SKILLS/app-store-changelog/SKILL.md
Generate user-facing App Store release notes from git history since the last tag.
npx skillsauth add pinkpixel-dev/skills-collection-1 app-store-changelogInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Generate a comprehensive, user-facing changelog from git history since the last tag, then translate commits into clear App Store release notes.
scripts/collect_release_changes.sh from the repo root to gather commits and touched files.scripts/collect_release_changes.sh v1.2.3 HEAD.The following shows how raw commits are translated into App Store bullets:
| Raw commit message | App Store bullet |
|---|---|
| fix(auth): resolve token refresh race condition on iOS 17 | • Fixed a login issue that could leave some users unexpectedly signed out. |
| feat(search): add voice input to search bar | • Search your library hands-free with the new voice input option. |
| perf(timeline): lazy-load images to reduce scroll jank | • Scrolling through your timeline is now smoother and faster. |
Internal-only commits that are dropped (no user impact):
chore: upgrade fastlane to 2.219refactor(network): extract URLSession wrapper into moduleci: add nightly build jobWhat's New in Version 3.4
• Search your library hands-free with the new voice input option.
• Scrolling through your timeline is now smoother and faster.
• Fixed a login issue that could leave some users unexpectedly signed out.
• Added dark-mode support to the settings screen.
• Improved load times when opening large photo albums.
scripts/collect_release_changes.sh: Collect commits and touched files since last tag.references/release-notes-guidelines.md: Language, filtering, and QA rules for App Store notes.testing
When the user wants a full ASO health audit, review their App Store listing quality, or diagnose why their app isn't ranking. Also use when the user mentions "ASO audit", "ASO score", "why am I not ranking", "listing review", or "optimize my app store page". For keyword-specific research, see keyword-research. For metadata writing, see metadata-optimization.
testing
Clarify requirements before implementing. Use when serious doubts arise.
tools
Complete reference and build guide for ASI:One (ASI1) — the AI platform by Fetch.ai built for agentic, Web3-native applications. Use this skill IMMEDIATELY and ALWAYS when the user mentions ASI1, ASI:One, Fetch.ai AI API, building with ASI1, integrating ASI:One, asking about ASI1 models, tool calling with ASI1, ASI1 image generation, ASI1 agentic LLM, Agentverse, uagents, Agent Chat Protocol, structured output with ASI1, or OpenAI-compatible wrappers for ASI1. Also trigger when the user says things like "use ASI1 instead of OpenAI", "build an app with ASI:One", "ASI1 API", or references docs.asi1.ai. This skill covers everything needed to build production apps - setup, all models, all API features, tool calling, image gen, agentic orchestration, structured data, session management, streaming, LangChain integration, uagents / Agent Chat Protocol, and TypeScript/Node.js patterns.
data-ai
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.