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ops-revenue

Review AWS spending alongside project revenue in one dashboard. Summarizes service costs, monthly forecasts, credit balances and expiry dates, recurring revenue, and Shopify sales volume, helping assess monthly spending against income and available credits.

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Revenue and costs tracker. AWS spend via aws ce, credits tracker, project revenue stages. Shows burn rate, runway estimate, credits expiring.

集成工具ShopifyAWS
查看安装方法

适用场景

  • Reviewing AWS costs by service and month
  • Checking credit balances and expiry dates
  • Reviewing project revenue stages and Shopify sales volume
  • Estimating how long credits cover spending
  • Exporting a dated cost report

包含的文件(1)

  • SKILL.md6.8 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

OPS ► REVENUE & COSTS

Runtime Context

Before executing, load available context:

  1. Preferences: Read ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json

    • timezone — display all timestamps correctly
  2. Daemon health: Read ${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json

    • If action_needed is not null → surface it before the cost report
  3. 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

CLI/API Reference

aws CLI (Cost Explorer)

CommandUsageOutput
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 jsonCost by serviceCost JSON
aws ce get-cost-and-usage --time-period Start=<YYYY-MM-DD>,End=<YYYY-MM-DD> --granularity MONTHLY --metrics "UnblendedCost" --output jsonTotal costCost JSON
aws ce get-cost-forecast --time-period Start=<YYYY-MM-DD>,End=<YYYY-MM-DD> --metric "UNBLENDED_COST" --granularity MONTHLY --output jsonEnd-of-month forecastForecast JSON
aws ce list-savings-plans-purchase-recommendation --output jsonSavings plan recommendationsJSON

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

ArgumentAction
costsShow only AWS cost breakdown
creditsShow only credits and expiry
revenueShow only revenue pipeline
runwayCalculate 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]")

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