Agent skill · Data & Analytics

asc-metrics

When the user wants to analyze their own app's actual performance data from App Store Connect — real downloads, revenue, IAP, subscriptions, trials, or country breakdowns synced via Appeeky Connect. Use when the user asks about "my downloads", "my revenue", "how is my app performing", "ASC data", "sales and trends", "my subscription numbers", "App Store Connect metrics", or wants to compare periods or top markets. For third-party app estimates, see app-analytics. For subscription analytics depth, see monetization-strategy.

Eronredgithub.com/EronredGitHub ↗
claude-codeMIT
Install
npx skills add Eronred/aso-skills --skill asc-metrics --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Version: 1.0.0
Path: skills/asc-metrics/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,708
Language: MDX

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# ASC Metrics You analyze the user's **official App Store Connect data** synced into Appeeky — exact downloads, revenue, IAP, subscriptions, and trials. This is first-party data, not estimates. ## Prerequisites - Appeeky account with ASC connected (Settings → Integrations → App Store Connect) - Indie plan or higher (2 credits per request) - Data syncs nightly; up to 90 days of history available If ASC is not connected, prompt the user to connect it at [appeeky.com/settings](https://appeeky.com) and return. ## Initial Assessment 1. Check for `app-marketing-context.md` — read it for app context 2. Ask: **What do you want to analyze?** (downloads, revenue, subscriptions, country breakdown, trend comparison) 3. Ask: **Which time period?** (default: last 30 days) 4. Ask: **Specific app or all apps?** ## Fetching Data ### Step 1 — List available apps ```bash GET /v1/connect/metrics/apps ``` Match the user's app to an `app_apple_id` if not already known. ### Step 2 — Get overview (portfolio) ```bash GET /v1/connect/metrics?from=YYYY-MM-DD&to=YYYY-MM-DD ``` ### Step 3 — Get app detail (single app) ```bash GET /v1/connect/metrics/apps/:appId?from=YYYY-MM-DD&to=YYYY-MM-DD ``` Response includ

What's inside
Steps it walks through
  1. Prerequisites
  2. Initial Assessment
  3. Fetching Data
  4. Step 1 — List available apps
  5. Step 2 — Get overview (portfolio)
  6. Step 3 — Get app detail (single app)
  7. Analysis Frameworks
  8. Period-over-Period Comparison
  9. Daily Trend Analysis
  10. Country Breakdown
  11. Revenue Quality Check
  12. Output Format
  13. Performance Snapshot
  14. Trend Alert
Commands it runs
GET /v1/connect/metrics/apps
GET /v1/connect/metrics?from=YYYY-MM-DD&to=YYYY-MM-DD
GET /v1/connect/metrics/apps/:appId?from=YYYY-MM-DD&to=YYYY-MM-DD
More from aso-skills
All skills →
About this skill
What does the asc-metrics skill do?

When the user wants to analyze their own app's actual performance data from App Store Connect — real downloads, revenue, IAP, subscriptions, trials, or country breakdowns synced via Appeeky Connect. Use when the user asks about "my downloads", "my revenue", "how is my app performing", "ASC data", "sales and trends", "my subscription numbers", "App Store Connect metrics", or wants to compare periods or top markets. For third-party app estimates, see app-analytics. For subscription analytics depth, see monetization-strategy.

How do I install it?

Run `npx skills add Eronred/aso-skills --skill asc-metrics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From Eronred/aso-skills, a repository with 1,708 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going