Marketing command center. Email campaigns (Klaviyo), paid ads (Meta/Google), analytics (GA4), SEO, and social media metrics. One dashboard for all marketing channels.
npx skills add https://github.com/davepoon/buildwithclaude --skill ops-marketing
Before executing, load available context:
${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.jsontimezone — display all timestamps correctlyklaviyo_private_key, meta_ads_token, meta_ad_account_id, ga4_property_id, google_search_console_site — check userConfig keys before env varsgoogle_ads_developer_token, google_ads_client_id, google_ads_client_secret, google_ads_refresh_token, google_ads_customer_id, google_ads_login_customer_id — Google Ads credentials${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.jsonaction_needed is not null → surface it before running any channel queriesmcp__doppler__*) → Doppler CLI fallback (see Credential Resolution section below)| Endpoint | Method | Description |
|----------|--------|-------------|
| https://a.klaviyo.com/api/lists/?fields[list]=name,id,profile_count | GET | All lists + subscriber counts |
| https://a.klaviyo.com/api/campaigns/?filter=equals(messages.channel,'email')&sort=-created_at | GET | Recent campaigns |
| https://a.klaviyo.com/api/flows/?filter=equals(status,'live') | GET | Active flows |
| https://a.klaviyo.com/api/metrics/ | GET | Available metrics |
Auth header: Authorization: Klaviyo-API-Key ${KLAVIYO_KEY} | Revision header: revision: 2024-10-15
| Endpoint | Method | Description |
|----------|--------|-------------|
| https://graph.facebook.com/v18.0/${META_ACCOUNT}/insights?fields=spend,...&date_preset=last_7d | GET | Account-level ad spend |
| https://graph.facebook.com/v18.0/${META_ACCOUNT}/campaigns?fields=name,status,insights{...} | GET | Campaign breakdown |
| https://graph.facebook.com/v18.0/me/accounts?fields=instagram_business_account | GET | Linked Instagram account |
Auth header: Authorization: Bearer ${META_TOKEN}
| Endpoint | Method | Description |
|----------|--------|-------------|
| https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runReport | POST | Run custom report |
Auth: gcloud ADC — GA4_TOKEN=$(gcloud auth application-default print-access-token)
| Endpoint | Method | Description |
|----------|--------|-------------|
| https://searchconsole.googleapis.com/webmasters/v3/sites/${GSC_SITE_ENCODED}/searchAnalytics/query | POST | Search performance data |
Auth: Same gcloud ADC token as GA4
If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when gathering channel data in parallel. This enables:
Team setup (only when flag is enabled):
TeamCreate("marketing-team")
Agent(team_name="marketing-team", name="email-metrics", prompt="Pull Klaviyo subscriber counts, campaign stats, and flow metrics")
Agent(team_name="marketing-team", name="ads-metrics", prompt="Pull Meta Ads spend, ROAS, and campaign breakdown")
Agent(team_name="marketing-team", name="analytics-metrics", prompt="Pull GA4 sessions, conversions, and traffic sources")
Agent(team_name="marketing-team", name="seo-metrics", prompt="Pull Search Console clicks, impressions, and top queries")
If the flag is NOT set, use standard fire-and-forget subagents.
Resolve credentials in this order for each service:
KLAVIYO_KEY="${KLAVIYO_PRIVATE_KEY:-$(claude plugin config get klaviyo_private_key 2>/dev/null)}"
if [ -z "$KLAVIYO_KEY" ]; then
KLAVIYO_KEY="$(doppler secrets get KLAVIYO_PRIVATE_KEY --plain 2>/dev/null)"
fi
META_TOKEN="${META_ADS_TOKEN:-$(claude plugin config get meta_ads_token 2>/dev/null)}"
META_ACCOUNT="${META_AD_ACCOUNT_ID:-$(claude plugin config get meta_ad_account_id 2>/dev/null)}"
if [ -z "$META_TOKEN" ]; then
META_TOKEN="$(doppler secrets get META_ADS_TOKEN --plain 2>/dev/null)"
fi
GA4_PROPERTY="${GA4_PROPERTY_ID:-$(claude plugin config get ga4_property_id 2>/dev/null)}"
# GA4 uses gcloud application default credentials — check if configured:
gcloud auth application-default print-access-token 2>/dev/null
GSC_SITE="${GOOGLE_SEARCH_CONSOLE_SITE:-$(claude plugin config get google_search_console_site 2>/dev/null)}"
# Uses same gcloud ADC as GA4
GADS_API_VERSION="v23"
GADS_DEV_TOKEN="${GOOGLE_ADS_DEVELOPER_TOKEN:-$(claude plugin config get google_ads_developer_token 2>/dev/null)}"
GADS_CLIENT_ID="${GOOGLE_ADS_CLIENT_ID:-$(claude plugin config get google_ads_client_id 2>/dev/null)}"
GADS_CLIENT_SECRET="${GOOGLE_ADS_CLIENT_SECRET:-$(claude plugin config get google_ads_client_secret 2>/dev/null)}"
GADS_REFRESH_TOKEN="${GOOGLE_ADS_REFRESH_TOKEN:-$(claude plugin config get google_ads_refresh_token 2>/dev/null)}"
GADS_CUSTOMER_ID="${GOOGLE_ADS_CUSTOMER_ID:-$(claude plugin config get google_ads_customer_id 2>/dev/null)}"
GADS_LOGIN_CUSTOMER_ID="${GOOGLE_ADS_LOGIN_CUSTOMER_ID:-$(claude plugin config get google_ads_login_customer_id 2>/dev/null)}"
# Doppler fallback
if [ -z "$GADS_REFRESH_TOKEN" ]; then
GADS_REFRESH_TOKEN="$(doppler secrets get GOOGLE_ADS_REFRESH_TOKEN --plain 2>/dev/null)"
fi
if [ -z "$GADS_DEV_TOKEN" ]; then
GADS_DEV_TOKEN="$(doppler secrets get GOOGLE_ADS_DEVELOPER_TOKEN --plain 2>/dev/null)"
fi
# Strip dashes from customer ID (API requires no dashes)
GADS_CUSTOMER_ID="${GADS_CUSTOMER_ID//-/}"
# Refresh access token (expires in ~1 hour — always refresh before API calls)
GADS_ACCESS_TOKEN=$(curl -s -X POST https://oauth2.googleapis.com/token \
--data "client_id=${GADS_CLIENT_ID}" \
--data "client_secret=${GADS_CLIENT_SECRET}" \
--data "refresh_token=${GADS_REFRESH_TOKEN}" \
--data "grant_type=refresh_token" | jq -r '.access_token')
# Common headers for all Google Ads API calls
GADS_HEADERS=(-H "Content-Type: application/json" -H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" -H "developer-token: ${GADS_DEV_TOKEN}")
if [ -n "$GADS_LOGIN_CUSTOMER_ID" ]; then
GADS_HEADERS+=(-H "login-customer-id: ${GADS_LOGIN_CUSTOMER_ID}")
fi
Route $ARGUMENTS to the correct section below:
| Input | Action |
|---|---|
| (empty), dashboard | Run full marketing dashboard |
| email, klaviyo | Klaviyo email metrics |
| ads, meta | Meta Ads performance (read-only overview) |
| meta-manage, meta create-campaign, meta target, meta creative, meta rules, meta audiences, meta advantage | Meta Ads campaign management (see ## meta-manage section) |
| google-ads, gads | Google Ads dashboard + campaign management (see ## google-ads section) |
| analytics, ga4 | GA4 sessions + conversions |
| ga4 realtime, ga4 funnel, ga4 cohort, ga4 audience, ga4 pivot | GA4 advanced analytics (see ## ga4-advanced section) |
| seo, gsc | Search Console metrics |
| social | Social media aggregator |
| instagram, instagram post, instagram reel, instagram story, instagram insights, instagram demographics | Instagram publishing + insights (see ## instagram section) |
| campaigns | Cross-channel campaign overview (all platforms) |
| optimize | Cross-platform ad optimization agent |
| attribution | Unified attribution table (Meta + Google + Klaviyo + GA4) |
| setup | Configure API keys |
Pull Klaviyo metrics for last 30 days.
