Iap Finalizer logo

Iap Finalizer

Community
rshankras
iap-finalizer

Take a one-time in-app purchase from MISSING_METADATA to READY_TO_SUBMIT in App Store Connect — set its price schedule and localized display name/description (and optional review screenshot) via the ASC REST API. Use at Phase 6 (Pre-Release), after the IAP is built in-app (Phase 4) and its ASC record exists. NOT for subscriptions, and NOT the same as promoted-iap (which displays IAPs in-app).

Overview

Publisherrshankras
Repositoryclaude-code-apple-skills
Skill nameiap-finalizer
Stars
744
Forks
70
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 rshankras on GitHub. Read the source before you install it.

Installation

Install the Iap Finalizer 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.
  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/rshankras/claude-code-apple-skills.git /tmp/claude-code-apple-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-apple-skills/skills/app-store/iap-finalizer .claude/skills/iap-finalizer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Iap Finalizer 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 Iap Finalizer 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 Iap Finalizer 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.

IAP Finalizer

Finish a one-time in-app purchase on the store side: price + localization, the two fields the asc-metadata MCP can't set (it exposes only reference name / review note / family-sharing). Moves an IAP from MISSING_METADATAREADY_TO_SUBMIT so it can ship with the build.

This finalizes; it does not define. The product id, tier, and price decision come from Phase 4 (Monetization / StoreKit). The ASC IAP record must already exist (created via the MCP create_iap or the ASC UI). This skill sets the metadata on that existing record.

Where it fits (read the seams)

  • Not Phase 4. Phase 4 builds the IAP into the app (StoreKit 2, paywall) and decides the price. This is Phase 6 store-metadata finalization.
  • Price = one source of truth. Do not re-ask the price. Read it from the monetization decision in .planning/ (e.g. MONETIZATION.md / PLAN.md); only confirm it. Re-eliciting risks drift from the paywall/StoreKit price.
  • Not promoted-iap. That generator displays promoted IAPs in-app; this sets ASC price/localization. Different jobs.
  • One-time IAPs only. Subscriptions are a separate ASC flow (groups/offers) — out of scope here.

Prerequisites

  • _shared/asc-api/ set up (see its README — key + ~/.appstoreconnect/).
  • Set ASC="python3 <path to asc.py>". asc.py lives at _shared/asc-api/asc.py under the same skills/ root as this skill — resolve it relative to this SKILL.md file's location (../../_shared/asc-api/asc.py from this skill's directory), never relative to the project cwd (skills run with cwd = the user's project). Known install locations:
    • SwiftShip symlink install: ~/.claude/swiftship-skills/_shared/asc-api/asc.py
    • Copied install: .claude/skills/_shared/asc-api/asc.py (project) or ~/.claude/skills/_shared/asc-api/asc.py (global)
    • Plugin install: resolve from this file's location — the _shared/ tree ships with the plugin.
  • The IAP already exists in ASC. Get its id with the MCP: list_iap → pick the product.
  • Price decided in Phase 4. Read it from .planning/ and confirm — don't invent it.

Flow — dry-run → confirm → apply

  1. Confirm state. MCP get_iap → current state + productId. Read the target price + Display Name (≤30) + Description (≤45) from .planning/; confirm with the user via AskUserQuestion if anything is missing.
  2. Find the price point.
    $ASC GET "/v1/inAppPurchases/<IAP_ID>/pricePoints?filter[territory]=USA"
    Pick the inAppPurchasePricePoint id whose customerPrice matches the target tier (e.g. 6.99).
  3. Set the price (one-time IAPs use price schedules):
    $ASC POST /v1/inAppPurchasePriceSchedules @price.json          # dry-run: review the body
    $ASC POST /v1/inAppPurchasePriceSchedules @price.json --apply  # after you confirm
    Body: data relationships inAppPurchase→{IAP_ID}, baseTerritory→USA, manualPrices→[new inAppPurchasePrices]; included a new inAppPurchasePrices referencing the price point with startDate: null (="now").
  4. Set the localization:
    $ASC POST /v1/inAppPurchaseLocalizations '{"data":{"type":"inAppPurchaseLocalizations","attributes":{"locale":"en-US","name":"<=30","description":"<=45"},"relationships":{"inAppPurchase":{"data":{"type":"inAppPurchases","id":"<IAP_ID>"}}}}}' --apply
    PATCH the existing localization id instead if one already exists.
  5. Review screenshot (optional): POST /v1/inAppPurchaseAppStoreReviewScreenshots — the 3-step ASC upload (reserve → upload bytes → commit).
  6. Verify: MCP get_iap → state no longer MISSING_METADATA.

Done

  • IAP priced + localized in ASC; state advanced; ready to submit with the build.

Caveats

  • Verify each endpoint/field against the current ASC API reference before --apply (captured 2026-07).
  • Every write is dry-run first — show the body, confirm, then --apply. Never --apply a price the user hasn't seen.
  • One-time IAPs only. Subscriptions → the MCP create_subscription* tools + a separate flow.

Frequently asked questions

What does the Iap Finalizer AI skill do?

Take a one-time in-app purchase from MISSING_METADATA to READY_TO_SUBMIT in App Store Connect — set its price schedule and localized display name/description (and optional review screenshot) via the ASC REST API. Use at Phase 6 (Pre-Release), after the IAP is built in-app (Phase 4) and its ASC record exists. NOT for subscriptions, and NOT the same as promoted-iap (which displays IAPs in-app).

Why use Iap Finalizer on TypingMind?

Because you install it once and use it with any model. Iap Finalizer 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 Iap Finalizer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rshankras/claude-code-apple-skills/tree/main/skills/app-store/iap-finalizer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Iap Finalizer?

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 Iap Finalizer?

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

Is the Iap Finalizer AI skill free?

Yes. It is published on GitHub by rshankras 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