Agent skill

Asc Metrics

MITAuto-check passedMobile

Install Asc Metrics

skills CLI

$ npx skills add appeeky/aso-skills --skill asc-metrics -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install appeeky/aso-skills asc-metrics --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/asc-metrics .claude/skills/asc-metrics && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "asc-metrics" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/asc-metrics into .claude/skills/asc-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "asc-metrics", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/appeeky/aso-skills/tree/main/skills/asc-metrics

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add appeeky/aso-skills --skill asc-metrics -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install appeeky/aso-skills asc-metrics --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/asc-metrics .agents/skills/asc-metrics && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "asc-metrics" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/asc-metrics into .agents/skills/asc-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "asc-metrics", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add appeeky/aso-skills --skill asc-metrics -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install appeeky/aso-skills asc-metrics --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/asc-metrics .cursor/skills/asc-metrics && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "asc-metrics" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/asc-metrics into .cursor/skills/asc-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "asc-metrics", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/appeeky/aso-skills.git --path skills/asc-metrics

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add appeeky/aso-skills --skill asc-metrics -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install appeeky/aso-skills asc-metrics --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/asc-metrics .gemini/skills/asc-metrics && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "asc-metrics" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/asc-metrics into .gemini/skills/asc-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "asc-metrics", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install appeeky/aso-skills asc-metrics

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add appeeky/aso-skills --skill asc-metrics -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/asc-metrics .github/skills/asc-metrics && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "asc-metrics" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/asc-metrics into .github/skills/asc-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "asc-metrics", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add appeeky/aso-skills --skill asc-metrics -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install appeeky/aso-skills asc-metrics --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/asc-metrics .opencode/skills/asc-metrics && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "asc-metrics" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/asc-metrics into .opencode/skills/asc-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "asc-metrics", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: asc-metrics
GitHub stars: 2.2k
Token cost: ~1.3k tokens
SKILL.md length: 480 words
Files: 1
Skills in repo: 39
Repo updated: Oct 6, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Works in 3 steps: List available apps → Get overview (portfolio) → Get app detail (single app)
Wants to analyze their own apps actual performance data from App Store Connect — real downloads
SKILL.md covers Prerequisites, Initial Assessment, Fetching Data and Analysis Frameworks, plus 3 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Asc Metrics is an agent skill from appeeky/aso-skills. 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…

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Mobile, covering App store release. It works with App Store Connect. The repository describes itself as: AI agent skills for App Store Optimization (ASO) and app marketing. Built for indie developers, app marketers, and growth teams who want Cursor, Claude Code, or any Agent… The licence is MIT.

When your agent uses it

Wants to analyze their own apps actual performance data from App Store Connect — real downloads
Country breakdowns synced via Appeeky Connect
The user asks about my downloads
How is my app performing

Example prompts

“my downloads”
“my revenue”
“how is my app performing”
“/asc-metrics”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

List available apps
Get overview (portfolio)
Get app detail (single app)

What it can do on your machine

Read from SKILL.md and the folder at commit 3919d7c. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- appeeky.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Asc Metrics loads about 1.3k tokens when it runs. Until then it costs about 135 tokens; SKILL.md has 480 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~135
When it runs · the whole SKILL.md, loaded when a task matches: ~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from appeeky/aso-skills at commit 3919d7c, republished under its MIT licence (© appeeky). 480 words, ~1,328 tokens.

Download SKILL.mdSave it as .claude/skills/asc-metrics/SKILL.md (or your agent's skills folder).

name: asc-metrics
description: 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.
metadata.version: 1.0.0

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 and return.

Initial Assessment

Check for app-marketing-context.md — read it for app context
Ask: What do you want to analyze? (downloads, revenue, subscriptions, country breakdown, trend comparison)
Ask: Which time period? (default: last 30 days)
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 includes: daily[], countries[], totals.

See full API reference: appeeky-connect.md

Analysis Frameworks

Period-over-Period Comparison

Fetch two equal-length windows and compare:

Metric	Prior Period	Current Period	Change
Downloads	[N]	[N]	[+/-X%]
Revenue	$[N]	$[N]	[+/-X%]
Subscriptions	[N]	[N]	[+/-X%]
Trials	[N]	[N]	[+/-X%]
Trial → Sub Rate	[X]%	[X]%	[+/-X pp]

What to look for:

Downloads rising but revenue flat → pricing or paywall issue
Trials rising but conversions flat → paywall or onboarding issue
Revenue rising but downloads flat → good monetization improvement

Daily Trend Analysis

From daily[], identify:

Spikes — Did a feature, update, or press trigger them?
Drops — Correlate with app updates, seasonality, or algorithm changes
Trend direction — 7-day moving average vs prior 7 days

Country Breakdown

Sort countries[] by downloads and revenue:

Top 5 by downloads — Are you investing in ASO for these markets?
Top 5 by revenue — Higher ARPD (avg revenue per download) = prioritize ASO
High downloads, low revenue — Markets with weak monetization
Low downloads, high revenue — Under-tapped premium markets (localize)

Show full SKILL.md (173 more words)Show less

Revenue Quality Check

Compute from the data:

Metric	Formula	Benchmark
ARPD	Revenue / Downloads	> $0.05 good; > $0.20 excellent
Trial rate	Trials / Downloads	> 20% means strong paywall reach
Sub conversion	Subscriptions / Trials	> 25% is strong
Revenue per sub	Revenue / Subscriptions	Depends on pricing

