- Skill ID
- openclaudia/openclaudia-skills/google-ads-report
- Publisher
- openclaudia
- Repository
- openclaudia-skills
- Installs
- 0
- Files
- 1
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
openclaudia/openclaudia-skills/google-ads-reportInstalls these files- SKILL.md
What this skill tells the agent
Google Ads Report
Pull campaign, keyword, and conversion data from the Google Ads API.
Prerequisites
Requires:
GOOGLE_CLIENT_IDandGOOGLE_CLIENT_SECRET(OAuth)GOOGLE_ADS_DEVELOPER_TOKEN(apply at https://ads.google.com/home/tools/manager-accounts/)GOOGLE_ADS_CUSTOMER_ID(the account ID, format:XXX-XXX-XXXX, passed without dashes)GOOGLE_ADS_LOGIN_CUSTOMER_ID(if using a manager account, the manager account ID)
Set in .env, .env.local, or ~/.claude/.env.global.
Getting an Access Token
# Same OAuth flow as other Google APIs
# Scope needed: https://www.googleapis.com/auth/adwords
echo "https://accounts.google.com/o/oauth2/v2/auth?client_id=${GOOGLE_CLIENT_ID}&redirect_uri=urn:ietf:wg:oauth:2.0:oob&scope=https://www.googleapis.com/auth/adwords&response_type=code&access_type=offline"
# Exchange code for tokens
curl -s -X POST "https://oauth2.googleapis.com/token" \
-d "code={AUTH_CODE}" \
-d "client_id=${GOOGLE_CLIENT_ID}" \
-d "client_secret=${GOOGLE_CLIENT_SECRET}" \
-d "redirect_uri=urn:ietf:wg:oauth:2.0:oob" \
-d "grant_type=authorization_code"API Base
Google Ads API uses GAQL (Google Ads Query Language) via REST.
POST https://googleads.googleapis.com/v17/customers/{CUSTOMER_ID}/googleAds:searchStreamHeaders:
Authorization: Bearer {ACCESS_TOKEN}
developer-token: {DEVELOPER_TOKEN}
login-customer-id: {LOGIN_CUSTOMER_ID} # Only if using manager account
Content-Type: application/json1. Campaign Performance Report
Overview of all campaigns with key metrics.
curl -s -X POST \
"https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
-H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
-H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"query": "SELECT campaign.name, campaign.status, metrics.impressions, metrics.clicks, metrics.ctr, metrics.average_cpc, metrics.cost_micros, metrics.conversions, metrics.cost_per_conversion, metrics.conversions_value FROM campaign WHERE segments.date DURING LAST_30_DAYS AND campaign.status != REMOVED ORDER BY metrics.cost_micros DESC"
}'Parsing Campaign Data
curl -s -X POST "..." | python3 -c "
import json, sys
data = json.load(sys.stdin)
print(f\"{'Campaign':<35} {'Status':<10} {'Impr':>8} {'Clicks':>7} {'CTR':>7} {'Avg CPC':>8} {'Cost':>10} {'Conv':>6} {'CPA':>8}\")
print('-' * 110)
for batch in data:
for row in batch.get('results', []):
c = row.get('campaign', {})
m = row.get('metrics', {})
cost = int(m.get('costMicros', 0)) / 1_000_000
cpc = int(m.get('averageCpc', 0)) / 1_000_000
cpa = float(m.get('costPerConversion', 0)) / 1_000_000 if m.get('costPerConversion') else 0
print(f\"{c.get('name',''):<35} {c.get('status',''):<10} {int(m.get('impressions',0)):>8} {int(m.get('clicks',0)):>7} {float(m.get('ctr',0))*100:>6.2f}% \${cpc:>7.2f} \${cost:>9.2f} {float(m.get('conversions',0)):>6.1f} \${cpa:>7.2f}\")
"Important: Cost Micros
All cost values in Google Ads API are in micros (1/1,000,000 of the currency unit). Divide by 1,000,000 to get the actual amount.
