From openclaudia-openclaudia-skills
Pulls Google Ads campaign, keyword, and conversion data via the Google Ads API and GAQL. Useful for analyzing ad performance, costs, quality scores, and ROAS.
How this skill is triggered — by the user, by Claude, or both
Slash command
/openclaudia-openclaudia-skills:google-ads-reportThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Pull campaign, keyword, and conversion data from the Google Ads API.
Pull campaign, keyword, and conversion data from the Google Ads API.
Requires:
GOOGLE_CLIENT_ID and GOOGLE_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.
# 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=${GOOGLE_CLIENT_SECRET}" \
-d "redirect_uri=urn:ietf:wg:oauth:2.0:oob" \
-d "grant_type=authorization_code"
Google Ads API uses GAQL (Google Ads Query Language) via REST.
POST https://googleads.googleapis.com/v17/customers/{CUSTOMER_ID}/googleAds:searchStream
Headers:
Authorization: Bearer {ACCESS_TOKEN}
developer-token: {DEVELOPER_TOKEN}
login-customer-id: {LOGIN_CUSTOMER_ID} # Only if using manager account
Content-Type: application/json
Overview of all campaigns with key metrics.
curl -s -X POST \
"https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
-H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
-H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"query": "SELECT campaign.name, campaign.status, metrics.impressions, metrics.clicks, metrics.ctr, metrics.average_cpc, metrics.cost_micros, metrics.conversions, metrics.cost_per_conversion, metrics.conversions_value FROM campaign WHERE segments.date DURING LAST_30_DAYS AND campaign.status != REMOVED ORDER BY metrics.cost_micros DESC"
}'
curl -s -X POST "..." | python3 -c "
import json, sys
data = json.load(sys.stdin)
print(f\"{'Campaign':<35} {'Status':<10} {'Impr':>8} {'Clicks':>7} {'CTR':>7} {'Avg CPC':>8} {'Cost':>10} {'Conv':>6} {'CPA':>8}\")
print('-' * 110)
for batch in data:
for row in batch.get('results', []):
c = row.get('campaign', {})
m = row.get('metrics', {})
cost = int(m.get('costMicros', 0)) / 1_000_000
cpc = int(m.get('averageCpc', 0)) / 1_000_000
cpa = float(m.get('costPerConversion', 0)) / 1_000_000 if m.get('costPerConversion') else 0
print(f\"{c.get('name',''):<35} {c.get('status',''):<10} {int(m.get('impressions',0)):>8} {int(m.get('clicks',0)):>7} {float(m.get('ctr',0))*100:>6.2f}% \${cpc:>7.2f} \${cost:>9.2f} {float(m.get('conversions',0)):>6.1f} \${cpa:>7.2f}\")
"
All cost values in Google Ads API are in micros (1/1,000,000 of the currency unit). Divide by 1,000,000 to get the actual amount.
See how individual keywords perform.
curl -s -X POST \
"https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
-H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
-H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"query": "SELECT ad_group_criterion.keyword.text, ad_group_criterion.keyword.match_type, ad_group_criterion.quality_info.quality_score, metrics.impressions, metrics.clicks, metrics.ctr, metrics.average_cpc, metrics.cost_micros, metrics.conversions, metrics.conversions_value FROM keyword_view WHERE segments.date DURING LAST_30_DAYS AND ad_group_criterion.status != REMOVED ORDER BY metrics.cost_micros DESC LIMIT 50"
}'
curl -s -X POST \
"https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
-H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
-H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"query": "SELECT ad_group_criterion.keyword.text, ad_group_criterion.quality_info.quality_score, ad_group_criterion.quality_info.creative_quality_score, ad_group_criterion.quality_info.post_click_quality_score, ad_group_criterion.quality_info.search_predicted_ctr, metrics.impressions, metrics.average_cpc FROM keyword_view WHERE ad_group_criterion.quality_info.quality_score IS NOT NULL AND segments.date DURING LAST_30_DAYS ORDER BY ad_group_criterion.quality_info.quality_score ASC LIMIT 50"
}'
Quality Score Components:
curl -s -X POST \
"https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
-H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
-H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"query": "SELECT campaign.name, ad_group.name, ad_group.status, metrics.impressions, metrics.clicks, metrics.ctr, metrics.average_cpc, metrics.cost_micros, metrics.conversions FROM ad_group WHERE segments.date DURING LAST_30_DAYS AND ad_group.status != REMOVED ORDER BY metrics.cost_micros DESC LIMIT 50"
}'
See what users actually searched for (vs. your keywords).