Output Format

Performance Snapshot

📊 [App Name] — [Period]

Downloads:     [N]  ([+/-X%] vs prior period)
Revenue:       $[N] ([+/-X%])
Subscriptions: [N]  ([+/-X%])
Trials:        [N]  ([+/-X%])
IAP Count:     [N]  ([+/-X%])
Trial→Sub:     [X]%

Top Markets (downloads):
  1. [Country] — [N] downloads, $[N]
  2. [Country] — [N] downloads, $[N]
  3. [Country] — [N] downloads, $[N]

Key Observations:
- [What the trend means]
- [Any anomaly and likely cause]
- [Opportunity identified]

Recommended Actions:
1. [Specific action based on data]
2. [Specific action based on data]

Trend Alert

When a significant change (>20%) is detected, flag it:

⚠️  Downloads dropped [X]% this week
    Possible causes: [list 2-3 hypotheses]
    Next steps: [specific diagnostic actions]

Common Questions

"Why did my downloads drop?"

Pull daily trend — when did it start?
Check if an update shipped on that date
Check keyword rankings (use keyword-research skill)
Check competitor activity (use competitor-analysis skill)

"Which countries should I localize for?" Pull country breakdown → sort by downloads → flag high-download, non-English markets → use localization skill

"Is my monetization improving?" Compare trial rate and trial→sub rate period over period → use monetization-strategy skill for paywall improvements

app-analytics — Full analytics stack setup and KPI framework
monetization-strategy — Improve subscription conversion and paywall
retention-optimization — Reduce churn using the metrics as input
localization — Expand top-performing markets seen in country data
ua-campaign — Validate whether paid installs show in downloads spike

Files

Just SKILL.md in skills/asc-metrics of appeeky/aso-skills.

Open the folder on GitHubat commit 3919d7c

Compare with similar skills

Asc Metrics next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Asc Metrics compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Asc Metrics this skillappeeky/aso-skills	2.2k	—	~1.3k	Automated safety check: Pass	MIT	3 days ago
Asc Ppp Pricingrorkai/app-store-connect-cli-skills	1.1k	3 repos	~4.2k	Automated safety check: Pass	MIT	5 days ago
Asc Subscription Localizationrorkai/app-store-connect-cli-skills	1.1k	2 repos	~2.7k	Automated safety check: Pass	MIT	5 days ago
Sync Asc Skillsrorkai/App-Store-Connect-CLI	7.7k	—	~782	Automated safety check: Pass	MIT	yesterday
Asc Wall Submitrorkai/app-store-connect-cli-skills	1.1k	3 repos	~422	Automated safety check: Pass	MIT	5 days ago
App Namerrshankras/claude-code-apple-skills	785	—	~3.4k	Automated safety check: Pass	MIT	2 mo ago

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Questions about Asc Metrics

What does Asc Metrics 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. Asc Metrics is an agent skill from appeeky/aso-skills. 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.

When should I use Asc Metrics?

Asc Metrics fits situations like: wants to analyze their own apps actual performance data from App Store Connect — real downloads; country breakdowns synced via Appeeky Connect; the user asks about my downloads; how is my app performing.

How do I install Asc Metrics in Claude Code?

Run `npx skills add appeeky/aso-skills --skill asc-metrics -a claude-code`. Or copy the skill folder (skills/asc-metrics in appeeky/aso-skills) into .claude/skills/asc-metrics in your project. Claude Code loads it when a task matches its description.

How do I install Asc Metrics in Codex?

Run `npx skills add appeeky/aso-skills --skill asc-metrics -a codex`. Or copy the skill folder (skills/asc-metrics in appeeky/aso-skills) into .agents/skills/asc-metrics in your project. Codex loads it when a task matches its description.

Can I use Asc Metrics in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add appeeky/aso-skills --skill asc-metrics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/asc-metrics, .gemini/skills/asc-metrics, .github/skills/asc-metrics and .opencode/skills/asc-metrics in your project.

What does Asc Metrics need to run?

SKILL.md names no scripts, command-line tools or credentials: Asc Metrics is instructions for the agent only.

Does Asc Metrics access the network?

SKILL.md names 1 domain. As links in the text: appeeky.com. This is read from the text; nothing was executed.

Is Asc Metrics safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Asc Metrics use?

Asc Metrics is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Asc Metrics use?

About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Asc Metrics?

Skills that share tags, products or a category with Asc Metrics: Asc Ppp Pricing (rorkai/app-store-connect-cli-skills, 1.1k stars), Asc Subscription Localization (rorkai/app-store-connect-cli-skills, 1.1k stars), Sync Asc Skills (rorkai/App-Store-Connect-CLI, 7.7k stars) and Asc Wall Submit (rorkai/app-store-connect-cli-skills, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Asc Metrics?

appeeky (a GitHub organization) maintains it in appeeky/aso-skills, which has 2,159 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 6, 2026.

Source: appeeky/aso-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Asc Metrics

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

ASC Metrics

Prerequisites

Initial Assessment

Fetching Data

Step 1 — List available apps

Step 2 — Get overview (portfolio)

Step 3 — Get app detail (single app)

Analysis Frameworks

Period-over-Period Comparison

Daily Trend Analysis

Country Breakdown

Revenue Quality Check

Output Format

Performance Snapshot

Trend Alert

Common Questions

Related Skills

Files

Compare with similar skills

Similar skills

More from appeeky/aso-skills

Related

Questions about Asc Metrics