curl -s "https://a.klaviyo.com/api/lists/?fields[list]=name,id,profile_count" \
-H "Authorization: Klaviyo-API-Key ${KLAVIYO_KEY}" \
-H "revision: 2024-10-15" | jq '.data[] | {name: .attributes.name, id: .id, count: .attributes.profile_count}'
curl -s "https://a.klaviyo.com/api/campaigns/?filter=equals(messages.channel,'email')&sort=-created_at&page[size]=10&fields[campaign]=name,status,created_at,send_time" \
-H "Authorization: Klaviyo-API-Key ${KLAVIYO_KEY}" \
-H "revision: 2024-10-15" | jq '.data[] | {name: .attributes.name, status: .attributes.status, sent: .attributes.send_time}'
curl -s "https://a.klaviyo.com/api/flows/?filter=equals(status,'live')&fields[flow]=name,status,created,trigger_type" \
-H "Authorization: Klaviyo-API-Key ${KLAVIYO_KEY}" \
-H "revision: 2024-10-15" | jq '.data[] | {name: .attributes.name, trigger: .attributes.trigger_type}'
# Get metric IDs first
curl -s "https://a.klaviyo.com/api/metrics/" \
-H "Authorization: Klaviyo-API-Key ${KLAVIYO_KEY}" \
-H "revision: 2024-10-15" | jq '.data[] | select(.attributes.name | test("Opened Email|Clicked Email|Placed Order")) | {name: .attributes.name, id: .id}'
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
EMAIL (KLAVIYO) — last 30d
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Lists: [list_name] — [N] subscribers
Campaigns: [N sent] | [N drafts]
Active Flows: [N]
RECENT CAMPAIGNS
[name] [status] sent [date]
...
Pull Meta Ads insights for the configured ad account.
curl -s "https://graph.facebook.com/v18.0/${META_ACCOUNT}/insights?fields=spend,impressions,clicks,ctr,cpc,actions,action_values&date_preset=last_7d&level=account" \
-H "Authorization: Bearer ${META_TOKEN}" | jq '{spend: .data[0].spend, impressions: .data[0].impressions, clicks: .data[0].clicks, ctr: .data[0].ctr, cpc: .data[0].cpc}'
curl -s "https://graph.facebook.com/v18.0/${META_ACCOUNT}/campaigns?fields=name,status,daily_budget,lifetime_budget,insights{spend,impressions,clicks,actions,action_values}&date_preset=last_7d" \
-H "Authorization: Bearer ${META_TOKEN}" | jq '.data[] | {name: .name, status: .status, spend: .insights.data[0].spend}'
From action_values array: extract action_type == "purchase" value, divide by spend.
curl -s "https://graph.facebook.com/v18.0/${META_ACCOUNT}/ads?fields=name,adset_id,insights{spend,impressions,clicks,actions,action_values,ctr,cpc}&date_preset=last_7d&limit=10" \
-H "Authorization: Bearer ${META_TOKEN}" | jq '.data | sort_by(.insights.data[0].spend | tonumber) | reverse | .[0:5] | .[] | {name: .name, spend: .insights.data[0].spend, ctr: .insights.data[0].ctr}'
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
META ADS — last 7d
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Spend: $[X]
ROAS: [X]x
Purchases: [N] ($[X] revenue)
Impressions: [N] CTR: [X]%
CPC: $[X]
CAMPAIGNS
[name] [status] $[spend] [roas]x ROAS
...
TOP ADS (by spend)
[name] $[spend] [ctr]% CTR
Full Meta Ads campaign management. Uses same META_TOKEN and META_ACCOUNT credentials as read-only ads section.
Credential check: If META_TOKEN is empty, print Meta Ads not configured. Run /ops:marketing setup. and stop.
Route $ARGUMENTS within meta-manage:
| Input | Action |
|---|---|
| create-campaign | Create a new campaign (always PAUSED) |
| target \<ADSET_ID\> | Configure ad set targeting |
| creative \<CAMPAIGN_ID\> | Upload image + create ad with copy |
| rules | List / create automation rules |
| audiences | Create custom or lookalike audiences |
| advantage | Create Advantage+ AI-optimized campaign |
Collect via AskUserQuestion (max 4 options each call):
[OUTCOME_TRAFFIC, OUTCOME_SALES, OUTCOME_LEADS, OUTCOME_AWARENESS]Then confirm via AskUserQuestion: "Create Meta campaign '<NAME>' with $<BUDGET>/day budget?" options [Create, Cancel]
BUDGET_CENTS=$(awk "BEGIN {printf \"%d\", ${BUDGET_DOLLARS} * 100}")
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/campaigns" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "name=${CAMPAIGN_NAME}" \
-F "objective=${OBJECTIVE}" \
-F "status=PAUSED" \
-F "special_ad_categories=[]" \
-F "daily_budget=${BUDGET_CENTS}" | jq '{id: .id, error: .error.message}'
Print: Campaign "${CAMPAIGN_NAME}" created (ID: <ID>, status: PAUSED, budget: $<BUDGET>/day). Enable via Meta Ads Manager or add ad sets first.
If error, print the error message.
Configure targeting for an existing ad set. Collect via AskUserQuestion:
US,CA,GB) — free text[18-34, 25-54, 35-65, 18-65][All, Men only, Women only, Skip]# Build geo_locations JSON
GEO_JSON=$(echo "$COUNTRIES" | tr ',' '\n' | jq -Rc '.' | jq -sc '{"countries": .}')
# Build targeting spec
TARGETING_JSON=$(jq -n \
--argjson geo "$GEO_JSON" \
--arg age_min "$AGE_MIN" \
--arg age_max "$AGE_MAX" \
'{
geo_locations: $geo,
age_min: ($age_min | tonumber),
age_max: ($age_max | tonumber)
}')
# Add gender filter if requested
if [ "$GENDER" = "Men only" ]; then
TARGETING_JSON=$(echo "$TARGETING_JSON" | jq '. + {"genders": [1]}')
elif [ "$GENDER" = "Women only" ]; then
TARGETING_JSON=$(echo "$TARGETING_JSON" | jq '. + {"genders": [2]}')
fi
curl -s -X POST "https://graph.facebook.com/v20.0/${ADSET_ID}" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "targeting=${TARGETING_JSON}" | jq '{success: .success, error: .error.message}'
Print: Ad set ${ADSET_ID} targeting updated: ${COUNTRIES}, ages ${AGE_MIN}-${AGE_MAX}${GENDER_LABEL}.
Upload an image and create an ad. Collect via AskUserQuestion:
Then collect headline (free text, up to 40 characters) via a second AskUserQuestion.
