Asc Whats New Writer logo

Asc Whats New Writer

OrganizationPopular
rorkai
asc-whats-new-writer

Generate engaging, localized App Store release notes (What's New) from git log, bullet points, or free text using canonical metadata under `./metadata`. Optionally pairs with promotional text updates.

Overview

Publisherrorkai
Repositoryapp-store-connect-cli-skills
Skill nameasc-whats-new-writer
Stars
1K
Forks
63
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Asc Whats New Writer 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-whats-new-writer
  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-whats-new-writer .claude/skills/asc-whats-new-writer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Asc Whats New Writer 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 Whats New Writer 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 Whats New Writer 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 What's New Writer

Generate engaging, localized release notes from flexible input. Optionally pair with promotional text updates.

Preconditions

  • Metadata pulled locally into canonical files via asc metadata pull --app "APP_ID" --version "1.2.3" --dir "./metadata". OR: user provides keywords manually.
  • Auth configured for upload (asc auth login or ASC_* env vars).
  • The primary locale is en-US unless the user specifies otherwise.

Before You Start

  1. Read references/release_notes_guidelines.md for tone, structure, and examples.
  2. Identify the latest version directory under metadata/version/ (highest semver). Use this for all metadata reads.
  3. Enumerate existing locales by listing the JSON files in that version directory.

Phase 1: Gather Input

Accept one of three input modes (auto-detect):

Git Log

Parse commits since the last tag:

bash
# Find latest tag
git describe --tags --abbrev=0

# List commits since that tag
git log $(git describe --tags --abbrev=0)..HEAD --oneline --no-merges

Filter out noise: merge commits, dependency bumps, CI changes, formatting-only commits. Extract user-facing changes.

Bullet Points

User provides rough bullets like:

  • "improved search"
  • "fixed crash on launch"
  • "added sleep timer"

Free Text

User describes changes conversationally:

"We made search faster, fixed that annoying crash when you open the app, and added a sleep timer feature"

The skill extracts and structures the changes from the text.

No Input Provided

Prompt the user: "What changed in this release? You can paste git log output, bullet points, or just describe the changes."

Phase 2: Draft Notes (Primary Locale)

Step 1: Classify Changes

Group changes into sections per the guidelines:

  • New — new features or capabilities
  • Improved — enhancements to existing features
  • Fixed — bug fixes users would notice

Omit empty sections. If all changes are fixes, only show "Fixed."

Step 2: Write Benefit-Focused Copy

Follow the tone rules from references/release_notes_guidelines.md:

  • Describe user impact, not implementation details
  • Use direct address ("you") and action verbs
  • Be specific — mention concrete improvements

Step 3: Front-Load the Hook

The first ~170 characters are the only visible part before "more." Lead with the single most impactful change in a complete, compelling sentence.

Step 4: Echo Keywords for Conversion

  1. Read keywords from metadata/version/{latest}/{primary-locale}.json
    • These canonical files are also what asc metadata keywords ... reads and writes.
  2. If the field is empty or missing, skip this step
  3. Identify keywords relevant to the changes being described
  4. Weave them naturally into the notes — never force or stuff

Step 5: Respect Character Limits

  • Keep total length between 500-1500 characters in the primary locale
  • This leaves room for localized expansions (some languages expand 30-40%)
  • Hard limit: 4,000 characters

Step 6: Optionally Draft Promotional Text

If the user wants it, draft a 170-char promotional text that:

  • Summarizes the update's theme in one punchy line
  • Can reference seasonal events
  • Is updatable without a new submission

Present Draft

Show the draft to the user with character count. Wait for approval before localizing.

Phase 3: Localize

Translate the approved notes to all existing locales.

Translation Rules

  • Use formal register and formal "you" forms (Russian: вы, German: Sie, French: vous, Spanish: usted, Dutch: u, Italian: Lei)
  • Adapt tone to local market — playful English may need adjustment for formal markets (ja, de-DE)
  • Do NOT literally translate idioms — adapt them to local equivalents
  • A playful tone in English may need to be more respectful or formal in other cultures

Locale-Specific Keyword Echo

For each locale:

  1. Read keywords from metadata/version/{latest}/{locale}.json
  2. Echo locale-specific keywords naturally in the translated notes
  3. If keywords field is empty, skip echo for that locale

Validate

  • All translations must be ≤ 4,000 characters
  • Promotional text must be ≤ 170 characters per locale
  • If a translation exceeds the limit, shorten it — never truncate mid-sentence

Phase 4: Review & Upload

Step 1: Present Summary

Show a table of all locales with their notes and character counts:

| Locale | What's New (first 80 chars...) | Chars | Promo Text | Chars |
|--------|-------------------------------|-------|------------|-------|
| en-US  | Search just got faster — ...   | 847   | New sleep… | 142   |
| ar-SA  | البحث أصبح أسرع — ...           | 923   | نوم جديد…  | 138   |
| ...    | ...                           | ...   | ...        | ...   |

Step 2: Wait for Approval

Do not upload without user confirmation.

Step 3: Upload

Upload via asc (verify exact syntax with asc --help):

bash
# Individual locale direct update
asc apps info edit --app "APP_ID" --version-id "VERSION_ID" --locale "en-US" --whats-new "Your release notes here"

# Bulk canonical-metadata push after writing ./metadata/version/<version>/<locale>.json
asc metadata push --app "APP_ID" --version "1.2.3" --dir "./metadata" --dry-run
asc metadata push --app "APP_ID" --version "1.2.3" --dir "./metadata"

If promotional text was drafted, either include --promotional-text "..." in the direct update command or write promotionalText into the canonical JSON before asc metadata push.

Step 4: Handle Failures

On partial upload failure:

  • Report which locales succeeded and which failed
  • Offer to retry failed locales

Metadata File Paths

  • Keywords: metadata/version/{latest-version}/{locale}.json → keywords field
  • Current What's New: metadata/version/{latest-version}/{locale}.json → whatsNew field
  • Latest version: highest semver directory under metadata/version/
  • The canonical ./metadata tree is what asc metadata pull, asc metadata push, and asc metadata keywords ... operate on.
  • Follows the same metadata resolution conventions as asc-aso-audit

Notes

  • What's New is not indexed for App Store search — write for humans, not algorithms.
  • Promotional text is the only metadata field updatable without a new submission.
  • The 170-char visible window is the most important part of your release notes.
  • Each app update triggers algorithm re-evaluation — the act of updating matters, even if the text doesn't affect ranking.
  • Ideal update cadence: every 2-4 weeks.
  • For full metadata translation (all fields), use asc-localize-metadata instead.
  • For keyword research and optimization, use asc-aso-audit first.
  • If the local keyword field is stale before drafting, refresh it with asc metadata pull or inspect planned keyword changes with asc metadata keywords diff.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Asc Whats New Writer AI skill do?

Generate engaging, localized App Store release notes (What's New) from git log, bullet points, or free text using canonical metadata under `./metadata`. Optionally pairs with promotional text updates.

Why use Asc Whats New Writer on TypingMind?

Because you install it once and use it with any model. Asc Whats New Writer 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 Whats New Writer 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-whats-new-writer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Asc Whats New Writer?

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 Whats New Writer?

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

Is the Asc Whats New Writer 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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