2. Keyword Performance Report
See how individual keywords perform.
curl -s -X POST \
"https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
-H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
-H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"query": "SELECT ad_group_criterion.keyword.text, ad_group_criterion.keyword.match_type, ad_group_criterion.quality_info.quality_score, metrics.impressions, metrics.clicks, metrics.ctr, metrics.average_cpc, metrics.cost_micros, metrics.conversions, metrics.conversions_value FROM keyword_view WHERE segments.date DURING LAST_30_DAYS AND ad_group_criterion.status != REMOVED ORDER BY metrics.cost_micros DESC LIMIT 50"
}'Quality Score Breakdown
curl -s -X POST \
"https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
-H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
-H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"query": "SELECT ad_group_criterion.keyword.text, ad_group_criterion.quality_info.quality_score, ad_group_criterion.quality_info.creative_quality_score, ad_group_criterion.quality_info.post_click_quality_score, ad_group_criterion.quality_info.search_predicted_ctr, metrics.impressions, metrics.average_cpc FROM keyword_view WHERE ad_group_criterion.quality_info.quality_score IS NOT NULL AND segments.date DURING LAST_30_DAYS ORDER BY ad_group_criterion.quality_info.quality_score ASC LIMIT 50"
}'Quality Score Components:
- quality_score: Overall score (1-10)
- creative_quality_score: Ad relevance (BELOW_AVERAGE, AVERAGE, ABOVE_AVERAGE)
- post_click_quality_score: Landing page experience
- search_predicted_ctr: Expected click-through rate
3. Ad Group Performance
curl -s -X POST \
"https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
-H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
-H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"query": "SELECT campaign.name, ad_group.name, ad_group.status, metrics.impressions, metrics.clicks, metrics.ctr, metrics.average_cpc, metrics.cost_micros, metrics.conversions FROM ad_group WHERE segments.date DURING LAST_30_DAYS AND ad_group.status != REMOVED ORDER BY metrics.cost_micros DESC LIMIT 50"
}'4. Search Terms Report
See what users actually searched for (vs. your keywords).
curl -s -X POST \
"https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
-H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
-H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"query": "SELECT search_term_view.search_term, segments.keyword.info.text, segments.keyword.info.match_type, metrics.impressions, metrics.clicks, metrics.ctr, metrics.cost_micros, metrics.conversions FROM search_term_view WHERE segments.date DURING LAST_30_DAYS ORDER BY metrics.impressions DESC LIMIT 100"
}'Use this to:
- Find new keyword opportunities (high-converting search terms)
- Identify negative keyword candidates (irrelevant terms with spend)
- Discover match type issues (broad match pulling in junk traffic)
5. Conversion Tracking
curl -s -X POST \
"https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
-H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
-H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"query": "SELECT campaign.name, metrics.conversions, metrics.conversions_value, metrics.cost_micros, metrics.conversions_from_interactions_rate, metrics.value_per_conversion FROM campaign WHERE segments.date DURING LAST_30_DAYS AND campaign.status = ENABLED ORDER BY metrics.conversions DESC"
}'ROAS Calculation
# ROAS = conversions_value / (cost_micros / 1_000_000)
curl -s -X POST "..." | python3 -c "
import json, sys
data = json.load(sys.stdin)
print(f\"{'Campaign':<35} {'Cost':>10} {'Conv Value':>12} {'ROAS':>8}\")
for batch in data:
for row in batch.get('results', []):
c = row['campaign']['name']
m = row['metrics']
cost = int(m.get('costMicros', 0)) / 1_000_000
value = float(m.get('conversionsValue', 0))
roas = value / cost if cost > 0 else 0
print(f\"{c:<35} \${cost:>9.2f} \${value:>11.2f} {roas:>7.2f}x\")
"6. Daily Spend Trend
curl -s -X POST \
"https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \More from openclaudia
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