# Step 1: Upload image
if [[ "$IMAGE_INPUT" == http* ]]; then
# Upload by URL
UPLOAD_RESP=$(curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/adimages" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "url=${IMAGE_INPUT}")
else
# Upload by file (multipart)
UPLOAD_RESP=$(curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/adimages" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "filename=@${IMAGE_INPUT}")
fi
IMAGE_HASH=$(echo "$UPLOAD_RESP" | jq -r '.images | to_entries[0].value.hash // empty')
if [ -z "$IMAGE_HASH" ]; then
echo "Image upload failed: $(echo "$UPLOAD_RESP" | jq -r '.error.message // "unknown error"')"
exit 0
fi
# Resolve the Facebook Page ID. Meta's `object_story_spec.page_id` requires a
# real Page ID — the ad account ID (with `act_` stripped) is NOT a Page ID and
# the API call will fail. Require META_PAGE_ID in env or plugin prefs.
META_PAGE_ID="${META_PAGE_ID:-$(claude plugin config get meta_page_id 2>/dev/null || echo "")}"
if [ -z "$META_PAGE_ID" ]; then
echo "META_PAGE_ID is required to create an ad creative. Set it via:"
echo " claude plugin config set meta_page_id <your_fb_page_id>"
echo "Find your Page ID at https://www.facebook.com/<your-page>/about_profile_transparency"
exit 0
fi
# Step 2: Create ad creative
CREATIVE_RESP=$(curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/adcreatives" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "name=Creative for ${AD_NAME}" \
-F "object_story_spec={\"page_id\": \"${META_PAGE_ID}\", \"link_data\": {\"image_hash\": \"${IMAGE_HASH}\", \"message\": \"${PRIMARY_TEXT}\", \"name\": \"${HEADLINE}\"}}")
CREATIVE_ID=$(echo "$CREATIVE_RESP" | jq -r '.id // empty')
if [ -z "$CREATIVE_ID" ]; then
echo "Creative creation failed: $(echo "$CREATIVE_RESP" | jq -r '.error.message // "unknown error"')"
exit 0
fi
# Step 3: Create ad (status PAUSED — Rule 5)
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/ads" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "name=${AD_NAME}" \
-F "adset_id=${ADSET_ID}" \
-F "creative={\"creative_id\": \"${CREATIVE_ID}\"}" \
-F "status=PAUSED" | jq '{id: .id, error: .error.message}'
Print: Ad created (ID: <ID>, creative: <CREATIVE_ID>, status: PAUSED). Enable via Meta Ads Manager when ready.
List existing rules or create a new automation rule.
List rules:
curl -s "https://graph.facebook.com/v20.0/${META_ACCOUNT}/adrules_library?fields=name,status,evaluation_spec,execution_spec" \
-H "Authorization: Bearer ${META_TOKEN}" | jq '.data[] | {id: .id, name: .name, status: .status}'
Create rule (prompt via AskUserQuestion):
[Pause low performers, Scale winners, Increase budget, Decrease budget]For "Pause low performers":
# Pause ads where CPA > $50 and spend > $20 in last 7 days
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/adrules_library" \
-H "Authorization: Bearer ${META_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"name": "Pause high CPA ads",
"schedule_spec": {"schedule_type": "SEMI_HOURLY"},
"evaluation_spec": {
"evaluation_type": "SCHEDULE",
"filters": [
{"field": "cost_per_result", "value": [50], "operator": "GREATER_THAN"},
{"field": "spent", "value": [20], "operator": "GREATER_THAN"},
{"field": "entity_type", "value": ["AD"], "operator": "EQUAL"},
{"field": "time_preset", "value": ["LAST_7_DAYS"], "operator": "EQUAL"}
]
},
"execution_spec": {
"execution_type": "PAUSE"
},
"status": "ENABLED"
}' | jq '{id: .id, error: .error.message}'
For "Scale winners":
> ⚠️ Scope this to prospecting ad sets. A bare purchase_roas > 3 filter auto-scales *retargeting* ad sets too — whose ROAS is inflated by warm-audience demand capture (conversions that would have happened anyway), not incremental growth. Blanket-scaling them pours budget into demand you already own while starving prospecting, and the funnel contracts a month later. Add an ad-set-name/audience filter that excludes retargeting/remarketing (or restrict the rule to your prospecting ad sets), and confirm a winner's lift with a holdout before scaling on ROAS alone.
# Increase budget 20% for ad sets with ROAS > 3x in last 7 days
# NOTE: restrict to prospecting ad sets — see caveat above
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/adrules_library" \
-H "Authorization: Bearer ${META_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"name": "Scale winning ad sets",
"schedule_spec": {"schedule_type": "DAILY"},
"evaluation_spec": {
"evaluation_type": "SCHEDULE",
"filters": [
{"field": "purchase_roas", "value": [3], "operator": "GREATER_THAN"},
{"field": "entity_type", "value": ["ADSET"], "operator": "EQUAL"},
{"field": "time_preset", "value": ["LAST_7_DAYS"], "operator": "EQUAL"}
]
},
"execution_spec": {
"execution_type": "INCREASE_BUDGET",
"execution_options": [{"field": "budget_value", "value": "20", "operator": "PERCENTAGE"}]
},
"status": "ENABLED"
}' | jq '{id: .id, error: .error.message}'
Print: Rule created (ID: <ID>). Runs semi-hourly and will auto-pause ads with CPA > $50.
Create Custom Audience or Lookalike Audience.
Prompt via AskUserQuestion:
[Custom — website, Custom — customer list, Lookalike, Skip]Custom — website (Pixel-based):
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/customaudiences" \
-H "Authorization: Bearer ${META_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"name": "Website visitors — last 30 days",
"subtype": "WEBSITE",
"retention_days": 30,
"rule": {"inclusions": {"operator": "or", "rules": [{"event_sources": [{"id": "<PIXEL_ID>", "type": "pixel"}], "retention_seconds": 2592000, "filter": {"operator": "and", "filters": [{"field": "event", "operator": "eq", "value": "PageView"}]}}]}}
}' | jq '{id: .id, name: .name, error: .error.message}'
Note: Replace <PIXEL_ID> with actual pixel ID from Meta Events Manager.
Lookalike Audience (requires origin audience with min 100 matched profiles):
# Prompt for origin audience ID via AskUserQuestion (free text)
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/customaudiences" \
-H "Authorization: Bearer ${META_TOKEN}" \
-H "Content-Type: application/json" \
-d "{
\"name\": \"Lookalike — ${ORIGIN_AUDIENCE_NAME} 1%\",
\"subtype\": \"LOOKALIKE\",
\"origin_audience_id\": \"${ORIGIN_AUDIENCE_ID}\",
\"lookalike_spec\": {
\"country\": \"US\",
\"ratio\": 0.01,
\"type\": \"similarity\"
}
}" | jq '{id: .id, name: .name, error: .error.message}'
Print: Lookalike audience created (ID: <ID>). Typically takes 1-6 hours to populate.
Create an Advantage+ Shopping Campaign (AI-optimized).
Collect via AskUserQuestion:
Then confirm: "Create Advantage+ campaign '<NAME>' with $<BUDGET>/day?" options [Create, Cancel]
BUDGET_CENTS=$(awk "BEGIN {printf \"%d\", ${BUDGET_DOLLARS} * 100}")
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/campaigns" \
-H "Authorization: Bearer ${META_TOKEN}" \
-H "Content-Type: application/json" \
-d "{
\"name\": \"${CAMPAIGN_NAME}\",
\"objective\": \"OUTCOME_SALES\",
\"status\": \"PAUSED\",
\"special_ad_categories\": [],
\"daily_budget\": ${BUDGET_CENTS},
\"smart_promotion_type\": \"AUTOMATED_SHOPPING_ADS\"
}" | jq '{id: .id, error: .error.message}'
Print: Advantage+ campaign "${CAMPAIGN_NAME}" created (ID: <ID>, status: PAUSED). Meta AI will optimize targeting and creative delivery once enabled.
Pull GA4 data via the Data API using gcloud ADC.
