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Asc Cli Usage

OrganizationPopular
rorkai
asc-cli-usage

Guidance for using asc cli in this repo (flags, output formats, pagination, auth, and discovery). Use when asked to run or design asc commands or interact with App Store Connect via the CLI.

Overview

Publisherrorkai
Repositoryapp-store-connect-cli-skills
Skill nameasc-cli-usage
Stars
1K
Forks
63
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by rorkai on GitHub. Read the source before you install it.

Installation

Install the Asc Cli Usage AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/rorkai/app-store-connect-cli-skills/tree/main/skills/asc-cli-usage
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rorkai/app-store-connect-cli-skills.git /tmp/app-store-connect-cli-skills
mkdir -p .claude/skills
cp -r /tmp/app-store-connect-cli-skills/skills/asc-cli-usage .claude/skills/asc-cli-usage
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Asc Cli Usage in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Asc Cli Usage on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Asc Cli Usage is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

asc cli usage

Use this skill when you need to run or design asc commands for App Store Connect.

Command discovery

  • Always use --help to discover commands and flags.
    • asc --help
    • asc builds --help
    • asc builds list --help
  • Use asc search for local, deterministic command discovery when you know the workflow but not the command path.
    • asc search "submit app for review"
    • asc search --output table "upload build"
  • Use asc schema to inspect bundled App Store Connect endpoint schemas and request/query fields before designing API-facing commands.
    • asc schema --pretty "GET /v1/apps"
    • asc schema --method POST appStoreVersions
  • Use asc capabilities to explain CLI-supported, partial, web-session, and public-API-limited workflow coverage.
    • asc capabilities --area release --output table
    • asc capabilities --status web-session --output table
    • asc capabilities --status not-public-api --output markdown

Canonical verbs (current asc)

  • Prefer view over legacy get aliases for read-only commands in docs and automation.
    • asc apps view --id "APP_ID"
    • asc versions view --version-id "VERSION_ID"
    • asc pricing availability view --app "APP_ID"
  • Prefer edit for update-only availability surfaces and other canonical edit flows.
    • asc pricing availability edit --app "APP_ID" --territory "USA,GBR" --available true
    • asc app-setup availability edit --app "APP_ID" --territory "USA,GBR" --available true
    • asc xcode version edit --build-number "42"
  • Use asc pricing availability create to initialize app availability before using the update-only edit command. If Apple rejects the public-API bootstrap, authenticate a web session and use asc web apps availability create, or configure Pricing and Availability in App Store Connect.
    • asc pricing availability create --app "APP_ID" --territory "USA,GBR" --available true --available-in-new-territories true
    • asc web apps availability create --app "APP_ID" --territory "USA,GBR" --available-in-new-territories true
  • Keep set where the CLI intentionally models a higher-level replacement/configuration flow and --help still shows set as the canonical verb.

Flag conventions

  • Use explicit long flags (e.g., --app, --output).
  • Prefer explicit flags in automation; some newer commands can prompt for missing fields when run interactively.
  • Destructive operations require --confirm.
  • Use --paginate when the user wants all pages.

Output formats

  • Output defaults are TTY-aware: table in interactive terminals, json when piped or non-interactive.
  • Use --output table or --output markdown only for human-readable output.
  • --pretty is only valid with JSON output.

Authentication and defaults

  • Prefer keychain auth via asc auth login.
  • Fallback env vars: ASC_KEY_ID, ASC_ISSUER_ID, ASC_PRIVATE_KEY_PATH, ASC_PRIVATE_KEY, ASC_PRIVATE_KEY_B64.
  • ASC_APP_ID can provide a default app ID.
  • When permissions are unclear, inspect exact API key role coverage with asc web auth capabilities.
    • This lives under the web-session auth surface.
    • It can resolve the current local auth by default, or inspect a specific key with --key-id.
  • Create an App Store Connect team API key through a cached Apple Account web session with asc web api-keys create.
    • An Account Holder or Admin session is required; use asc web auth login --apple-id "user@example.com" first when needed.
    • The command saves the one-time P8 as AuthKey_<KEY_ID>.p8 without printing its contents; choose an explicit private directory with --output-dir.
    • Example: asc web api-keys create --name "CI uploads" --role APP_MANAGER --output-dir "./keys" --output json.

