimisation des campagnes

L'exécution est maintenant votre avantage concurrentiel. Pas votre goulot d'étranglement.

Meta Ads Healthcheck

Pourquoi utiliser ce modèle

Pour qui est-ce

Comment utiliser

Required Credentials

When to Use

Step 1: Get the Basics

Step 2: Traffic Light Assessment

Step 3: Check for Normal Performance Fluctuations

Step 4: Surface Key Issues

Step 5: Quick Output

Priority Sort — What to Check First

When to Escalate

Skill Boundary

Plus de modèles

Surveillance quotidienne des performances et du pacing

Recommandations d'optimisation des campagnes

L'exécution est maintenant votre avantage concurrentiel. Pas votre goulot d'étranglement.