GA4_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
curl -s -X POST "https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "7daysAgo", "endDate": "today"}],
"metrics": [
{"name": "sessions"},
{"name": "totalUsers"},
{"name": "conversions"},
{"name": "totalRevenue"},
{"name": "bounceRate"},
{"name": "averageSessionDuration"}
]
}' | jq '.rows[0].metricValues | {sessions: .[0].value, users: .[1].value, conversions: .[2].value, revenue: .[3].value, bounce_rate: .[4].value}'
curl -s -X POST "https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "7daysAgo", "endDate": "today"}],
"dimensions": [{"name": "sessionDefaultChannelGrouping"}],
"metrics": [{"name": "sessions"}, {"name": "conversions"}],
"orderBys": [{"metric": {"metricName": "sessions"}, "desc": true}],
"limit": 8
}' | jq '.rows[] | {channel: .dimensionValues[0].value, sessions: .metricValues[0].value, conversions: .metricValues[1].value}'
curl -s -X POST "https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "7daysAgo", "endDate": "today"}],
"dimensions": [{"name": "pagePath"}],
"metrics": [{"name": "screenPageViews"}, {"name": "averageSessionDuration"}],
"orderBys": [{"metric": {"metricName": "screenPageViews"}, "desc": true}],
"limit": 10
}' | jq '.rows[] | {page: .dimensionValues[0].value, views: .metricValues[0].value}'
If GA4_TOKEN is empty or gcloud not available, output: GA4 not configured — run /ops:marketing setup or configure gcloud ADC.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ANALYTICS (GA4) — last 7d
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Sessions: [N] Users: [N]
Conversions: [N] CVR: [X]%
Revenue: $[X]
Bounce Rate: [X]% Avg Session: [Xm Xs]
TRAFFIC SOURCES
[channel] [N sessions] [N conversions]
...
TOP PAGES
[path] [N views]
Advanced GA4 analytics: realtime, funnel, cohort, audience export, and pivot reports.
Credential check: If GA4_TOKEN is empty or GA4_PROPERTY is missing, print GA4 not configured — run /ops:marketing setup or configure gcloud ADC and stop.
Route $ARGUMENTS within ga4-advanced (matches ga4 <sub> pattern):
| Input | Action |
|---|---|
| realtime | Active users right now (last 30 min) |
| funnel | Conversion funnel with step visualization |
| cohort | Cohort retention analysis by device |
| audience | Async audience segment export |
| pivot | Multi-dimensional pivot report |
GA4_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
RESULT=$(curl -s -X POST "https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runRealtimeReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"minuteRanges": [{"startMinutesAgo": 29, "endMinutesAgo": 0}],
"dimensions": [
{"name": "unifiedScreenName"},
{"name": "deviceCategory"}
],
"metrics": [{"name": "activeUsers"}],
"orderBys": [{"metric": {"metricName": "activeUsers"}, "desc": true}],
"limit": 10
}')
TOTAL=$(echo "$RESULT" | jq '[.rows[]?.metricValues[0].value | tonumber] | add // 0')
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " GA4 REALTIME — Last 30 Minutes"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
echo "Active Users Right Now: ${TOTAL}"
echo ""
echo "Top Pages:"
printf "| %-40s | %-8s | %-7s |\n" "Page" "Device" "Users"
printf "|%s|%s|%s|\n" "------------------------------------------" "----------" "---------"
echo "$RESULT" | jq -r '.rows[]? | [.dimensionValues[0].value, .dimensionValues[1].value, .metricValues[0].value] | @tsv' 2>/dev/null | \
while IFS=$'\t' read -r page device users; do
printf "| %-40s | %-8s | %-7s |\n" "${page:0:40}" "$device" "$users"
done
Ask user for funnel steps via AskUserQuestion (free text). Default template uses session_start → page_view → purchase.
# NOTE: Uses v1alpha — breaking changes possible per Google's versioning policy
GA4_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
# Prompt for funnel type first
# AskUserQuestion: "Funnel mode?" options [Closed funnel, Open funnel]
IS_OPEN=$([ "$FUNNEL_MODE" = "Open funnel" ] && echo "true" || echo "false")
RESULT=$(curl -s -X POST "https://analyticsdata.googleapis.com/v1alpha/properties/${GA4_PROPERTY}:runFunnelReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d "{
\"dateRanges\": [{\"startDate\": \"30daysAgo\", \"endDate\": \"today\"}],
\"funnel\": {
\"isOpenFunnel\": ${IS_OPEN},
\"steps\": [
{
\"name\": \"Session Start\",
\"filterExpression\": {\"funnelEventFilter\": {\"eventName\": \"session_start\"}}
},
{
\"name\": \"Page View\",
\"filterExpression\": {\"funnelEventFilter\": {\"eventName\": \"page_view\"}}
},
{
\"name\": \"Purchase\",
\"filterExpression\": {\"funnelEventFilter\": {\"eventName\": \"purchase\"}}
}
]
},
\"funnelBreakdown\": {
\"breakdownDimension\": {\"name\": \"deviceCategory\"},
\"limit\": 4
}
}")
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " GA4 FUNNEL — Last 30 Days (${FUNNEL_MODE})"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
echo "$RESULT" | jq -r '
.funnelTable.rows[]? |
"Step: \(.dimensionValues[0].value) Users: \(.metricValues[0].value) Completion: \(.metricValues[1].value)% Abandoned: \(.metricValues[2].value)"
' 2>/dev/null || echo "No funnel data — ensure purchase events are firing in GA4."
Weekly cohort retention for users acquired in the past month, broken down by device.
GA4_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
START_DATE=$(date -v-30d +%Y-%m-%d 2>/dev/null || date -d '30 days ago' +%Y-%m-%d)
END_DATE=$(date +%Y-%m-%d)
RESULT=$(curl -s -X POST "https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d "{
\"dimensions\": [
{\"name\": \"cohort\"},
{\"name\": \"cohortNthWeek\"},
{\"name\": \"deviceCategory\"}
],
\"metrics\": [
{\"name\": \"cohortActiveUsers\"},
{\"name\": \"cohortRetentionFraction\"}
],
\"cohortSpec\": {
\"cohorts\": [{
\"dimension\": \"firstSessionDate\",
\"dateRange\": {\"startDate\": \"${START_DATE}\", \"endDate\": \"${END_DATE}\"}
}],
\"cohortsRange\": {
\"granularity\": \"WEEKLY\",
\"startOffset\": 0,
\"endOffset\": 5
}
}
}")
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " GA4 COHORT RETENTION — Last 30 Days"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
printf "| %-12s | %-6s | %-8s | %-10s | %-10s |\n" "Cohort" "Week" "Device" "Users" "Retention%"
printf "|%s|%s|%s|%s|%s|\n" "--------------" "--------" "----------" "------------" "------------"
echo "$RESULT" | jq -r '.rows[]? | [
.dimensionValues[0].value,
.dimensionValues[1].value,
.dimensionValues[2].value,
.metricValues[0].value,
(.metricValues[1].value | tonumber * 100 | tostring | split(".")[0])
] | @tsv' 2>/dev/null | \
while IFS=$'\t' read -r cohort week device users retention; do
printf "| %-12s | %-6s | %-8s | %-10s | %-10s |\n" "$cohort" "$week" "$device" "$users" "${retention}%"
done
Async audience export: create → poll until ACTIVE → show user count.