curl -s -X POST \
"https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
-H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
-H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"query": "SELECT search_term_view.search_term, segments.keyword.info.text, segments.keyword.info.match_type, metrics.impressions, metrics.clicks, metrics.ctr, metrics.cost_micros, metrics.conversions FROM search_term_view WHERE segments.date DURING LAST_30_DAYS ORDER BY metrics.impressions DESC LIMIT 100"
}'
Use this to:
curl -s -X POST \
"https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
-H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
-H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"query": "SELECT campaign.name, metrics.conversions, metrics.conversions_value, metrics.cost_micros, metrics.conversions_from_interactions_rate, metrics.value_per_conversion FROM campaign WHERE segments.date DURING LAST_30_DAYS AND campaign.status = ENABLED ORDER BY metrics.conversions DESC"
}'
# ROAS = conversions_value / (cost_micros / 1_000_000)
curl -s -X POST "..." | python3 -c "
import json, sys
data = json.load(sys.stdin)
print(f\"{'Campaign':<35} {'Cost':>10} {'Conv Value':>12} {'ROAS':>8}\")
for batch in data:
for row in batch.get('results', []):
c = row['campaign']['name']
m = row['metrics']
cost = int(m.get('costMicros', 0)) / 1_000_000
value = float(m.get('conversionsValue', 0))
roas = value / cost if cost > 0 else 0
print(f\"{c:<35} \${cost:>9.2f} \${value:>11.2f} {roas:>7.2f}x\")
"
curl -s -X POST \
"https://googleads.googleapis.com/v17/customers/${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 segments.date, metrics.impressions, metrics.clicks, metrics.cost_micros, metrics.conversions FROM customer WHERE segments.date DURING LAST_30_DAYS ORDER BY segments.date DESC"
}'
Use these built-in date ranges in GAQL:
TODAY, YESTERDAYLAST_7_DAYS, LAST_14_DAYS, LAST_30_DAYSTHIS_MONTH, LAST_MONTHTHIS_QUARTER, LAST_QUARTERsegments.date BETWEEN '2024-01-01' AND '2024-03-31'When asked for a full ads report:
## Google Ads Report: {Account Name}
### Period: {date range}
### Account Summary
| Metric | Value | vs Previous |
|--------|-------|-------------|
| Total Spend | $X | +Y% |
| Impressions | X | +Y% |
| Clicks | X | +Y% |
| CTR | X% | +Y pp |
| Avg CPC | $X | +Y% |
| Conversions | X | +Y% |
| ROAS | Xx | +Y% |
### Campaign Performance
| Campaign | Spend | Clicks | Conv | CPA | ROAS |
|----------|-------|--------|------|-----|------|
| ... | ... | ... | ... | ... | ... |
### Top Keywords (by spend)
| Keyword | Match | QS | Spend | Clicks | Conv | CPC |
|---------|-------|-----|-------|--------|------|-----|
| ... | ... | ... | ... | ... | ... | ... |
### Recommendations
- **Pause**: Keywords with high spend and zero conversions
- **Increase Bids**: Keywords with high conversion rate but limited budget
- **Negative Keywords**: Search terms wasting budget
- **Quality Score Fixes**: Keywords with QS < 5 and actions to improve
- **Budget Reallocation**: Shift budget from low-ROAS to high-ROAS campaigns
| Error | Cause |
|---|---|
AUTHENTICATION_ERROR | Invalid or expired access token |
AUTHORIZATION_ERROR | Developer token issue or account access |
REQUEST_ERROR | GAQL syntax error |
QUOTA_ERROR | API quota exceeded |
WHERE segments.date DURING ... (required for most metric queries)REMOVED status filter incorrectlycostMicros division by 1,000,000searchStream instead of search for large result sets (no pagination needed)npx claudepluginhub openclaudia/openclaudia-skillsCreates bite-sized, testable implementation plans from specs or requirements, with file structure and task decomposition. Activates before coding multi-step tasks.