About ops-revenue
ops-revenue is a Claude skill for reporting AWS costs alongside revenue data from registered projects and configured external sources. It can show spending trends and forecasts, and route the report toward cost, credit, revenue, or runway details.
Key features
- 01Collects AWS costs by service and month
- 02Shows cost trends and end-of-month forecasts
- 03Reads project revenue stages from a registry
- 04Can include external project and Shopify revenue
- 05Routes reports by costs, credits, revenue, or runway
Use cases
- 01Review current AWS spending and forecasts
- 02Compare AWS costs across recent months
- 03View project revenue pipeline alongside infrastructure costs
- 04Check credits or calculate runway
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ davepoon/ buildwithclaude --skill ops-revenueAfter installing, type/ops-revenuein Claude Code to confirm it loaded.
Details
From the project READMEOPS ► REVENUE & COSTS
Runtime Context
Before executing, load available context:
-
Preferences: Read
${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.jsontimezone— display all timestamps correctly
-
Daemon health: Read
${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json- If
action_neededis not null → surface it before the cost report
- If
-
Secrets: AWS Cost Explorer requires credentials.
Secret Resolution
- AWS: check
$AWS_PROFILE/$AWS_ACCESS_KEY_ID→doppler secrets get AWS_ACCESS_KEY_ID --plain→ vault query cmd from prefs - If no credentials available, report "AWS costs unavailable — credentials not configured" and show only the revenue pipeline from registry
- AWS: check
CLI/API Reference
aws CLI (Cost Explorer)
| Command | Usage | Output |
|---|---|---|
aws ce get-cost-and-usage --time-period Start=<YYYY-MM-DD>,End=<YYYY-MM-DD> --granularity MONTHLY --metrics "UnblendedCost" --group-by "Type=DIMENSION,Key=SERVICE" --output json | Cost by service | Cost JSON |
aws ce get-cost-and-usage --time-period Start=<YYYY-MM-DD>,End=<YYYY-MM-DD> --granularity MONTHLY --metrics "UnblendedCost" --output json | Total cost | Cost JSON |
aws ce get-cost-forecast --time-period Start=<YYYY-MM-DD>,End=<YYYY-MM-DD> --metric "UNBLENDED_COST" --granularity MONTHLY --output json | End-of-month forecast | Forecast JSON |
aws ce list-savings-plans-purchase-recommendation --output json | Savings plan recommendations | JSON |
Phase 1 — Gather financial data in parallel
AWS costs (current month)
aws ce get-cost-and-usage \
--time-period "Start=$(date +%Y-%m-01),End=$(date +%Y-%m-%d)" \
--granularity MONTHLY \
--metrics "UnblendedCost" \
--group-by "Type=DIMENSION,Key=SERVICE" \
--output json 2>/dev/null
AWS costs (last 3 months trend)
aws ce get-cost-and-usage \
--time-period "Start=$(date -v-3m +%Y-%m-01 2>/dev/null || date -d '3 months ago' +%Y-%m-01),End=$(date +%Y-%m-%d)" \
--granularity MONTHLY \
--metrics "UnblendedCost" \
--output json 2>/dev/null
AWS credits remaining
aws ce list-savings-plans-purchase-recommendation --output json 2>/dev/null || echo '{}'
aws ce get-credits --output json 2>/dev/null || echo "credits API unavailable"
AWS cost forecast (end of month)
aws ce get-cost-forecast \
--time-period "Start=$(date +%Y-%m-%d),End=$(date +%Y-%m-28)" \
--metric "UNBLENDED_COST" \
--granularity MONTHLY \
--output json 2>/dev/null
Project registry (revenue stage)
cat "${CLAUDE_PLUGIN_ROOT}/scripts/registry.json" 2>/dev/null | jq '[.projects[] | {alias, name, stage: (.revenue_stage // .revenue.stage // "pre-revenue"), mrr: (.mrr // 0), source: (.source // "git"), type: (.type // "repo")}]'
External project revenue (Shopify, custom SaaS)
${CLAUDE_PLUGIN_ROOT}/bin/ops-external 2>/dev/null || echo '[]'
For Shopify projects showing status: "healthy", pull GMV via Shopify Admin API:
# For each Shopify project in registry with valid credentials:
STORE_URL="[from project.shopify.store_url]"
TOKEN="[from env var named in project.shopify.credential_key]"
curl -s -H "X-Shopify-Access-Token: $TOKEN" \
"https://$STORE_URL/admin/api/2024-10/orders.json?status=any&created_at_min=$(date -v-30d +%Y-%m-%dT00:00:00Z 2>/dev/null)&limit=250" 2>/dev/null
Include Shopify GMV in the revenue pipeline table with source=shopify.
Phase 2 — Render dashboard
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
OPS ► REVENUE & COSTS — [month]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
AWS SPEND
This month to date: $[X]
Forecast (EOM): $[X]
Last month: $[X]
MoM change: [+/-X%]
Top services:
[service] $[X] ([%] of total)
[service] $[X]
...
CREDITS
AWS credits remaining: $[X]
Expires: [date]
Burn rate at current: [N months remaining]
REVENUE PIPELINE
PROJECT SOURCE STAGE MRR/GMV STATUS
──────────────────────────────────────────────────────────────
[project] git [stage] $[X] [status]
[project] shopify [stage] $[X] GMV [status]
[project] custom [stage] $[X] [status]
...
──────────────────────────────────────────────────────────────
TOTAL MRR $[X]
TOTAL SHOPIFY GMV (30d) $[X]
RUNWAY ESTIMATE
Monthly burn (AWS): $[X]
Total MRR: $[X]
Net burn: $[X/month]
Credits cover: [N months]
Cash runway: [depends on external data]
──────────────────────────────────────────────────────
Use batched AskUserQuestion calls (max 4 options each):
AskUserQuestion call 1:
[Drill into AWS costs by service]
[Show cost anomalies (spike detection)]
[Export cost report]
[More...]
AskUserQuestion call 2 (only if "More..."):
[Update project revenue stage]
[Set budget alert]
Route by $ARGUMENTS
| Argument | Action |
|---|---|
| costs | Show only AWS cost breakdown |
| credits | Show only credits and expiry |
| revenue | Show only revenue pipeline |
| runway | Calculate and show runway |
| (empty) | Show full dashboard |
Use AskUserQuestion after the dashboard for next action.
Native tool usage
WebFetch — billing API fallback
When aws ce commands fail or return incomplete data, use WebFetch to query the AWS Cost Explorer API directly. Also useful for fetching Stripe/billing provider data if configured.
Write — export reports
When user selects "Export cost report" (option c), use Write to save the report as a dated file:
Write(file_path: "/tmp/ops-revenue-[date].md", content: "[formatted report]")