GA4_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
# Step 1: List available audiences so user can pick one
AUDIENCES=$(curl -s "https://analyticsadmin.googleapis.com/v1alpha/properties/${GA4_PROPERTY}/audiences" \
-H "Authorization: Bearer ${GA4_TOKEN}")
echo "Available audiences:"
echo "$AUDIENCES" | jq -r '.audiences[]? | "\(.name | split("/") | last): \(.displayName)"' 2>/dev/null
# AskUserQuestion: "Enter audience ID from list above:" (free text)
# Step 2: Create export
EXPORT_RESP=$(curl -s -X POST \
"https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}/audienceExports" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d "{
\"audience\": \"properties/${GA4_PROPERTY}/audiences/${AUDIENCE_ID}\",
\"dimensions\": [
{\"dimensionName\": \"deviceId\"},
{\"dimensionName\": \"isAdsPersonalizationAllowed\"}
]
}")
EXPORT_NAME=$(echo "$EXPORT_RESP" | jq -r '.name // empty')
if [ -z "$EXPORT_NAME" ]; then
echo "Failed to create export: $(echo "$EXPORT_RESP" | jq -r '.error.message // "unknown error"')"
exit 0
fi
echo "Export created: ${EXPORT_NAME}"
echo "Polling for completion (small audiences: ~30s, large: up to 15 min)..."
# Step 3: Poll until ACTIVE or FAILED
ATTEMPTS=0
while [ $ATTEMPTS -lt 60 ]; do
STATUS_RESP=$(curl -s "https://analyticsdata.googleapis.com/v1beta/${EXPORT_NAME}" \
-H "Authorization: Bearer ${GA4_TOKEN}")
STATE=$(echo "$STATUS_RESP" | jq -r '.state // "UNKNOWN"')
PCT=$(echo "$STATUS_RESP" | jq -r '.percentageCompleted // 0')
if [ "$STATE" = "ACTIVE" ]; then break; fi
if [ "$STATE" = "FAILED" ]; then
echo "Export failed. Try again or check GA4 audience configuration."
exit 0
fi
echo " State: ${STATE} (${PCT}% complete)..."
sleep 10
ATTEMPTS=$((ATTEMPTS + 1))
done
# Step 4: Query results
QUERY_RESP=$(curl -s -X POST \
"https://analyticsdata.googleapis.com/v1beta/${EXPORT_NAME}:query" \
-H "Authorization: Bearer ${GA4_TOKEN}")
ROW_COUNT=$(echo "$QUERY_RESP" | jq '.rowCount // 0')
echo ""
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " GA4 AUDIENCE EXPORT"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " Audience ID: ${AUDIENCE_ID}"
echo " Users exported: ${ROW_COUNT}"
echo " Ads-eligible: $(echo "$QUERY_RESP" | jq '[.audienceRows[]? | select(.dimensionValues[1].value == "true")] | length') users"
echo ""
echo "Export ready. Use this audience for retargeting in Meta or Google Ads."
Multi-dimensional pivot: channel group × device category × conversions.
GA4_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
RESULT=$(curl -s -X POST "https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runPivotReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "30daysAgo", "endDate": "today"}],
"dimensions": [
{"name": "sessionDefaultChannelGrouping"},
{"name": "deviceCategory"}
],
"metrics": [
{"name": "sessions"},
{"name": "conversions"},
{"name": "totalRevenue"}
],
"pivots": [
{
"fieldNames": ["sessionDefaultChannelGrouping"],
"limit": 6
},
{
"fieldNames": ["deviceCategory"],
"limit": 3
}
]
}')
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " GA4 PIVOT — Channel × Device (Last 30 Days)"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
printf "| %-20s | %-8s | %-10s | %-11s | %-10s |\n" "Channel" "Device" "Sessions" "Conversions" "Revenue"
printf "|%s|%s|%s|%s|%s|\n" "----------------------" "----------" "------------" "-------------" "------------"
echo "$RESULT" | jq -r '.rows[]? | [
.dimensionValues[0].value,
.dimensionValues[1].value,
.metricValues[0].value,
.metricValues[1].value,
(.metricValues[2].value | tonumber | . * 100 | round / 100 | tostring)
] | @tsv' 2>/dev/null | \
while IFS=$'\t' read -r channel device sessions convs revenue; do
printf "| %-20s | %-8s | %-10s | %-11s | \$%-9s |\n" "${channel:0:20}" "$device" "$sessions" "$convs" "$revenue"
done
Pull Google Search Console data.
GSC_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
GSC_SITE_ENCODED=$(python3 -c "import urllib.parse; print(urllib.parse.quote('${GSC_SITE}', safe=''))" 2>/dev/null || echo "${GSC_SITE}" | sed 's|:|%3A|g; s|/|%2F|g')
curl -s -X POST "https://searchconsole.googleapis.com/webmasters/v3/sites/${GSC_SITE_ENCODED}/searchAnalytics/query" \
-H "Authorization: Bearer ${GSC_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"startDate": "'$(date -v-28d +%Y-%m-%d 2>/dev/null || date -d '28 days ago' +%Y-%m-%d)'",
"endDate": "'$(date +%Y-%m-%d)'",
"dimensions": [],
"rowLimit": 1
}' | jq '{clicks: .rows[0].clicks, impressions: .rows[0].impressions, ctr: .rows[0].ctr, position: .rows[0].position}'
curl -s -X POST "https://searchconsole.googleapis.com/webmasters/v3/sites/${GSC_SITE_ENCODED}/searchAnalytics/query" \
-H "Authorization: Bearer ${GSC_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"startDate": "'$(date -v-28d +%Y-%m-%d 2>/dev/null || date -d '28 days ago' +%Y-%m-%d)'",
"endDate": "'$(date +%Y-%m-%d)'",
"dimensions": ["query"],
"rowLimit": 20,
"dimensionFilterGroups": []
}' | jq '.rows[] | {query: .keys[0], clicks: .clicks, impressions: .impressions, position: (.position | floor)}'
curl -s -X POST "https://searchconsole.googleapis.com/webmasters/v3/sites/${GSC_SITE_ENCODED}/searchAnalytics/query" \
-H "Authorization: Bearer ${GSC_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"startDate": "'$(date -v-28d +%Y-%m-%d 2>/dev/null || date -d '28 days ago' +%Y-%m-%d)'",
"endDate": "'$(date +%Y-%m-%d)'",
"dimensions": ["page"],
"rowLimit": 10
}' | jq '.rows[] | {page: .keys[0], clicks: .clicks, impressions: .impressions, position: (.position | floor)}'
If GSC not configured, output: Search Console not configured — run /ops:marketing setup.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SEO (SEARCH CONSOLE) — last 28d
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Clicks: [N]
Impressions: [N]
CTR: [X]%
Avg Position: [X]
TOP QUERIES
[query] [clicks] clicks pos [N]
...
TOP PAGES
[url] [clicks] clicks [impressions] impr
Aggregate available social media metrics. Check which are configured.
# Get Instagram Business Account ID linked to the ad account
curl -s "https://graph.facebook.com/v18.0/me/accounts?fields=instagram_business_account" \
-H "Authorization: Bearer ${META_TOKEN}" | jq '.data[].instagram_business_account.id' 2>/dev/null
# Then pull media insights
curl -s "https://graph.facebook.com/v18.0/${IG_ACCOUNT_ID}?fields=followers_count,media_count,profile_views" \
-H "Authorization: Bearer ${META_TOKEN}" | jq '{followers: .followers_count, posts: .media_count, profile_views: .profile_views}'
YT_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
curl -s "https://www.googleapis.com/youtube/v3/channels?part=statistics&mine=true" \
-H "Authorization: Bearer ${YT_TOKEN}" | jq '.items[0].statistics | {subscribers: .subscriberCount, views: .viewCount, videos: .videoCount}'
Show [not configured] for any unconfigured channels rather than failing.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SOCIAL MEDIA
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Instagram: [N followers] [N posts] [N profile views]
YouTube: [N subscribers] [N total views]
TikTok: [not configured] — set TIKTOK_ACCESS_TOKEN
Instagram publishing and insights via Instagram Graph API (same META_TOKEN as Meta Ads).