Reuse authentication before requesting another code

  • API-key authentication (asc auth) and Apple Account web sessions (asc web auth) are separate. Prefer the existing keychain API profile for supported operations; inspect asc auth status and command capabilities before starting a web login. A profile name is a local label, not an app-level permission boundary.
  • For web-only work, check asc web auth status --apple-id "user@example.com" --output json first. Reuse an authenticated cached session and verify its provider matches the intended account before mutations. Do not log out or clear trust/session state as routine preparation.
  • Give one process ownership of an interactive sign-in for an Apple Account. While a code prompt is pending, continue that same process; coordinate or serialize other agents instead of starting another login that may invalidate its challenge.
  • Match a code to the current prompt. A trusted-device notification code and an SMS fallback code belong to different verification steps. Once the CLI announces phone delivery, use the newly delivered phone code, not the earlier notification code. Do not deliberately submit bad codes as a normal resend strategy; inspect the installed command's help for supported recovery.
  • On failure, distinguish code rejection from a timeout after verification or provider selection. Inspect the exact error and installed version before requesting more codes. Increasing a request timeout is not proof that an interactive-session problem is fixed.
  • After login, verify authenticated and the selected provider with a separate status read; confirm the next web operation reuses the cache before reporting success. Apple may expire sessions later, so do not promise permanent unattended authentication.
  • Inspect asc web auth login --help before configuring a supported --two-factor-code-command. Keep credentials and codes out of logs, source, shell history, and PRs. Do not assume a password-manager passkey can be supplied to the CLI or that browser sign-in refreshes its cache; use only authentication mechanisms explicitly supported by the installed CLI.

Apple Ads

  • Use asc ads --help before choosing a command.
  • Apple Ads uses asc ads auth, --ads-profile, and ASC_ADS_* variables. It does not use App Store Connect API credentials.
  • Direct resource commands use Platform API v1 with --ad-account or ASC_ADS_AD_ACCOUNT_ID. Deprecated Campaign Management API v5 commands live under asc ads v5 and use --org or ASC_ADS_ORG_ID; never substitute one ID for the other.
  • Discover ad-account access with asc ads auth discover --output json or inspect one ACL response with asc ads acls list --output json.
  • Body commands use --file with the exact schema named by the leaf help. V1 query filters use singular value, and bulk bodies may use wrapper objects rather than v5 arrays.
  • Apple Ads resource commands emit JSON. Use --paginate only where help shows it; reports and most query bodies carry pagination inside the JSON file.
  • Deletes and spend-, billing-, delivery-, targeting-, or access-sensitive mutations require --confirm. An explicitly paused campaign create is the main documented safe exception.
  • For live mutation tests, create paused resources with a clear test name, save every ID, pause spend-bearing resources first, and delete only resources created by the test.

Timeouts

  • ASC_TIMEOUT / ASC_TIMEOUT_SECONDS control request timeouts.
  • ASC_UPLOAD_TIMEOUT / ASC_UPLOAD_TIMEOUT_SECONDS control upload timeouts.

Frequently asked questions

What does the Asc Cli Usage AI skill do?

Guidance for using asc cli in this repo (flags, output formats, pagination, auth, and discovery). Use when asked to run or design asc commands or interact with App Store Connect via the CLI.

Why use Asc Cli Usage on TypingMind?

Because you install it once and use it with any model. Asc Cli Usage is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Asc Cli Usage in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rorkai/app-store-connect-cli-skills/tree/main/skills/asc-cli-usage. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Asc Cli Usage?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Asc Cli Usage?

As many as you like. As long as a model supports skills, you can use Asc Cli Usage with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Asc Cli Usage AI skill free?

Yes. It is published on GitHub by rorkai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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