Prerequisites:
META_TOKEN configured (same as Meta Ads)IG_ACCOUNT_ID resolved via: curl "https://graph.facebook.com/v21.0/me/accounts?fields=instagram_business_account" -H "Authorization: Bearer ${META_TOKEN}" → data[0].instagram_business_account.idRate limit: 200 API calls/hour per app. Demographics require 48h reporting delay. Media insights require account with >1,000 followers.
Resolve IG account ID at the start of every instagram invocation:
IG_ACCOUNT_ID=$(claude plugin config get instagram_account_id 2>/dev/null)
if [ -z "$IG_ACCOUNT_ID" ]; then
IG_ACCOUNT_ID=$(curl -s "https://graph.facebook.com/v21.0/me/accounts?fields=instagram_business_account" \
-H "Authorization: Bearer ${META_TOKEN}" | jq -r '.data[0].instagram_business_account.id // empty')
# Cache it
[ -n "$IG_ACCOUNT_ID" ] && claude plugin config set instagram_account_id "$IG_ACCOUNT_ID" 2>/dev/null
fi
if [ -z "$IG_ACCOUNT_ID" ]; then
echo "Instagram Business account not linked to your Meta token. Ensure your Facebook Page has an Instagram Business account connected."
exit 0
fi
Route $ARGUMENTS within instagram:
| Input | Action |
|---|---|
| post \<IMAGE_URL\> | Publish image post to feed |
| reel \<VIDEO_URL\> | Publish a Reel |
| story \<IMAGE_URL\|VIDEO_URL\> | Publish a Story |
| insights \<MEDIA_ID\> | Per-post metrics |
| account-insights [days] | Account-level reach + impressions |
| demographics | Audience age/gender/location |
Publish an image post (two-step: create container → publish).
Collect via AskUserQuestion:
# Step 1: Create media container
CONTAINER=$(curl -s -X POST "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/media" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "image_url=${IMAGE_URL}" \
-F "caption=${CAPTION}" \
-F "media_type=IMAGE")
CONTAINER_ID=$(echo "$CONTAINER" | jq -r '.id // empty')
if [ -z "$CONTAINER_ID" ]; then
echo "Failed to create media container: $(echo "$CONTAINER" | jq -r '.error.message // "unknown error"')"
exit 0
fi
# Step 2: Publish
PUBLISH=$(curl -s -X POST "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/media_publish" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "creation_id=${CONTAINER_ID}")
MEDIA_ID=$(echo "$PUBLISH" | jq -r '.id // empty')
if [ -n "$MEDIA_ID" ]; then
echo "Post published (Media ID: ${MEDIA_ID}). View at https://www.instagram.com/ — may take 1-2 min to appear."
else
echo "Publish failed: $(echo "$PUBLISH" | jq -r '.error.message // "unknown error"')"
fi
Publish a Reel. Video must be an HTTPS URL (MP4, H.264, max 15 min, min 500px width).
Collect via AskUserQuestion:
# Step 1: Create video container (async — must poll for status)
CONTAINER=$(curl -s -X POST "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/media" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "media_type=REELS" \
-F "video_url=${VIDEO_URL}" \
-F "caption=${CAPTION}" \
-F "share_to_feed=true")
CONTAINER_ID=$(echo "$CONTAINER" | jq -r '.id // empty')
if [ -z "$CONTAINER_ID" ]; then
echo "Failed to create Reel container: $(echo "$CONTAINER" | jq -r '.error.message // "unknown error"')"
exit 0
fi
echo "Reel uploading... polling for ready status."
# Poll until status is FINISHED
ATTEMPTS=0
while [ $ATTEMPTS -lt 30 ]; do
STATUS=$(curl -s "https://graph.facebook.com/v21.0/${CONTAINER_ID}?fields=status_code" \
-H "Authorization: Bearer ${META_TOKEN}" | jq -r '.status_code // "UNKNOWN"')
[ "$STATUS" = "FINISHED" ] && break
[ "$STATUS" = "ERROR" ] && echo "Reel processing failed." && exit 0
sleep 10
ATTEMPTS=$((ATTEMPTS + 1))
done
# Step 2: Publish
PUBLISH=$(curl -s -X POST "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/media_publish" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "creation_id=${CONTAINER_ID}")
MEDIA_ID=$(echo "$PUBLISH" | jq -r '.id // empty')
if [ -n "$MEDIA_ID" ]; then
echo "Reel published (Media ID: ${MEDIA_ID}). Reach and plays metrics available after 24-48h."
else
echo "Reel publish failed: $(echo "$PUBLISH" | jq -r '.error.message // "unknown error"')"
fi
Publish a Story (image or video, 24h expiry).
Collect via AskUserQuestion:
[Image story, Video story]if [ "$CONTENT_TYPE" = "Video story" ]; then
MEDIA_TYPE="VIDEO"
URL_FIELD="video_url"
else
MEDIA_TYPE="IMAGE"
URL_FIELD="image_url"
fi
CONTAINER=$(curl -s -X POST "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/media" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "media_type=STORIES" \
-F "${URL_FIELD}=${CONTENT_URL}")
CONTAINER_ID=$(echo "$CONTAINER" | jq -r '.id // empty')
if [ -z "$CONTAINER_ID" ]; then
echo "Failed to create Story container: $(echo "$CONTAINER" | jq -r '.error.message // "unknown error"')"
exit 0
fi
PUBLISH=$(curl -s -X POST "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/media_publish" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "creation_id=${CONTAINER_ID}")
MEDIA_ID=$(echo "$PUBLISH" | jq -r '.id // empty')
if [ -n "$MEDIA_ID" ]; then
echo "Story published (Media ID: ${MEDIA_ID}). Expires after 24 hours."
else
echo "Story publish failed: $(echo "$PUBLISH" | jq -r '.error.message // "unknown error"')"
fi
Per-post metrics. Note: reach, saves, shares deprecated for non-Reels video; plays only for Reels/video.
METRICS="reach,saved,shares,comments_count,like_count,impressions"
# For Reels, add plays: detect via media_type field
MEDIA_TYPE=$(curl -s "https://graph.facebook.com/v21.0/${MEDIA_ID}?fields=media_type" \
-H "Authorization: Bearer ${META_TOKEN}" | jq -r '.media_type // "IMAGE"')
[ "$MEDIA_TYPE" = "VIDEO" ] || [ "$MEDIA_TYPE" = "REEL" ] && METRICS="${METRICS},plays"
RESULT=$(curl -s "https://graph.facebook.com/v21.0/${MEDIA_ID}/insights?metric=${METRICS}&period=lifetime" \
-H "Authorization: Bearer ${META_TOKEN}")
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " INSTAGRAM POST INSIGHTS — ${MEDIA_ID}"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
echo "$RESULT" | jq -r '.data[]? | " \(.name): \(.values[0].value)"' 2>/dev/null || \
echo "No insights data — account must have >1,000 followers for insights access."
Account-level reach and impressions. Default: last 7 days.
DAYS="${DAYS:-7}"
END_DATE=$(date +%Y-%m-%d)
START_DATE=$(date -v-${DAYS}d +%Y-%m-%d 2>/dev/null || date -d "${DAYS} days ago" +%Y-%m-%d)
RESULT=$(curl -s "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/insights?metric=reach,impressions,profile_views&period=day&since=${START_DATE}&until=${END_DATE}" \
-H "Authorization: Bearer ${META_TOKEN}")
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " INSTAGRAM ACCOUNT INSIGHTS — Last ${DAYS} Days"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " Note: Data reflects 24-48h reporting delay"
echo ""
REACH=$(echo "$RESULT" | jq '[.data[]? | select(.name == "reach") | .values[]?.value | tonumber] | add // 0')
IMPRESSIONS=$(echo "$RESULT" | jq '[.data[]? | select(.name == "impressions") | .values[]?.value | tonumber] | add // 0')
PROFILE_VIEWS=$(echo "$RESULT" | jq '[.data[]? | select(.name == "profile_views") | .values[]?.value | tonumber] | add // 0')
echo " Reach: ${REACH}"
echo " Impressions: ${IMPRESSIONS}"
echo " Profile Views: ${PROFILE_VIEWS}"
Audience breakdown by age/gender and top locations. Requires lifetime period (48h delay).
RESULT=$(curl -s "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/insights?metric=audience_gender_age,audience_city,audience_country&period=lifetime" \
-H "Authorization: Bearer ${META_TOKEN}")
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " INSTAGRAM DEMOGRAPHICS"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " Note: Top 45 segments shown. Data has 48h delay."
echo ""
echo "AGE / GENDER BREAKDOWN:"
echo "$RESULT" | jq -r '.data[]? | select(.name == "audience_gender_age") | .values[0].value | to_entries[] | " \(.key): \(.value)%"' 2>/dev/null | head -20
echo ""
echo "TOP CITIES:"
echo "$RESULT" | jq -r '.data[]? | select(.name == "audience_city") | .values[0].value | to_entries | sort_by(-.value) | .[0:10][] | " \(.key): \(.value)%"' 2>/dev/null
echo ""
echo "TOP COUNTRIES:"
echo "$RESULT" | jq -r '.data[]? | select(.name == "audience_country") | .values[0].value | to_entries | sort_by(-.value) | .[0:10][] | " \(.key): \(.value)%"' 2>/dev/null
Credential check: If GADS_DEV_TOKEN or GADS_REFRESH_TOKEN is empty after resolution, print:
Warning: Google Ads not configured. Run /ops:setup marketing to set up credentials.
and stop.
Token refresh: Run the access token refresh curl (from Credential Resolution above) at the start of every google-ads invocation. If GADS_ACCESS_TOKEN is null or "null", print:
Warning: Google Ads token refresh failed. Check client_id/client_secret/refresh_token in /ops:setup.
and stop.
Route $ARGUMENTS within the google-ads section:
| Input | Action |
|---|---|
| (empty), dashboard, overview | Campaign performance dashboard (last 7 days) |
| search-terms, terms | Search Terms Report with negative keyword candidates (last 30 days) |
| budget-recs, recommendations, recs | Budget optimization recommendations from Google |
| campaigns, manage | Campaign management — list, create, pause, enable, adjust budget |
| keywords, kw, keyword-planner | Keyword Planner — discover keywords with volume and bid data |
| ad-groups, ag | Ad group management — list, create, add/remove keywords, adjust bids |
dashboard, overview)# Campaign performance — last 7 days
CAMPAIGNS=$(curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary '{
"query": "SELECT campaign.id, campaign.name, campaign.status, campaign_budget.amount_micros, metrics.cost_micros, metrics.impressions, metrics.clicks, metrics.conversions, metrics.conversions_value FROM campaign WHERE segments.date DURING LAST_7_DAYS AND campaign.status != REMOVED ORDER BY metrics.cost_micros DESC LIMIT 20"
}')
# Check for API error
GADS_ERROR=$(echo "$CAMPAIGNS" | jq -r '.[0].error.message // empty' 2>/dev/null)
if [ -n "$GADS_ERROR" ]; then
echo "Google Ads API error: ${GADS_ERROR}"
echo "Check credentials with /ops:marketing setup."
exit 0
fi
# Check for empty results
CAMPAIGN_COUNT=$(echo "$CAMPAIGNS" | jq '[.[].results[]?] | length' 2>/dev/null || echo "0")
if [ "$CAMPAIGN_COUNT" -eq 0 ]; then
echo "No active campaigns found in the last 7 days."
exit 0
fi
# Compute totals
TOTAL_SPEND=$(echo "$CAMPAIGNS" | jq '[.[].results[]?.metrics.costMicros // "0" | tonumber] | add / 1000000' 2>/dev/null)
TOTAL_CONVERSIONS=$(echo "$CAMPAIGNS" | jq '[.[].results[]?.metrics.conversions // "0" | tonumber] | add' 2>/dev/null)
TOTAL_VALUE=$(echo "$CAMPAIGNS" | jq '[.[].results[]?.metrics.conversionsValue // "0" | tonumber] | add' 2>/dev/null)
OVERALL_ROAS=$(awk "BEGIN { if (${TOTAL_SPEND:-0} > 0) printf \"%.2f\", ${TOTAL_VALUE:-0} / ${TOTAL_SPEND:-1}; else print \"—\" }")
TOTAL_SPEND_FMT=$(awk "BEGIN { printf \"%.2f\", ${TOTAL_SPEND:-0} }")
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " GOOGLE ADS — Last 7 Days"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
echo "Total Spend: \$${TOTAL_SPEND_FMT}"
echo "Total Conversions: ${TOTAL_CONVERSIONS}"
echo "Overall ROAS: ${OVERALL_ROAS}"
echo ""
# Print table header
printf "| %-30s | %-8s | %-10s | %-10s | %-8s | %-8s | %-6s | %-6s | %-6s |\n" \
"Campaign" "Status" "Budget/day" "Spend" "Impr" "Clicks" "CTR" "Conv" "ROAS"
printf "|%s|%s|%s|%s|%s|%s|%s|%s|%s|\n" \
"--------------------------------" "----------" "------------" "------------" "----------" "----------" "--------" "--------" "--------"
# Print each campaign row
echo "$CAMPAIGNS" | jq -r '.[].results[]? | [
.campaign.name,
.campaign.status,
(.campaignBudget.amountMicros // "0" | tonumber / 1000000),
(.metrics.costMicros // "0" | tonumber / 1000000),
(.metrics.impressions // "0" | tonumber),
(.metrics.clicks // "0" | tonumber),
(.metrics.conversions // "0" | tonumber),
(.metrics.conversionsValue // "0" | tonumber),
(.metrics.costMicros // "0" | tonumber)
] | @tsv' 2>/dev/null | while IFS=$'\t' read -r name status budget_raw spend_raw impr_raw clicks_raw conv_raw value_raw cost_raw; do
BUDGET=$(awk "BEGIN { printf \"%.2f\", ${budget_raw:-0} }")
SPEND=$(awk "BEGIN { printf \"%.2f\", ${spend_raw:-0} }")
CTR=$(awk "BEGIN { if (${impr_raw:-0} > 0) printf \"%.2f\", ${clicks_raw:-0} / ${impr_raw:-0} * 100; else print \"0.00\" }")
ROAS=$(awk "BEGIN { if (${spend_raw:-0} > 0) printf \"%.2f\", ${value_raw:-0} / ${spend_raw:-1}; else print \"—\" }")
printf "| %-30s | %-8s | \$%-9s | \$%-9s | %-8s | %-8s | %-5s%% | %-6s | %-6s |\n" \
"${name:0:30}" "$status" "$BUDGET" "$SPEND" "$impr_raw" "$clicks_raw" "$CTR" "$conv_raw" "$ROAS"
done
search-terms, terms)SEARCH_TERMS=$(curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary '{
"query": "SELECT search_term_view.search_term, search_term_view.status, campaign.name, ad_group.name, metrics.impressions, metrics.clicks, metrics.cost_micros, metrics.conversions FROM search_term_view WHERE segments.date DURING LAST_30_DAYS AND metrics.impressions > 0 ORDER BY metrics.impressions DESC LIMIT 100"
}')
# Check for API error
GADS_ST_ERROR=$(echo "$SEARCH_TERMS" | jq -r '.[0].error.message // empty' 2>/dev/null)
if [ -n "$GADS_ST_ERROR" ]; then
echo "Google Ads API error: ${GADS_ST_ERROR}"
echo "Check credentials with /ops:marketing setup."
exit 0
fi
TERM_COUNT=$(echo "$SEARCH_TERMS" | jq '[.[].results[]?] | length' 2>/dev/null || echo "0")
if [ "$TERM_COUNT" -eq 0 ]; then
echo "No search term data found for the last 30 days."
exit 0
fi
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " SEARCH TERMS REPORT — Last 30 Days"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
printf "| %-30s | %-10s | %-20s | %-15s | %-6s | %-6s | %-7s | %-6s |\n" \
"Search Term" "Status" "Campaign" "Ad Group" "Impr" "Clicks" "Cost" "Conv"
printf "|%s|%s|%s|%s|%s|%s|%s|%s|\n" \
"--------------------------------" "------------" "----------------------" "-----------------" "--------" "--------" "---------" "--------"
# Status mapping and table rows
echo "$SEARCH_TERMS" | jq -r '.[].results[]? | [
.searchTermView.searchTerm,
.searchTermView.status,
.campaign.name,
.adGroup.name,
(.metrics.impressions // "0" | tostring),
(.metrics.clicks // "0" | tostring),
(.metrics.costMicros // "0" | tonumber / 1000000 | tostring),
(.metrics.conversions // "0" | tostring)
] | @tsv' 2>/dev/null | while IFS=$'\t' read -r term status campaign adgroup impr clicks cost_raw conv; do
case "$status" in
ADDED) STATUS_LABEL="✓ Added" ;;
EXCLUDED) STATUS_LABEL="✗ Excluded" ;;
*) STATUS_LABEL="○ New" ;;
esac
COST=$(awk "BEGIN { printf \"%.2f\", ${cost_raw:-0} }")
printf "| %-30s | %-10s | %-20s | %-15s | %-6s | %-6s | \$%-6s | %-6s |\n" \
"${term:0:30}" "$STATUS_LABEL" "${campaign:0:20}" "${adgroup:0:15}" "$impr" "$clicks" "$COST" "$conv"
done
echo ""
echo "Negative keyword candidates (high spend, zero conversions):"
echo "$SEARCH_TERMS" | jq -r '.[].results[]? | select(
(.metrics.conversions // "0" | tonumber) == 0 and
(.metrics.costMicros // "0" | tonumber) > 1000000
) | " • \(.searchTermView.searchTerm) — $\(.metrics.costMicros | tonumber / 1000000 | tostring | split(".") | .[0] + "." + (.[1] // "00")[0:2])"' 2>/dev/null || echo " (none found)"
budget-recs, recommendations, recs)RECS=$(curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary '{
"query": "SELECT recommendation.resource_name, recommendation.type, recommendation.campaign, recommendation.impact, recommendation.campaign_budget_recommendation FROM recommendation WHERE recommendation.type IN (CAMPAIGN_BUDGET, MOVE_UNUSED_BUDGET, MARGINAL_ROI_CAMPAIGN_BUDGET, FORECASTING_CAMPAIGN_BUDGET)"
}')
# Check for API error
GADS_REC_ERROR=$(echo "$RECS" | jq -r '.[0].error.message // empty' 2>/dev/null)
if [ -n "$GADS_REC_ERROR" ]; then
echo "Google Ads API error: ${GADS_REC_ERROR}"
echo "Check credentials with /ops:marketing setup."
exit 0
fi
REC_COUNT=$(echo "$RECS" | jq '[.[].results[]?] | length' 2>/dev/null || echo "0")
if [ "$REC_COUNT" -eq 0 ]; then
echo "No budget recommendations available. Google needs campaign data to generate recommendations."
exit 0
fi
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " BUDGET RECOMMENDATIONS"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
printf "| %-22s | %-25s | %-15s | %-13s | %-20s |\n" \
"Type" "Campaign" "Current Budget" "Recommended" "Impact"
printf "|%s|%s|%s|%s|%s|\n" \
"------------------------" "---------------------------" "-----------------" "---------------" "----------------------"
echo "$RECS" | jq -r '.[].results[]? | [
.recommendation.type,
.recommendation.campaign,
(.recommendation.campaignBudgetRecommendation.currentBudgetAmountMicros // "0" | tonumber / 1000000 | tostring),
(.recommendation.campaignBudgetRecommendation.recommendedBudgetAmountMicros // "0" | tonumber / 1000000 | tostring),
(.recommendation.impact.baseMetrics.impressions // "0" | tonumber | tostring),
(.recommendation.impact.potentialMetrics.impressions // "0" | tonumber | tostring)
] | @tsv' 2>/dev/null | while IFS=$'\t' read -r rec_type campaign current_raw recommended_raw base_impr_raw pot_impr_raw; do
case "$rec_type" in
CAMPAIGN_BUDGET) TYPE_LABEL="Increase Budget" ;;
MOVE_UNUSED_BUDGET) TYPE_LABEL="Move Unused Budget" ;;
MARGINAL_ROI_CAMPAIGN_BUDGET) TYPE_LABEL="Marginal ROI" ;;
FORECASTING_CAMPAIGN_BUDGET) TYPE_LABEL="Forecasting" ;;
*) TYPE_LABEL="$rec_type" ;;
esac
CURRENT=$(awk "BEGIN { printf \"%.2f\", ${current_raw:-0} }")
RECOMMENDED=$(awk "BEGIN { printf \"%.2f\", ${recommended_raw:-0} }")
IMPACT=$(awk "BEGIN {
base = ${base_impr_raw:-0}; pot = ${pot_impr_raw:-0}
if (base > 0) printf \"+%.0f%% impressions\", (pot - base) / base * 100
else print \"—\"
}")
printf "| %-22s | %-25s | \$%-14s | \$%-12s | %-20s |\n" \
"$TYPE_LABEL" "${campaign:0:25}" "$CURRENT" "$RECOMMENDED" "$IMPACT"
done
campaigns, manage)List campaigns:
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary '{
"query": "SELECT campaign.id, campaign.name, campaign.status, campaign.advertising_channel_type, campaign_budget.amount_micros FROM campaign WHERE campaign.status != REMOVED ORDER BY campaign.name LIMIT 50"
}'
Output as table:
| # | Campaign ID | Name | Status | Channel | Budget/day |
Create campaign (campaigns create):
Collect from user via AskUserQuestion (free text, one at a time):
BUDGET_MICROS=$(awk "BEGIN {printf \"%d\", $DOLLARS * 1000000}"))[Search, Display, Shopping, Video]Map to API values: SEARCH, DISPLAY, SHOPPING, VIDEO
Two-step mutate:
Step 1 — Create budget:
BUDGET_RESP=$(curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/campaignBudgets:mutate" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"operations\": [{
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.
Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
Materials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials science.
Transforms vague UI ideas into polished, Stitch-optimized prompts. Enhances specificity, adds UI/UX keywords, injects design system context, and structures output for better generation results.
Take davepoon/ops-marketing from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.